FE simulation of spin forming process based on fuzzy intelligent method

Shoichiro Yoshihara, Pinaki Ray, Bryan MacDonald, Hiroshi Koyama, Masanori Kawahara

Research output: Contribution to conferencePaper

Abstract

In recent years, Finite element (FE) analysis of manufacturing using not only metal forming but also other forming processes has contributed to the improvement of these manufacturing techniques and increased knowledge regarding the deformation mechanisms that occur during forming. An analysis of spin form-ing using FE simulation was performed by authors. Moreover, a fuzzy algorithm to optimize spin forming was developed to decrease the processing time and the number of processing paths. The algorithm was validated as the processing time was shortened by around 15% less than in the case of the process without control. Furthermore, the forming velocity was increased by using the fuzzy control during the process. In this study, the fuzzy intelligent method for expanding the geometry of the blank in spin forming was investigated using the finite element method. It is shown that the flexibility of the fuzzy intelligent method investigated improves several experimental conditions and reduces the duration of the process.

Original languageEnglish
Pages719-724
Number of pages6
DOIs
Publication statusPublished - 2004 Dec 1
Event2004 ASME International Mechanical Engineering Congress and Exposition, IMECE 2004 - Anaheim, CA, United States
Duration: 2004 Nov 132004 Nov 19

Other

Other2004 ASME International Mechanical Engineering Congress and Exposition, IMECE 2004
CountryUnited States
CityAnaheim, CA
Period04/11/1304/11/19

ASJC Scopus subject areas

  • Engineering(all)

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    Yoshihara, S., Ray, P., MacDonald, B., Koyama, H., & Kawahara, M. (2004). FE simulation of spin forming process based on fuzzy intelligent method. 719-724. Paper presented at 2004 ASME International Mechanical Engineering Congress and Exposition, IMECE 2004, Anaheim, CA, United States. https://doi.org/10.1115/IMECE2004-60594