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

24 February 2017 adminNonfiction 12

By Rahulkumar Shivajirao Hingole (auth.)

This complete ebook bargains a transparent account of the speculation and functions of complex steel forming. It presents a close dialogue of particular forming procedures, resembling deep drawing, rolling, bending extrusion and stamping. the writer highlights fresh advancements of steel forming applied sciences and explains sound, new and strong professional procedure concepts for fixing complicated engineering difficulties in steel forming. moreover, the fundamentals of specialist structures, their significance and functions to steel forming procedures, computer-aided research of metalworking approaches, formability research, mathematical modeling and case reports of person methods are presented.

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Additional info for Advances in Metal Forming: Expert System for Metal Forming

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S. Lib, A Web-based flood forecasting system for Shuangpai region. Adv. Eng. Softw. 37, 146–158 (2006) 26 2 Enhancement in Expert System 33. M. Tisza, A CAD: CAM system for deep drawing processes. Int. J. Adv. Tech. Plast. 1, 145–152 (1987) 34. S. L. Kimzel, T. Altam, Process sequence design for multi-stage forming of axisymmetric sheet-metal parts, ERC for net shape manufacturing. Report no. ERC:NSM-S89-4, Ohio State University, Columbus, OH (1989) 35. S. Sitaraman, G. Kinzel, T. Altan, A knowledge-based system for process-sequence design in axisymmetric sheet-metal forming.

T. Y. Foong, Some aspects of a knowledge-based approach for automating progressive die design. Comput. Ind. 24(1), 81–96 (1994) 38. M. Tisza, A CAD system for deep-drawing, in 2nd International Conference on Technology of Plasticity, Stuttgart, M. vol. I, pp. 145–152 (1987) 39. M. Tisza, P. Romvfiri, P. Rficz, A complete CAD/CAM package for metal forming. in 26th Machine Tool Design and Research Conference Manchester, pp. 33–38 (1986) 40. M. Tisza, A knowledge based expert system for wire-drawing processes.

Yaob, I. Postlethwaite, Knowledge-elicitation and data-mining: fusing human and industrial plant information. Int. J. Eng. Appl. Artif. Intell. 59. S. Suh, A. J. Lee, Evaluation of ordering strategies for constraint satisfaction reactive scheduling. Decis. Support Syst. 22, 187–197 (1998) 60. A. S. Shivathayab, Design of an expert system for the optimization of steel compositions and process route. Int. J. Expert Syst. Appl. 17, 129–134 (1999) 61. J. Larkiola, P. S. Korhonen, The role of neural networks in the optimisation of rolling processes.

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