New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
After studying this course, students will be able to
Know about the basic concept of heat transfer and its modes.
Solve problems based on conduction, convection, and radiation.
Differentiate the modes of heat transfer i.e. conduction, convection, and radiation
Understand the working principle and types of heat exchangers.
Understand the concept of boiling and condensation, mass transfer.
Sukhatme SP; Heat and mass transfer; University Press Hyderabad
Holman JP; Heat transfer; TMH
Nag PK; heat and Mass Transfer; TMH
Domkudwar,Heat and Mass Transfer,Dhanpt Rai & Co.
Sachdeva R.C., Fundamentals of Engineering Heat and Mass Transfer, New Age Science
Dutta BK; Heat Transfer Principles And App; PHI Learning
Mills AF and Ganesan V; Heat transfer; Pearson
Cengel Yunus A; Heat and Mass transfer;TMH
Yadav R; Heat and Mass Transfer; Central India pub-Allahabad
Incropera FP and Dewitt DP; Heat and Mass transfer; Wiley
Conduction through a rod to determine thermal conductivity of material
Forced and free convection over circular cylinder
Free convection from extended surfaces
Parallel flow and counter flow heat exchanger effectiveness and heat transfer rate
Calibration of thermocouple
Experimental determination of Stefen-Boltzman constant
Evaluation
Evaluation will be continuous an integral part of the class as well through external assessment.
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
Understand the fundamentals and technologies used in different advance machining processes.
Apply the characteristics and applications of the product obtained using advanced manufacturing processes.
Compare different advance machining processes.
Mikell P. Groover, Fundamentals of Modern Manufacturing, Wiley India, ISBN 978 81 265 2301 6
Pandey P.C, Shan H.S., Modern Machining Processes, Tata McGraw Hill,ISBN 0 07 096518 8
Lal G.K,Gupta V, Reddy N.V., Narosa Publishing House,ISBN 81 7319 709 1
CMTI Handbook
Jain V.K. Introduction to Micro Machining Process Narosa Publication
Jain V.K. ,Micromanufacturing Processes , Crc Press.
Evaluation will be continuous an integral part of the class as well through external assessment.
New Scheme Based On AICTE Flexible Curricula
The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. The Internet of Things (IoT) is a course about the new paradigm of objects interacting with people, with information systems, and with other objects. The course will focus on creative thinking and on hands-on project development.
After learning the course, the student will be able:
Understand the vision of IoT from a global context.
Understand the application of IoT.
Determine the Market perspective of IoT.
Use of Devices, Gateways and Data Management in IoT.
Building state of the art architecture in IoT.
Application of IoT in Industrial and Commercial Building Automation and Real World Design Constraints.
Vision, Definition, Conceptual Framework, Architectural view, technology behind IoT, Sources of the IoT, M2M Communication, IoT Examples . Design Principles for Connected Devices: IoT/M2M systems layers and design standardization, communication technologies, data enrichment and consolidation, ease of designing and affordability .
Sensors, digital sensors, actuators, radio frequency identification (RFID) technology, wireless sensor networks, participatory sensing technology. Embedded Platforms for IoT: Embedded computing basics, Overview of IOT supported Hardware platforms such as Arduino, Raspberry pi, Beagle Bone, Intel Galileo .
IoT Access Technologies: Physical and MAC layers, topology and Security of IEEE 802.15.4, 802.15.4g, 802.15.4e, 1901.2a, 802.11ah and LoRaWAN – Network Layer: IP versions, Constrained Nodes and Constrained Networks, Zigbee – Optimizing IP for IoT: From 6LoWPAN to 6Lo, Routing over Low Power and Lossy Networks – Application Transport Methods: Supervisory Control and Data Acquisition – Application Layer Protocols: CoAP and MQTT .
Understanding the risks, Modes of attack - Denial of Service Guessing the credentials , Getting access to stored credentials, Man in the middle , Sniffing network communication , Port scanning and web crawling ,Search features and wildcards ,Breaking ciphers , Tools for achieving security - Virtual Private Networks , X.509 certificates and encryption , Authentication of identities , Usernames and passwords , Using message brokers and provisioning servers ,Centralization versus decentralization .
Home Automation- Smart Appliances , Smoke/ Gas Detection, Cities – Smart Parking ,Smart Lighting , Smart Road , Health and Lifestyle- Health and fitness monitoring, Retail- Smart Payments. Case Studies: Smart city streetlights:- control and monitoring
Raj Kamal “Internet of Things”, McGraw-Hill, 1st Edition, 2016
Olivier Hersent,David Boswarthick, Omar Elloumi “The Internet of Things key applications and protocols”, Wiley
Peter Waher, “Learning Internet of Things”, Packt publishing
Arshdeep Bahga, Vijay Madisetti, “Internet of Things ( A hands on approach)” University Press (India)
Francis daCosta, “Rethinking the Internet of Things: A Scalable Approach to Connecting Everything”, 1 st Edition, Apress Publications, 2013
.6. Cuno Pfister, Getting Started with the Internet of Things, O‟Reilly Media, 2011, ISBN: 978-1- 4493-9357-1
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
After studying this course, students will be able to
Understand the conversion of renewable energy system into electrical power.
Design & enhance the performance of fossil fuel based power plant.
Analyze the nuclear power plant and its safety.
Design & enhance the performance of hydro based power plant.
Determine economics of the power plant of renewable and non renewable / nuclear power system
Introduction to methods of converting various energy sources to electric power, direct conversion methods renewable energy sources, solar, wind, tidal, geothermal, bio-thermal, biogas and hybrid energy systems, fuel cells, thermoelectric modules, MHD-Converter
Basic principles of sitting and station design, effect of climatic factors on station and equipment design, choice of steam cycle and main equipment, recent trends in turbine and boiler sizes and steam conditions, plant design and layout, outdoor and indoor plant, system components, fuel handling, burning systems, element of feed water treatment plant, condensing plant and circulating water systems, cooling towers, turbine room and auxiliary plant equipment., instrumentation, testing and plant heat balance.
Importance of nuclear power development in the world and Indian context, Review of atomic structure and radio activity, binding energy concept, fission and fusion reaction, fissionable and fertile materials, thermal neutron fission, important nuclear fuels, moderators and coolants, their relative merits, thermal and fast breeder reactors, principles of reactor control, safety and reliability features.
Elements of Hydrological computations, rainfall run off, flow and power duration curves, mass curves, storage capacity, salient features of various types of hydro stations, component such as dams, spillways, intake systems, head works, pressure tunnels, penstocks, reservoir, balancing reservoirs, Micro and pico hydro machines, selection of hydraulic turbines for power stations, selection of site.
Estimation and prediction of load. Maximum demand, load factor, diversity factor, plant factor and their influence on plant design, operation and economics; comparison of hydro and nuclear power plants typical cost structures, simple problems on cost analysis, economic performance and tariffs, interconnected system and their advantages, elements of load dispatch in interconnected systems.
Nag PK; Power plant Engg; TMH
Al-Wakil MM; Power plant Technology; TMH
Sharma PC; Power plant Engg; Kataria and sons, Delhi
Domkundwar; Power Plant Engg; Dhanpatrai & sons.
Rajput RK; A text book of Power plant Engg.; Laxmi Publications.
Evaluation will be continuous an integral part of the class as well through external assessment.
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
Course Objective
Understand the design concepts of belt, rope and chain drives.
Able to design different types of gears.
Able to design I.C. Engine components, different types of couplings and power screw
Inspect miscellaneous components such as flanged coupling, rigid coupling, and pressure vessels.
Course Contents:
Unit- I: Design of Belt, Rope and Chain Drives: Methods of power transmission, designof flat beltdrive and V-belt drive ; Design of chain drives, roller chain and its selection; Design of rope drives.
Unit- II: Spur and Helical Gears: Force analysis of gear tooth, AGMA Bending stress equation and AGMA Contact stress equation, modes of failure, beam strength, Lewisequation, form factor, formative gear and virtual number of teeth; Gear materials; Surface strength and wear of teeth; strength against wear; Design of straight tooth spur and Helical Gears.
Unit- III: Bevel Gears: Application of bevel, formative gear and virtual number of teeth; Force analysis; Lewisequation for bevel gears; Strength against wear; Design of bevel gear.
Unit- IV: Design of I.C. Engine Components: General design considerations in I C engines; design ofcylinder; design of piston and piston-rings; design of connecting rod; design of crankshaft.
Unit -V: Design of Miscellaneous Components: Design of Knuckle joint, Design of Cotter joint, Design of keys, Design of Flanged coupling; Rigid coupling and Flexible coupling ,Design of Pressure vessels subjected to internal pressure, Design of power screw.
References:
Shigley J.E.; Machine Design; TMH
Bhandari VB; Design of Machine Elments; TMH
Abdul Mubeen; Machine Design; Khanna Publishers
Sharma & Agrawal; Machine Design; Katson
Sharma CS and Purohit K; Design of Machine Elements; PHI Learning.
Dwivedi and Pandey; Machine Drawing and Design, Dhanpat Rai & Co.
Wentzell TH; Machine Design; Cegage Learning
Hall and Somani; Machine Design; Schaum Series; TMH
Kulkarni SG; Machine Design; TMH
Norton R; Design Of Machinery; TMH
Note: PSG Design data book and/ or Mahadevan and Reddy’s Mechanical design data book are to be provided/ permitted in exam hall (duly verified by authority)
Evaluation: Evaluation will be continuous an integral part of the class as well through external assessment
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
Course Objective:
The student will be made .
To be familiar with all the OR Techniques and optimization methods.
To understand the role of logistics in the supply chain within a focal firm as well as between organisations linked within a given supply chain network. and ,
To be familiar with various inventory control techniques.
To clear idea of the decision making and meta-heuristic algorithm.
Course Content:
Unit 1 Linear system and distribution models: Mathematical formulation of linear systems by LP, solution of LP for two variables, Simplex method, special cases of LP- transportation and assignment model and their graphical solution, Vogels Approximation Method (VAM) or penalty method, cell evaluation degeneracy, basics of SW Lindo, Tora, Excell.
Unit II Supply chain (SCM): Definition, importance, expenditure and opportunities in SCM; integrationof inbound, outbound logistics and manufacturing to SCM, flow of material money and information,difficulties in SCM due to local v/s system wide (global) optimization and uncertainties in demand andtransportation; Bull-whip effect; customer value; IT, info-sharing and strategic partnerships; plant andwarehouse-network configuration; supply contracts and revenue sharing; outsourcing; transportation,cross docking and distribution, forecasting models in SCM; coordination and leadership issues; changeof purchasing role and vendor rating, variability from multiple suppliers.
Unit III Inventory models: Necessity of inventory in process and safety stock, problem of excess inventory and cycle time, JIT/ Lean Mfg; basics of inventory models with deterministic demand, Classical EOQ Model, ABC, VED and other analysis based on shelf life, movement, size, MRP technique and calculations, lot sizing in MRP, linking MRP with JIT; evolution of MRP to ERP to SCM and e-business.
Unit IV (a) Waiting Line Models: Introduction, Input process, service mechanism, Queue discipline,
single server (M/M/1), average length and average time calculations, optimum service rate; basic multipleserver models (M/M/s)
(b) Competitive strategy: concept and terminology, assumptions, pure and mixed strategies, two- person zero sumgames, saddle point, dominance, graphical, algebraic and LP methods for solving game theory
problems.
Unit V: (a) Network Analysis: Project Planning, Scheduling and Controlling; Project management; Network Techniques and its role in project management, Network logics, Fulkerson's Law, Merits and Demerits of AON Diagrams; Programme Evaluation and Review Technique (PERT), Critical Path Method (CPM), Determination of critical path, Float/Slack.
(b) Meta-heuristics: Definition of heuristic and meta-heuristic algorithms; introduction to Tabu search,Simulated Annealing and Genetic algorithms and solution of traveling salesman, non linearoptimization problems.
References:
Hillier FS and Liberman GJ; Introduction to Operations Research concept and cases; TMH
Simchi-Levi, Keminsky; Designing and managing the supply chain; TMH.
Heera and Gupta,Operation Research, S Chand Pub.
Sharma JK; Operations Research; Macmillan
Taha H; Operations research; PHI
Jain, pandey & shrivastava; Quantitative techniques for management, New Age publishers.
Srinivasan G; Quantitative Models In Operations and SCM; PHI Learning
Mohanty RP and deshmukh SG; Supply Chain Management; Wiley India
Sen RP; Operations Research-Algorithms and Applications; PHI Learning
Bowersox DJ, Closs DJ, Cooper MB; Supply Chain LogistiMgt; TMH
Bronson R ;Theory and problems of OR; Schaum Series; TMH
Kantiswaroop,Operation Research, Sultan Chand
Course Out Comes:
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment.
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
learn about importance of AI techniques. Adoption of Artificial Intelligence (AI) technologies is widely expanding in our society. Applications of AI include: self-driving cars, personal assistants, surveillance systems, robotic manufacturing, machine translation, financial services, cyber security, web search, video games, code analysis and product recommendations.
Know the exact application of AI Techniques. Such applications use AI techniques to interpret information from a wide variety of sources and use it to enable intelligent, goal-directed behavior.
understand the working of Modern AI based systems. It often involves self-learning systems that are trained on massive amounts of data, and/or interacting intelligent agents that perform distributed reasoning and computation.
Know about sensors used in AI based systems.AI connects sensors with algorithms and human- computer interfaces, and extends itself into large networks of smart devices.
know the opportunities after having knowledge of AI techniques. The knowledge of Artificial Intelligence opens career opportunities in companies that are building the next generation of intelligence and language understanding for their products: for example intelligent personal assistants, opinion mining systems, customer support system, biomedical applications, computer games, smart adaptive devices, robots, smart planning systems.
Main components and characteristics of AI (Feature Engineering,ANN,Deep Learning),Applications of AI, Advantages and disadvantages of AI, Goals of AI, Comparision of Programming of a System with AI and without AI,Challenges in AI, Programming languges preferably used in AI,Techniques/Algorithms used in AI,AI Software plaforms,Future of AI
Rich E and Knight K, “Artificial Intelligence”, TMH, New Delhi.
Nelsson N.J., “Principles of Artificial Intelligence”, Springer Verlag, Berlin.
Stuart Russell , Artificial Intelligence: A Modern Approach , 3rd Edition), Peter Norvig, PHI, ISBN- 13: 978-0136042594, ISBN-10: 0136042597
B. Yegnanarayana , Artificial Neural Networks ,PHI 5.Schalkoff, Artificial Neural Networks . Mc Graw HILL Education
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
This course in systems engineering examines the principles and process of creating effective systems to meet application demands.
The course is organized as a progression through the systems engineering processes of analysis, design, implementation, and deployment with consideration of verification and validation throughout.
COURSE OUTCOME: After successful completion of the course, students would be able to
Plan and manage the systems engineering process
Examine systems from many perspectives (such as software, hardware, product, etc.)
Distinguish critical functions, diagnose problems, and apply descoping strategies and judge the complexity of production and deployment issues.
Know about the complexity in modern systems such as in missiles, rocket engines, modern automobiles etc.
Solve real complex problems
Introduction, Origin, Examples of Systems requiring systems engineering,Systems Engineer Career Development Model, Perspectives of Systems Engineering, Systems Domains, Systems Engineering Fields, System Engineering Approaches.
System Building Blocks and Interfaces, Hierarchy of Complex Systems, System Building Blocks, The System Environment, Interfaces and Interactions, Complexity in Modern Systems.
Originating a New System, Operational Analysis, Functional Analysis, Feasibility, System Operational Requirements, Implementation of Concept Exploration.Exploration in system life cycle, Concept definition phase, Activities involved in concept definition phase.
Reducing Program Risks, Requirements Analysis, Functional Analysis and Design, Prototype Development as a Risk Mitigation Technique, Development Testing, Risk Reduction. Place of engineering design phase in system life cycle, Various activities involved in engineering design phase.
Integrating, Testing, And Evaluating The Total System, Test Planning And Preparation, System Integration, Developmental System Testing, Operational Test And Evaluation, Engineering For Production, Transition From Development To Production, Production Operations.operation and support phase.
Alexander Kossiakoff, William N Sweet, “System Engineering Principles and Practice, Wiley India 2.Blanchard Fabrycky, Systems engineering and analysis, Pearson
Dwivedi Krishna K, Pandey M., Fundamentals of Systems Engineering , Wiley Precise Text book Series, Wiley India. ISBN: 978-265-6654-9
Dennis M. Buede, William D.Miller, “The Engineering Design of Systems: Models & Methods” Wiley India
JeffreyL Whitten, Lonnie D Bentley, “System Analysis and Design Methods” 6.Richard Stevens, Peter Brook,” System Engineering – Coping with complexity, Prentice Hall of India.
Eisner, H. Essentials of Projects and Systems Engineering Management, 2nd edition. John Wiley & Sons, New Jersey, USA.
Buede, D. M.. The Engineering Design of Systems, Models and Methods. John Wiley & Sons, New Jersey, USA.
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
Course Objectives:
To introduce the basic concepts of reliability, various models of reliability.
To analyze reliability of various systems.
To introduce techniques of frequency and duration for reliability evaluation of repairable systems.
Definition, Importance, History, Reliabilty Vs. Quality,Failure pattern of complex product, Factor of safety and reliability, Reliability analysis procedure, Reliability management , Some examples of system failures., Reliability function-MTTF, Hazard rate function, Bathtubcurve
Set theory, Laws of probability, Probability theorem Random variables and probability distributions, Bay’s Theorem, Central limit theorem,
Single , two and several random variables, Probability distribution functions, density functions for different types of discrete and continuous variables, mean, mode and median, Numerical solutions, Extremal distributions, derivation of the reliability function-constant failure rate model – time dependent failure models. Weibull distribution – normal distribution – the lognormal distribution.
Fatigue strength, Time dependent reliability of components, Failure rate versus time, reliability and hazard functions and different distributions, Estimation of failure rate, Expected residual life, Series, parallel and mixed systems, complex systems, Reliability enhancement,
Optimization problems, Failure modes and effect analysis, Event tree and fault tree analysis, Reliability testing, Reliability data and analysis, measurement of reliability, Monte Carlo Simulation, Computation of reliability, Optimization techniques for system reliability with redundancy – heuristic methods applied to optimal system reliability- redundancy allocation by dynamic programming – reliability optimization by non linear programming.
Singiresu S. Rao, Reliability Engineering, Pearson
Grant E. L. & Leave Worth, Statistical Q. C., T.M.H.
Balagurusamy, Reliability Engg., T.M.H.
Mahajan , Statistical Q.C.
Juran and Grayan, Quality Planning Analysis, T.M.H
Charles E. Ebling, “An introduction to Reliability and Maintainability Engg”, Tata McGraw-Hill, 2000
Atrick D T o’connor, “Practical Reliability Engineringt”, John-Wiley and Sons inc, 2002
David J Smith, “Reliability, Maintainability and Risk: Practical Methods for Engineers”, Butterworth, 2002.
Srinath I.S, Engineering Design and Reliability, ISTE, 1999.
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
The purpose of this laboratory is to provide the complete practical exposure of Computer aided design software tools such as Solid works,CATIA,Unigraphics etc., Computer assisted manufacturing processes such as CNC Turning, CNC Milling, CNC Drilling etc as well Computer integrated manufacturing (i.e. demonstrating remotely over the internet the operations of actual CIM cell established in the dept of Institute /industry) to the students so that they will become industry ready just after completing their graduation.
Suggested list Experiments; (Pl expand it)
2D and 3D modeling on CAD software
Use of CAM software for writing CNC programs
Study of automatic and semi automatic control system and writing the electrical analogy.
Production & layout for GT for group of jobs to be manufactured
A case study / tutorial using CAPP Software
Writing M & G codes for given operations.
Robot and AGV programming
Modelling and simulation of computer integrated manufacturing system’
Modelling,offline manual part programming and simulation of the operation of 3 axis CNC milling machine
Programming and operation of a 5 axis robot Manipulator
Remote monitoring and operation of Computer integrated manufacturing system
To write the part program for any component (stepped cylindrical rod ) . Assuming the work piece is Aluminum and the speed is 1200 rpm, feed 20 mm/min and maximum depth of cut is 1 mm.
Evaluation:
With Canned cycle
Without Canned cycle.
Evaluation will be continuous and integral part of the class as well as through external assessment (Viva/voce)
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
The purpose of this laboratory is to provide the knowledge of latest research tools/techniques such as MATLAB and R Programming which is being used in finding out the solution of most of the engineering problems. MATLAB is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
Following are the suggested list of experiments related to MATLAB (Pl expand)
Introduction to MATLAB
Working with matrices
Rational and logical operation of MATLAB
Creating a plot using Plot function
Complex and stastical functions (e,g.: Produce ten elements vector of random complex numbers and find the summation of this vector)
Numbers and strings (1.Write a program in M-File to read 3 x 3 Matrix, then display the diagonal of matrix as shown below: The Diagonal of This Matrix = [ ]
Write a program to read a string, then replace each character in the string with its following character in ASCII code*.)
R Programming is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
In this lab, students are supposed to learn how to program in R and how to use R for effective data analysis. Students need to learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.
The lab should cover practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.
Following are the suggested tutorials to be covered:
What is R Programming Language?
How to Download & Install R, RStudio, Anaconda on Mac or Windows
Weite R Data Types, Arithmetic & Logical Operators with Example
Write about R Matrix : Create, Print, add Column, Slice
Explain Factor in R: Categorical & Continuous Variables
Explain about R Data Frame: Create, Append, Select, Subset.
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment (Viva/voce)
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
To provide students with a comprehensive experience for applying the knowledge gained so far by studying various courses.
To develop an inquiring aptitude and build confidence among students by working on solutions of small industrial problems.
To give students an opportunity to do some thing creative and to assimilate real life work situation in institution.
To adapt students for latest development and to handle independently new situations.
To develop good expressions power and presentation abilities in students. The focus of the Major Project I is on preparing a working system or some design or understanding of a complex system using system analysis tools and submit it the same in the form of a write up
i.e. detail project report.
The student should select some real life problems for their project and maintain proper documentation of different stages of project such as need analysis market analysis, concept evaluation, requirement specification, objectives, work plan, analysis, design, implementation and test plan. Each student is required to prepare a project report and present the same at the final examination with a demonstration of the working system (if any)
The faculty and students should work according to following schedule:
Each student undertakes substantial and individual project in an approved area of the subject and supervised by a faculty of the department. In special case, if project is huge, then maximum 03 students may be permitted to work together as a team to do the same. The student must submit outline and action plan for the project execution (time schedule) and the same be approved by the concerned faculty and Head of department.
Project guide should motivate students to develop some Innovative working models in the area of Advanced Automotives, Aero modelling, Renewable Energy based systems, Mechatronics,Robotic systems, Advanced Manufacturing Technology based systems etc. which can contribute to the society.
Evaluation:
There will be both external and internal evaluation of project carried out by each student.
=======New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
After studying this course, students will be able to
Know about the basic concept of heat transfer and its modes.
Solve problems based on conduction, convection, and radiation.
Differentiate the modes of heat transfer i.e. conduction, convection, and radiation
Understand the working principle and types of heat exchangers.
Understand the concept of boiling and condensation, mass transfer.
Sukhatme SP; Heat and mass transfer; University Press Hyderabad
Holman JP; Heat transfer; TMH
Nag PK; heat and Mass Transfer; TMH
Domkudwar,Heat and Mass Transfer,Dhanpt Rai & Co.
Sachdeva R.C., Fundamentals of Engineering Heat and Mass Transfer, New Age Science
Dutta BK; Heat Transfer Principles And App; PHI Learning
Mills AF and Ganesan V; Heat transfer; Pearson
Cengel Yunus A; Heat and Mass transfer;TMH
Yadav R; Heat and Mass Transfer; Central India pub-Allahabad
Incropera FP and Dewitt DP; Heat and Mass transfer; Wiley
Conduction through a rod to determine thermal conductivity of material
Forced and free convection over circular cylinder
Free convection from extended surfaces
Parallel flow and counter flow heat exchanger effectiveness and heat transfer rate
Calibration of thermocouple
Experimental determination of Stefen-Boltzman constant
Evaluation
Evaluation will be continuous an integral part of the class as well through external assessment.
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
Understand the fundamentals and technologies used in different advance machining processes.
Apply the characteristics and applications of the product obtained using advanced manufacturing processes.
Compare different advance machining processes.
Mikell P. Groover, Fundamentals of Modern Manufacturing, Wiley India, ISBN 978 81 265 2301 6
Pandey P.C, Shan H.S., Modern Machining Processes, Tata McGraw Hill,ISBN 0 07 096518 8
Lal G.K,Gupta V, Reddy N.V., Narosa Publishing House,ISBN 81 7319 709 1
CMTI Handbook
Jain V.K. Introduction to Micro Machining Process Narosa Publication
Jain V.K. ,Micromanufacturing Processes , Crc Press.
Evaluation will be continuous an integral part of the class as well through external assessment.
New Scheme Based On AICTE Flexible Curricula
The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. The Internet of Things (IoT) is a course about the new paradigm of objects interacting with people, with information systems, and with other objects. The course will focus on creative thinking and on hands-on project development.
After learning the course, the student will be able:
Understand the vision of IoT from a global context.
Understand the application of IoT.
Determine the Market perspective of IoT.
Use of Devices, Gateways and Data Management in IoT.
Building state of the art architecture in IoT.
Application of IoT in Industrial and Commercial Building Automation and Real World Design Constraints.
Vision, Definition, Conceptual Framework, Architectural view, technology behind IoT, Sources of the IoT, M2M Communication, IoT Examples . Design Principles for Connected Devices: IoT/M2M systems layers and design standardization, communication technologies, data enrichment and consolidation, ease of designing and affordability .
Sensors, digital sensors, actuators, radio frequency identification (RFID) technology, wireless sensor networks, participatory sensing technology. Embedded Platforms for IoT: Embedded computing basics, Overview of IOT supported Hardware platforms such as Arduino, Raspberry pi, Beagle Bone, Intel Galileo .
IoT Access Technologies: Physical and MAC layers, topology and Security of IEEE 802.15.4, 802.15.4g, 802.15.4e, 1901.2a, 802.11ah and LoRaWAN – Network Layer: IP versions, Constrained Nodes and Constrained Networks, Zigbee – Optimizing IP for IoT: From 6LoWPAN to 6Lo, Routing over Low Power and Lossy Networks – Application Transport Methods: Supervisory Control and Data Acquisition – Application Layer Protocols: CoAP and MQTT .
Understanding the risks, Modes of attack - Denial of Service Guessing the credentials , Getting access to stored credentials, Man in the middle , Sniffing network communication , Port scanning and web crawling ,Search features and wildcards ,Breaking ciphers , Tools for achieving security - Virtual Private Networks , X.509 certificates and encryption , Authentication of identities , Usernames and passwords , Using message brokers and provisioning servers ,Centralization versus decentralization .
Home Automation- Smart Appliances , Smoke/ Gas Detection, Cities – Smart Parking ,Smart Lighting , Smart Road , Health and Lifestyle- Health and fitness monitoring, Retail- Smart Payments. Case Studies: Smart city streetlights:- control and monitoring
Raj Kamal “Internet of Things”, McGraw-Hill, 1st Edition, 2016
Olivier Hersent,David Boswarthick, Omar Elloumi “The Internet of Things key applications and protocols”, Wiley
Peter Waher, “Learning Internet of Things”, Packt publishing
Arshdeep Bahga, Vijay Madisetti, “Internet of Things ( A hands on approach)” University Press (India)
Francis daCosta, “Rethinking the Internet of Things: A Scalable Approach to Connecting Everything”, 1 st Edition, Apress Publications, 2013
.6. Cuno Pfister, Getting Started with the Internet of Things, O‟Reilly Media, 2011, ISBN: 978-1- 4493-9357-1
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
After studying this course, students will be able to
Understand the conversion of renewable energy system into electrical power.
Design & enhance the performance of fossil fuel based power plant.
Analyze the nuclear power plant and its safety.
Design & enhance the performance of hydro based power plant.
Determine economics of the power plant of renewable and non renewable / nuclear power system
Introduction to methods of converting various energy sources to electric power, direct conversion methods renewable energy sources, solar, wind, tidal, geothermal, bio-thermal, biogas and hybrid energy systems, fuel cells, thermoelectric modules, MHD-Converter
Basic principles of sitting and station design, effect of climatic factors on station and equipment design, choice of steam cycle and main equipment, recent trends in turbine and boiler sizes and steam conditions, plant design and layout, outdoor and indoor plant, system components, fuel handling, burning systems, element of feed water treatment plant, condensing plant and circulating water systems, cooling towers, turbine room and auxiliary plant equipment., instrumentation, testing and plant heat balance.
Importance of nuclear power development in the world and Indian context, Review of atomic structure and radio activity, binding energy concept, fission and fusion reaction, fissionable and fertile materials, thermal neutron fission, important nuclear fuels, moderators and coolants, their relative merits, thermal and fast breeder reactors, principles of reactor control, safety and reliability features.
Elements of Hydrological computations, rainfall run off, flow and power duration curves, mass curves, storage capacity, salient features of various types of hydro stations, component such as dams, spillways, intake systems, head works, pressure tunnels, penstocks, reservoir, balancing reservoirs, Micro and pico hydro machines, selection of hydraulic turbines for power stations, selection of site.
Estimation and prediction of load. Maximum demand, load factor, diversity factor, plant factor and their influence on plant design, operation and economics; comparison of hydro and nuclear power plants typical cost structures, simple problems on cost analysis, economic performance and tariffs, interconnected system and their advantages, elements of load dispatch in interconnected systems.
Nag PK; Power plant Engg; TMH
Al-Wakil MM; Power plant Technology; TMH
Sharma PC; Power plant Engg; Kataria and sons, Delhi
Domkundwar; Power Plant Engg; Dhanpatrai & sons.
Rajput RK; A text book of Power plant Engg.; Laxmi Publications.
Evaluation will be continuous an integral part of the class as well through external assessment.
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
Course Objective
Understand the design concepts of belt, rope and chain drives.
Able to design different types of gears.
Able to design I.C. Engine components, different types of couplings and power screw
Inspect miscellaneous components such as flanged coupling, rigid coupling, and pressure vessels.
Course Contents:
Unit- I: Design of Belt, Rope and Chain Drives: Methods of power transmission, designof flat beltdrive and V-belt drive ; Design of chain drives, roller chain and its selection; Design of rope drives.
Unit- II: Spur and Helical Gears: Force analysis of gear tooth, AGMA Bending stress equation and AGMA Contact stress equation, modes of failure, beam strength, Lewisequation, form factor, formative gear and virtual number of teeth; Gear materials; Surface strength and wear of teeth; strength against wear; Design of straight tooth spur and Helical Gears.
Unit- III: Bevel Gears: Application of bevel, formative gear and virtual number of teeth; Force analysis; Lewisequation for bevel gears; Strength against wear; Design of bevel gear.
Unit- IV: Design of I.C. Engine Components: General design considerations in I C engines; design ofcylinder; design of piston and piston-rings; design of connecting rod; design of crankshaft.
Unit -V: Design of Miscellaneous Components: Design of Knuckle joint, Design of Cotter joint, Design of keys, Design of Flanged coupling; Rigid coupling and Flexible coupling ,Design of Pressure vessels subjected to internal pressure, Design of power screw.
References:
Shigley J.E.; Machine Design; TMH
Bhandari VB; Design of Machine Elments; TMH
Abdul Mubeen; Machine Design; Khanna Publishers
Sharma & Agrawal; Machine Design; Katson
Sharma CS and Purohit K; Design of Machine Elements; PHI Learning.
Dwivedi and Pandey; Machine Drawing and Design, Dhanpat Rai & Co.
Wentzell TH; Machine Design; Cegage Learning
Hall and Somani; Machine Design; Schaum Series; TMH
Kulkarni SG; Machine Design; TMH
Norton R; Design Of Machinery; TMH
Note: PSG Design data book and/ or Mahadevan and Reddy’s Mechanical design data book are to be provided/ permitted in exam hall (duly verified by authority)
Evaluation: Evaluation will be continuous an integral part of the class as well through external assessment
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
Course Objective:
The student will be made .
To be familiar with all the OR Techniques and optimization methods.
To understand the role of logistics in the supply chain within a focal firm as well as between organisations linked within a given supply chain network. and ,
To be familiar with various inventory control techniques.
To clear idea of the decision making and meta-heuristic algorithm.
Course Content:
Unit 1 Linear system and distribution models: Mathematical formulation of linear systems by LP, solution of LP for two variables, Simplex method, special cases of LP- transportation and assignment model and their graphical solution, Vogels Approximation Method (VAM) or penalty method, cell evaluation degeneracy, basics of SW Lindo, Tora, Excell.
Unit II Supply chain (SCM): Definition, importance, expenditure and opportunities in SCM; integrationof inbound, outbound logistics and manufacturing to SCM, flow of material money and information,difficulties in SCM due to local v/s system wide (global) optimization and uncertainties in demand andtransportation; Bull-whip effect; customer value; IT, info-sharing and strategic partnerships; plant andwarehouse-network configuration; supply contracts and revenue sharing; outsourcing; transportation,cross docking and distribution, forecasting models in SCM; coordination and leadership issues; changeof purchasing role and vendor rating, variability from multiple suppliers.
Unit III Inventory models: Necessity of inventory in process and safety stock, problem of excess inventory and cycle time, JIT/ Lean Mfg; basics of inventory models with deterministic demand, Classical EOQ Model, ABC, VED and other analysis based on shelf life, movement, size, MRP technique and calculations, lot sizing in MRP, linking MRP with JIT; evolution of MRP to ERP to SCM and e-business.
Unit IV (a) Waiting Line Models: Introduction, Input process, service mechanism, Queue discipline,
single server (M/M/1), average length and average time calculations, optimum service rate; basic multipleserver models (M/M/s)
(b) Competitive strategy: concept and terminology, assumptions, pure and mixed strategies, two- person zero sumgames, saddle point, dominance, graphical, algebraic and LP methods for solving game theory
problems.
Unit V: (a) Network Analysis: Project Planning, Scheduling and Controlling; Project management; Network Techniques and its role in project management, Network logics, Fulkerson's Law, Merits and Demerits of AON Diagrams; Programme Evaluation and Review Technique (PERT), Critical Path Method (CPM), Determination of critical path, Float/Slack.
(b) Meta-heuristics: Definition of heuristic and meta-heuristic algorithms; introduction to Tabu search,Simulated Annealing and Genetic algorithms and solution of traveling salesman, non linearoptimization problems.
References:
Hillier FS and Liberman GJ; Introduction to Operations Research concept and cases; TMH
Simchi-Levi, Keminsky; Designing and managing the supply chain; TMH.
Heera and Gupta,Operation Research, S Chand Pub.
Sharma JK; Operations Research; Macmillan
Taha H; Operations research; PHI
Jain, pandey & shrivastava; Quantitative techniques for management, New Age publishers.
Srinivasan G; Quantitative Models In Operations and SCM; PHI Learning
Mohanty RP and deshmukh SG; Supply Chain Management; Wiley India
Sen RP; Operations Research-Algorithms and Applications; PHI Learning
Bowersox DJ, Closs DJ, Cooper MB; Supply Chain LogistiMgt; TMH
Bronson R ;Theory and problems of OR; Schaum Series; TMH
Kantiswaroop,Operation Research, Sultan Chand
Course Out Comes:
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment.
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
learn about importance of AI techniques. Adoption of Artificial Intelligence (AI) technologies is widely expanding in our society. Applications of AI include: self-driving cars, personal assistants, surveillance systems, robotic manufacturing, machine translation, financial services, cyber security, web search, video games, code analysis and product recommendations.
Know the exact application of AI Techniques. Such applications use AI techniques to interpret information from a wide variety of sources and use it to enable intelligent, goal-directed behavior.
understand the working of Modern AI based systems. It often involves self-learning systems that are trained on massive amounts of data, and/or interacting intelligent agents that perform distributed reasoning and computation.
Know about sensors used in AI based systems.AI connects sensors with algorithms and human- computer interfaces, and extends itself into large networks of smart devices.
know the opportunities after having knowledge of AI techniques. The knowledge of Artificial Intelligence opens career opportunities in companies that are building the next generation of intelligence and language understanding for their products: for example intelligent personal assistants, opinion mining systems, customer support system, biomedical applications, computer games, smart adaptive devices, robots, smart planning systems.
Main components and characteristics of AI (Feature Engineering,ANN,Deep Learning),Applications of AI, Advantages and disadvantages of AI, Goals of AI, Comparision of Programming of a System with AI and without AI,Challenges in AI, Programming languges preferably used in AI,Techniques/Algorithms used in AI,AI Software plaforms,Future of AI
Rich E and Knight K, “Artificial Intelligence”, TMH, New Delhi.
Nelsson N.J., “Principles of Artificial Intelligence”, Springer Verlag, Berlin.
Stuart Russell , Artificial Intelligence: A Modern Approach , 3rd Edition), Peter Norvig, PHI, ISBN- 13: 978-0136042594, ISBN-10: 0136042597
B. Yegnanarayana , Artificial Neural Networks ,PHI 5.Schalkoff, Artificial Neural Networks . Mc Graw HILL Education
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
This course in systems engineering examines the principles and process of creating effective systems to meet application demands.
The course is organized as a progression through the systems engineering processes of analysis, design, implementation, and deployment with consideration of verification and validation throughout.
COURSE OUTCOME: After successful completion of the course, students would be able to
Plan and manage the systems engineering process
Examine systems from many perspectives (such as software, hardware, product, etc.)
Distinguish critical functions, diagnose problems, and apply descoping strategies and judge the complexity of production and deployment issues.
Know about the complexity in modern systems such as in missiles, rocket engines, modern automobiles etc.
Solve real complex problems
Introduction, Origin, Examples of Systems requiring systems engineering,Systems Engineer Career Development Model, Perspectives of Systems Engineering, Systems Domains, Systems Engineering Fields, System Engineering Approaches.
System Building Blocks and Interfaces, Hierarchy of Complex Systems, System Building Blocks, The System Environment, Interfaces and Interactions, Complexity in Modern Systems.
Originating a New System, Operational Analysis, Functional Analysis, Feasibility, System Operational Requirements, Implementation of Concept Exploration.Exploration in system life cycle, Concept definition phase, Activities involved in concept definition phase.
Reducing Program Risks, Requirements Analysis, Functional Analysis and Design, Prototype Development as a Risk Mitigation Technique, Development Testing, Risk Reduction. Place of engineering design phase in system life cycle, Various activities involved in engineering design phase.
Integrating, Testing, And Evaluating The Total System, Test Planning And Preparation, System Integration, Developmental System Testing, Operational Test And Evaluation, Engineering For Production, Transition From Development To Production, Production Operations.operation and support phase.
Alexander Kossiakoff, William N Sweet, “System Engineering Principles and Practice, Wiley India 2.Blanchard Fabrycky, Systems engineering and analysis, Pearson
Dwivedi Krishna K, Pandey M., Fundamentals of Systems Engineering , Wiley Precise Text book Series, Wiley India. ISBN: 978-265-6654-9
Dennis M. Buede, William D.Miller, “The Engineering Design of Systems: Models & Methods” Wiley India
JeffreyL Whitten, Lonnie D Bentley, “System Analysis and Design Methods” 6.Richard Stevens, Peter Brook,” System Engineering – Coping with complexity, Prentice Hall of India.
Eisner, H. Essentials of Projects and Systems Engineering Management, 2nd edition. John Wiley & Sons, New Jersey, USA.
Buede, D. M.. The Engineering Design of Systems, Models and Methods. John Wiley & Sons, New Jersey, USA.
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
Course Objectives:
To introduce the basic concepts of reliability, various models of reliability.
To analyze reliability of various systems.
To introduce techniques of frequency and duration for reliability evaluation of repairable systems.
Definition, Importance, History, Reliabilty Vs. Quality,Failure pattern of complex product, Factor of safety and reliability, Reliability analysis procedure, Reliability management , Some examples of system failures., Reliability function-MTTF, Hazard rate function, Bathtubcurve
Set theory, Laws of probability, Probability theorem Random variables and probability distributions, Bay’s Theorem, Central limit theorem,
Single , two and several random variables, Probability distribution functions, density functions for different types of discrete and continuous variables, mean, mode and median, Numerical solutions, Extremal distributions, derivation of the reliability function-constant failure rate model – time dependent failure models. Weibull distribution – normal distribution – the lognormal distribution.
Fatigue strength, Time dependent reliability of components, Failure rate versus time, reliability and hazard functions and different distributions, Estimation of failure rate, Expected residual life, Series, parallel and mixed systems, complex systems, Reliability enhancement,
Optimization problems, Failure modes and effect analysis, Event tree and fault tree analysis, Reliability testing, Reliability data and analysis, measurement of reliability, Monte Carlo Simulation, Computation of reliability, Optimization techniques for system reliability with redundancy – heuristic methods applied to optimal system reliability- redundancy allocation by dynamic programming – reliability optimization by non linear programming.
Singiresu S. Rao, Reliability Engineering, Pearson
Grant E. L. & Leave Worth, Statistical Q. C., T.M.H.
Balagurusamy, Reliability Engg., T.M.H.
Mahajan , Statistical Q.C.
Juran and Grayan, Quality Planning Analysis, T.M.H
Charles E. Ebling, “An introduction to Reliability and Maintainability Engg”, Tata McGraw-Hill, 2000
Atrick D T o’connor, “Practical Reliability Engineringt”, John-Wiley and Sons inc, 2002
David J Smith, “Reliability, Maintainability and Risk: Practical Methods for Engineers”, Butterworth, 2002.
Srinath I.S, Engineering Design and Reliability, ISTE, 1999.
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
The purpose of this laboratory is to provide the complete practical exposure of Computer aided design software tools such as Solid works,CATIA,Unigraphics etc., Computer assisted manufacturing processes such as CNC Turning, CNC Milling, CNC Drilling etc as well Computer integrated manufacturing (i.e. demonstrating remotely over the internet the operations of actual CIM cell established in the dept of Institute /industry) to the students so that they will become industry ready just after completing their graduation.
Suggested list Experiments; (Pl expand it)
2D and 3D modeling on CAD software
Use of CAM software for writing CNC programs
Study of automatic and semi automatic control system and writing the electrical analogy.
Production & layout for GT for group of jobs to be manufactured
A case study / tutorial using CAPP Software
Writing M & G codes for given operations.
Robot and AGV programming
Modelling and simulation of computer integrated manufacturing system’
Modelling,offline manual part programming and simulation of the operation of 3 axis CNC milling machine
Programming and operation of a 5 axis robot Manipulator
Remote monitoring and operation of Computer integrated manufacturing system
To write the part program for any component (stepped cylindrical rod ) . Assuming the work piece is Aluminum and the speed is 1200 rpm, feed 20 mm/min and maximum depth of cut is 1 mm.
Evaluation:
With Canned cycle
Without Canned cycle.
Evaluation will be continuous and integral part of the class as well as through external assessment (Viva/voce)
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
The purpose of this laboratory is to provide the knowledge of latest research tools/techniques such as MATLAB and R Programming which is being used in finding out the solution of most of the engineering problems. MATLAB is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
Following are the suggested list of experiments related to MATLAB (Pl expand)
Introduction to MATLAB
Working with matrices
Rational and logical operation of MATLAB
Creating a plot using Plot function
Complex and stastical functions (e,g.: Produce ten elements vector of random complex numbers and find the summation of this vector)
Numbers and strings (1.Write a program in M-File to read 3 x 3 Matrix, then display the diagonal of matrix as shown below: The Diagonal of This Matrix = [ ]
Write a program to read a string, then replace each character in the string with its following character in ASCII code*.)
R Programming is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
In this lab, students are supposed to learn how to program in R and how to use R for effective data analysis. Students need to learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.
The lab should cover practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.
Following are the suggested tutorials to be covered:
What is R Programming Language?
How to Download & Install R, RStudio, Anaconda on Mac or Windows
Weite R Data Types, Arithmetic & Logical Operators with Example
Write about R Matrix : Create, Print, add Column, Slice
Explain Factor in R: Categorical & Continuous Variables
Explain about R Data Frame: Create, Append, Select, Subset.
Evaluation:
Evaluation will be continuous and integral part of the class as well as through external assessment (Viva/voce)
New Scheme Based On AICTE Flexible Curricula Mechanical Engineering, VII-Semester
To provide students with a comprehensive experience for applying the knowledge gained so far by studying various courses.
To develop an inquiring aptitude and build confidence among students by working on solutions of small industrial problems.
To give students an opportunity to do some thing creative and to assimilate real life work situation in institution.
To adapt students for latest development and to handle independently new situations.
To develop good expressions power and presentation abilities in students. The focus of the Major Project I is on preparing a working system or some design or understanding of a complex system using system analysis tools and submit it the same in the form of a write up
i.e. detail project report.
The student should select some real life problems for their project and maintain proper documentation of different stages of project such as need analysis market analysis, concept evaluation, requirement specification, objectives, work plan, analysis, design, implementation and test plan. Each student is required to prepare a project report and present the same at the final examination with a demonstration of the working system (if any)
The faculty and students should work according to following schedule:
Each student undertakes substantial and individual project in an approved area of the subject and supervised by a faculty of the department. In special case, if project is huge, then maximum 03 students may be permitted to work together as a team to do the same. The student must submit outline and action plan for the project execution (time schedule) and the same be approved by the concerned faculty and Head of department.
Project guide should motivate students to develop some Innovative working models in the area of Advanced Automotives, Aero modelling, Renewable Energy based systems, Mechatronics,Robotic systems, Advanced Manufacturing Technology based systems etc. which can contribute to the society.
Evaluation:
There will be both external and internal evaluation of project carried out by each student.
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