Abstract
We propose a knowledge-based system for process planning in cold forging. In our study, we had developed FORTEK-L (FORging Technology of process planning using Expert Knowledge for Layout), which is widely applicable to various shapes and types of equipment. In the next step, we have developed a knowledge-based die configuration design system, FORTEK-D (Die configuration design), which can generate suitable die configurations from layouts obtained from FORTEK-L. In the development of FORTEK-D, we have analyzed and reproduced the expert engineer’s thinking process during die configuration design. Moreover, we have formulated the data representation, inference method, and knowledge-base for use with this system. In accordance with the formulation, we have developed a prototype system. We applied FORTEK-D to actual forged products and obtained appropriate results. The knowledge using the basic principle is widely applicable to various shapes and on a variety of equipment. Therefore, the abilities to maintain and operate the system have been improved.
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References
Bariani, P., Benuzzi, E., Knight, W.A.: Computer aided design of multi-stage cold forging process: Load peaks and strain distribution evaluation. Annals of the CIRP 36(1), 145–148 (1987)
Sevenler, K., Raghupathi, P.S., Altan, T.: Forming-sequence design for multistage cold forging. J. of Mechanical Working Technology 14, 121–135 (1987)
Lange, K., Guohui, D.: A formal approach to designing forming sequences for cold forging. In: Trans. of the NAMRI/SME, pp. 17–22 (1989)
Mahmood, T., Lengyel, B., Husband, T.M.: Expert system for process planning in the cold forging of steel. Expert Planning Systems 322, 141–146 (1990)
Takata, O., Nakanishi, K., Yamazaki, T.: Forming-sequence design expert system for multistage cold forging: Forest-d. In: Proc. of Pacific Rim International Conference on Artificial Intelligence 1990, pp. 101–113 (1990)
Yang, G., Osakada, K.: A review of expert system for process planning of cold forging. Manufacturing Review 6(2), 101–113 (1993)
Kim, H.S., Im, Y.T.: An expert system for cold forging process design based on a depth-first search. J. of Materials Processing Technology 95, 262–274 (1999)
Takata, O., Mure, Y., Nakashima, Y., Ogawa, M., Umeda, M.: Nagasawa: Knowledge-based system for process planning in cold forging using adjustment of stepped cylinder method. In: INAP 2005, pp. 117–126 (2005)
Verson, M.D.: Impact Machining. Verson Allsteel Press Company (1969)
JSTP: Forging Technology (in Japanese). Corona Publishing Co. (1995)
Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)
Umeda, M., Nagasawa, I., Higuchi, T.: The elements of programming style in design calculations. In: Proceedings of the Ninth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, pp. 77–86 (1996)
Katamine, K., Umeda, M., Nagasawa, I., Hashimoto, M.: Integrated development environment for knowledge-based systems and its practical application. IEICE Transactions on Information and Systems E87-D(4), 877–885 (2004)
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Takata, O., Mitani, T., Mure, Y., Umeda, M., Nagasawa, I. (2006). Knowledge-Based System for Die Configuration Design in Cold Forging. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_140
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DOI: https://doi.org/10.1007/11893004_140
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