Intelligent Manufacturing Systems Syllabus for Design For Manufacturing/ Design and Manufacturing M.Tech first year first sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Intelligent Manufacturing Systems M.Tech 2017-2018 (R17) first year first sem is as follows.
M.Tech. I Year I Sem.
UNIT – I: Computer Integrated Manufacturing Systems Structure and functional areas of CIM system – CAD, CAPP, CAM, CAQC, ASRS.Advantages of CIM. Manufacturing Communication Systems – MAP/TOP, OSI Model, Data Redundancy, Top- down and Bottom-up Approach, Volume of Information. Intelligent Manufacturing System Components, System Architecture and Data Flow, System Operation.
UNIT – II: Components of Knowledge Based Systems – Basic Components of Knowledge Based Systems, Knowledge Representation, Comparison of Knowledge Representation Schemes, Interference Engine, Knowledge Acquisition.
UNIT – III: Machine Learning – Concept of Artificial Intelligence, Conceptual Learning, Artificial Neural Networks – Biological Neuron, Artificial Neuron, Types of Neural Networks, Applications in Manufacturing.
UNIT – IV: Automated Process Planning – Variant Approach, Generative Approach, Expert Systems for Process Planning, Feature Recognition, Phases of Process planning. Knowledge Based System for Equipment Selection (KBSES) – Manufacturing system design. Equipment Selection Problem, Modeling the Manufacturing Equipment Selection Problem, Problem Solving approach in KBSES, Structure of the KRSES.
UNIT- V: Group Technology: Models and Algorithms Visual Method, Coding Method, Cluster Analysis Method, Matrix Formation – Similarity Coefficient Method, Sorting-based Algorithms, Bond Energy Algorithm, Cost Based method, Cluster Identification Method, Extended CI Method. Knowledge Based Group Technology – Group Technology in Automated Manufacturing System. Structure of Knowledge based system for group technology (KBST) — Data Base, Knowledge Base, Clustering Algorithm.
REFERENCES:
- Intelligent Manufacturing Systems/ Andrew Kusiak/Prentice Hall.
- Artificial Neural Networks/ Yagna Narayana/PHI/2006
- Automation, Production Systems and CIM / Groover M.P./PHI/2007
- Neural networks: A comprehensive foundation/ Simon Haykin/ PHI.
- Artificial neural networks/ B. Vegnanarayana/PHI
- Neural networks in Computer intelligence/ Li Min Fu/ TMH/2003
- Neural networks/ James A Freeman David M S kapura/ Pearson education/2004
- Introduction to Artificial Neural Systems/Jacek M. Zurada/JAICO Publishing House Ed. 2006.
For all other M.Tech 1st Year 1st Sem syllabus go to JNTUH M.Tech Design For Manufacturing/ Design and Manufacturing 1st Year 1st Sem Course Structure for (R17) Batch.
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