TY - GEN
T1 - Taguchi method and genetic algorithm neural networks analysis of forging process of bicycle chain wheel
AU - Chen, Dyi Cheng
AU - You, Ci Syong
PY - 2013/2/20
Y1 - 2013/2/20
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84873925523&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873925523&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.284-287.220
DO - 10.4028/www.scientific.net/AMM.284-287.220
M3 - Conference contribution
AN - SCOPUS:84873925523
SN - 9783037856123
T3 - Applied Mechanics and Materials
SP - 220
EP - 224
BT - Innovation for Applied Science and Technology
T2 - 2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012
Y2 - 2 November 2012 through 6 November 2012
ER -