Rahulkumar Shivajirao Hingole (auth.)'s Advances in Metal Forming: Expert System for Metal Forming PDF

By Rahulkumar Shivajirao Hingole (auth.)

ISBN-10: 3662444968

ISBN-13: 9783662444962

ISBN-10: 3662444976

ISBN-13: 9783662444979

This finished booklet deals a transparent account of the speculation and functions of complex steel forming. It offers a close dialogue of particular forming techniques, reminiscent of deep drawing, rolling, bending extrusion and stamping. the writer highlights contemporary advancements of steel forming applied sciences and explains sound, new and strong professional procedure concepts for fixing complex engineering difficulties in steel forming. furthermore, the fundamentals of specialist platforms, their value and purposes to steel forming approaches, computer-aided research of metalworking techniques, formability research, mathematical modeling and case experiences of person procedures are presented.

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Yong, Fuzzy control algorithm for the prediction of tension variations in hot rolling. Int. J. Mater. Process. Technol. 163 ± 172 (1999) 69. N. Akgerman, T. Altan, Recent developments in computer aided design of forging processes. SME Technical Paper, MF72-110 (1972) 70. R. Maus, J. Keyes, Handbook of Expert Systems in Manufacturing (McGraw-Hill, New York, 1991) 71. M. T. Illingworth, A Practical Guide to Neural Nets (Addison-Wesley, Reading, MA, 1990) 72. Hong-Seok Kim, Yong-Taek Im, Expert system for multi-stage cold-forging process design with a re-designing algorithm.

V. The knowledge base to represent the facts, rules and events. The database, which contains information about the current problem. The inference engine, which draws conclusions from the knowledge base. A system interface in order to pass conclusions to the system. The explanation component, which informs the user on how conclusions are obtained. vi. The workspace, which is an area or memory for storing the problem description. Fig. 1 Architecture for knowledge based expert system 34 3 Fundamentals of Expert System KBS are designed to be modular in that the knowledge base is separated from the inference engine and algorithms so that new situations can be accommodated.

H. J. Feng, Sensitive factors in springback simulation for sheet metal forming. Int. J. Mater. Process. Technol. 151, 217–222 (2004) Chapter 3 Fundamentals of Expert System Abstract Expert systems (ES) emerged as a branch of artificial intelligence (AI), from the effort of AI researchers to develop computer programs that could reason as humans. Many organizations have leveraged this technology to increase productivity and profits through better business decisions. ES are one of most commercially successful branches of AI.

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Advances in Metal Forming: Expert System for Metal Forming by Rahulkumar Shivajirao Hingole (auth.)

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