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

Shouichirou 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
Volume1
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

Other

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

Fingerprint

Fuzzy inference
Learning algorithms
Deep drawing
Magnesium alloys
Temperature

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

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

Research output: Chapter in Book/Report/Conference proceedingConference 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. in ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010. vol. 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. In ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010. Vol. 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. Vol. 1 2010. pp. 561-566
@inproceedings{695ec041b35e445bbe1844116d8fcdaf,
title = "Development of fuzzy inference system with learning algorithm for determining press-forming conditions",
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.",
author = "Shouichirou Yoshihara and A. Takahashi and M. Saito and MacDonald, {B. J.} and K. Manabe",
year = "2010",
month = "12",
day = "1",
doi = "10.1115/MSEC2010-34020",
language = "English",
isbn = "9780791849460",
volume = "1",
pages = "561--566",
booktitle = "ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010",

}

TY - GEN

T1 - Development of fuzzy inference system with learning algorithm for determining press-forming conditions

AU - Yoshihara, Shouichirou

AU - Takahashi, A.

AU - Saito, M.

AU - MacDonald, B. J.

AU - Manabe, K.

PY - 2010/12/1

Y1 - 2010/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=82455186768&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=82455186768&partnerID=8YFLogxK

U2 - 10.1115/MSEC2010-34020

DO - 10.1115/MSEC2010-34020

M3 - Conference contribution

AN - SCOPUS:82455186768

SN - 9780791849460

VL - 1

SP - 561

EP - 566

BT - ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010

ER -