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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010
Pages561-566
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Externally publishedYes
EventASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010 - Erie, PA, United States
Duration: 2010 Oct 122010 Oct 15

Publication series

NameASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010
Volume1

Other

OtherASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010
CountryUnited States
CityErie, PA
Period10/10/1210/10/15

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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