| Title | Syllabus | Reference |
|---|---|---|
| Intelligent Product Design and Manufacturing | Intelligent Manufacturing Systems – Architecture, Basic building blocks, Techniques for Knowledge modeling and representation, rule based and fuzzy systems Artificial Neural Networks – The Perceptron model, network architectures, Pattern recognition and classification, Learning methodologies, Back propagation algorithm, Design of neural networks Genetic Algorithms – Basics, Encoding, crossover and mutation strategies, case studies Product–Process Design – Network modeling techniques, Analysis and decomposition of Process / System models, Assembly planning, Tolerance synthesis and optimization, Intelligent Manufacturing Planning – Process Planning, Operation Sequence and Path planning with constraints, Case studies in CAPP, Robot navigation, routing, configuration design etc. Intelligent online Process monitoring and control | Mehrotra K, Mohan C, K, and Ranka S – Elements of Artificial Neural
Networks, The MIT Press, 2000. Kusiak A. - Engineering Design – Products, Processes and Systems, Academic Press, 1999. Chang T. C., Wysk, R. A. and Wang H. P. – Computer Aided Manufacturing, Prentice Hall International, 1998. Shah J and Mantyala M – Parametric and Feature based CAD/CAM , John Wiley and Sons, 1995. P. Gu and D. H. Norrie - Intelligent Manufacturing Planning, Chapman and Hall, London , 1995. Goldberg D – Genetic Algorithms in Search, Optimization and Machine learning, Pearson Education, 1989. |