Development of fuzzy inference system with learning algorithm for determining press-forming conditions

Shouichirou Yoshihara, A. Takahashi, M. Saito, B. J. MacDonald, K. Manabe

研究成果: Conference contribution

抄録

A fuzzy inference system with an associated database was developed in order to determine the forming conditions required to obtain the objective height of a drawn cup using magnesium alloy sheet. The results from both experimental and finite element analyses (FEA) have been used for constructing the database which contains information on the forming conditions used and the resultant height of the drawn cup. A case study utilizing circular-cup deep-drawing was used to test the inference system, whereby experimental results for the height of the drawn cup using specific forming conditions (temperature, blank size and blank holding force) agreed with those predicted using the inference system. This confirms the validity of the inference system. Furthermore, a learning method was developed in order to improve the system using further experimental results, the FEA results and a fuzzy algorithm. The experimental analysis showed good agreement between the required objective height and the experimentally measured height of the drawn cup.

元の言語English
ホスト出版物のタイトルASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010
ページ561-566
ページ数6
1
DOI
出版物ステータスPublished - 2010 12 1
外部発表Yes
イベントASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010 - Erie, PA, United States
継続期間: 2010 10 122010 10 15

Other

OtherASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010
United States
Erie, PA
期間10/10/1210/10/15

Fingerprint

Fuzzy inference
Learning algorithms
Deep drawing
Magnesium alloys
Temperature

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

これを引用

Yoshihara, S., Takahashi, A., Saito, M., MacDonald, B. J., & Manabe, K. (2010). Development of fuzzy inference system with learning algorithm for determining press-forming conditions. : ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010 (巻 1, pp. 561-566) https://doi.org/10.1115/MSEC2010-34020

Development of fuzzy inference system with learning algorithm for determining press-forming conditions. / Yoshihara, Shouichirou; Takahashi, A.; Saito, M.; MacDonald, B. J.; Manabe, K.

ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010. 巻 1 2010. p. 561-566.

研究成果: Conference contribution

Yoshihara, S, Takahashi, A, Saito, M, MacDonald, BJ & Manabe, K 2010, Development of fuzzy inference system with learning algorithm for determining press-forming conditions. : ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010. 巻. 1, pp. 561-566, ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010, Erie, PA, United States, 10/10/12. https://doi.org/10.1115/MSEC2010-34020
Yoshihara S, Takahashi A, Saito M, MacDonald BJ, Manabe K. Development of fuzzy inference system with learning algorithm for determining press-forming conditions. : ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010. 巻 1. 2010. p. 561-566 https://doi.org/10.1115/MSEC2010-34020
Yoshihara, Shouichirou ; Takahashi, A. ; Saito, M. ; MacDonald, B. J. ; Manabe, K. / Development of fuzzy inference system with learning algorithm for determining press-forming conditions. ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010. 巻 1 2010. pp. 561-566
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