Taguchi method and genetic algorithm neural networks analysis of forging process of bicycle chain wheel

Dyi Cheng Chen, Ci Syong You

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

Abstract

Recent years due to the rise of awareness of environmental protection and energy conservation are attention. Which is the most representative of the bike. Many processing factors must be controlled in the bicycle chain wheel. This study employed the rigid-plastic finite element (FE) DEFORMTM 3D software to investigate the plastic deformation behavior of an aluminum alloy workpiece as it is forged for bicycle chain wheels. Factors include the temperature of the forging billet, shear friction factor, temperature of die and punch speed control all parameters. Moreover, this study used the Taguchi method and Genetic algorithm neural networks to determine the most favorable optimization parameters. Finally, our results confirmed the suitability of the proposed design, which enabled a bicycle chain wheel die to achieve perfect forging during finite element testing.

Original languageEnglish
Title of host publicationInnovation for Applied Science and Technology
Pages220-224
Number of pages5
DOIs
Publication statusPublished - 2013 Feb 20
Event2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012 - Kaohsiung, Taiwan
Duration: 2012 Nov 22012 Nov 6

Publication series

NameApplied Mechanics and Materials
Volume284-287
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Other

Other2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012
CountryTaiwan
CityKaohsiung
Period12-11-0212-11-06

Fingerprint

Taguchi methods
Bicycles
Electric network analysis
Forging
Wheels
Genetic algorithms
Neural networks
Speed control
Environmental protection
Aluminum alloys
Plastic deformation
Energy conservation
Friction
Plastics
Temperature
Testing
Processing

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Chen, D. C., & You, C. S. (2013). Taguchi method and genetic algorithm neural networks analysis of forging process of bicycle chain wheel. In Innovation for Applied Science and Technology (pp. 220-224). (Applied Mechanics and Materials; Vol. 284-287). https://doi.org/10.4028/www.scientific.net/AMM.284-287.220
Chen, Dyi Cheng ; You, Ci Syong. / Taguchi method and genetic algorithm neural networks analysis of forging process of bicycle chain wheel. Innovation for Applied Science and Technology. 2013. pp. 220-224 (Applied Mechanics and Materials).
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Chen, DC & You, CS 2013, Taguchi method and genetic algorithm neural networks analysis of forging process of bicycle chain wheel. in Innovation for Applied Science and Technology. Applied Mechanics and Materials, vol. 284-287, pp. 220-224, 2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012, Kaohsiung, Taiwan, 12-11-02. https://doi.org/10.4028/www.scientific.net/AMM.284-287.220

Taguchi method and genetic algorithm neural networks analysis of forging process of bicycle chain wheel. / Chen, Dyi Cheng; You, Ci Syong.

Innovation for Applied Science and Technology. 2013. p. 220-224 (Applied Mechanics and Materials; Vol. 284-287).

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

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Chen DC, You CS. Taguchi method and genetic algorithm neural networks analysis of forging process of bicycle chain wheel. In Innovation for Applied Science and Technology. 2013. p. 220-224. (Applied Mechanics and Materials). https://doi.org/10.4028/www.scientific.net/AMM.284-287.220