Optimization analysis of A7075 bicycle stem forging process

Dyi Cheng Chen; Jiun Ru Shiu; Jheng Guan Lin

doi:10.4028/www.scientific.net/KEM.554-557.227

Optimization analysis of A7075 bicycle stem forging process

Dyi Cheng Chen, Jiun Ru Shiu, Jheng Guan Lin

Department of Industrial Education and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This research analyzes an innovative forging mold design for the various bicycle stem. The paper used the rigid-plastic finite element analysis software and structural analysis to investigate the plastic deformation behavior of aluminum alloy A7075 workpiece for forging process. Under various forging conditions, it analyses the effective strain, the effective stress, the temperature changing, surface pressure, mold radius load distribution, stress analysis of billet and mold. Moreover the paper used the Taguchi method combine the algorithm method of artificial neural network to find out the best design parameters. The paper hoped to offer some tolerance um precision forging manufacture knowledge for industry.

Original language	English
Title of host publication	The Current State-of-the-Art on Material Forming
Subtitle of host publication	Numerical and Experimental Approaches at Different Length-Scales
Publisher	Trans Tech Publications Ltd
Pages	227-233
Number of pages	7
ISBN (Print)	9783037857199
DOIs	https://doi.org/10.4028/www.scientific.net/KEM.554-557.227
Publication status	Published - 2013
Event	16th ESAFORM Conference on Material Forming, ESAFORM 2013 - Aveiro, Portugal Duration: 2013 Apr 22 → 2013 Apr 24

Publication series

Name	Key Engineering Materials
Volume	554-557
ISSN (Print)	1013-9826
ISSN (Electronic)	1662-9795

Other

Other	16th ESAFORM Conference on Material Forming, ESAFORM 2013
Country	Portugal
City	Aveiro
Period	13-04-22 → 13-04-24

All Science Journal Classification (ASJC) codes

Materials Science(all)
Mechanics of Materials
Mechanical Engineering

Access to Document

10.4028/www.scientific.net/KEM.554-557.227

Fingerprint Dive into the research topics of 'Optimization analysis of A7075 bicycle stem forging process'. Together they form a unique fingerprint.

Cite this

Chen, D. C., Shiu, J. R., & Lin, J. G. (2013). Optimization analysis of A7075 bicycle stem forging process. In The Current State-of-the-Art on Material Forming: Numerical and Experimental Approaches at Different Length-Scales (pp. 227-233). (Key Engineering Materials; Vol. 554-557). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/KEM.554-557.227

@inproceedings{c2bc3392d06b49b2be4c7859a97a8593,

title = "Optimization analysis of A7075 bicycle stem forging process",

abstract = "This research analyzes an innovative forging mold design for the various bicycle stem. The paper used the rigid-plastic finite element analysis software and structural analysis to investigate the plastic deformation behavior of aluminum alloy A7075 workpiece for forging process. Under various forging conditions, it analyses the effective strain, the effective stress, the temperature changing, surface pressure, mold radius load distribution, stress analysis of billet and mold. Moreover the paper used the Taguchi method combine the algorithm method of artificial neural network to find out the best design parameters. The paper hoped to offer some tolerance um precision forging manufacture knowledge for industry.",

author = "Chen, {Dyi Cheng} and Shiu, {Jiun Ru} and Lin, {Jheng Guan}",

year = "2013",

doi = "10.4028/www.scientific.net/KEM.554-557.227",

language = "English",

isbn = "9783037857199",

series = "Key Engineering Materials",

publisher = "Trans Tech Publications Ltd",

pages = "227--233",

booktitle = "The Current State-of-the-Art on Material Forming",

}

Chen, DC, Shiu, JR & Lin, JG 2013, Optimization analysis of A7075 bicycle stem forging process. in The Current State-of-the-Art on Material Forming: Numerical and Experimental Approaches at Different Length-Scales. Key Engineering Materials, vol. 554-557, Trans Tech Publications Ltd, pp. 227-233, 16th ESAFORM Conference on Material Forming, ESAFORM 2013, Aveiro, Portugal, 13-04-22. https://doi.org/10.4028/www.scientific.net/KEM.554-557.227

Optimization analysis of A7075 bicycle stem forging process. / Chen, Dyi Cheng; Shiu, Jiun Ru; Lin, Jheng Guan.

The Current State-of-the-Art on Material Forming: Numerical and Experimental Approaches at Different Length-Scales. Trans Tech Publications Ltd, 2013. p. 227-233 (Key Engineering Materials; Vol. 554-557).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Optimization analysis of A7075 bicycle stem forging process

AU - Chen, Dyi Cheng

AU - Shiu, Jiun Ru

AU - Lin, Jheng Guan

PY - 2013

Y1 - 2013

N2 - This research analyzes an innovative forging mold design for the various bicycle stem. The paper used the rigid-plastic finite element analysis software and structural analysis to investigate the plastic deformation behavior of aluminum alloy A7075 workpiece for forging process. Under various forging conditions, it analyses the effective strain, the effective stress, the temperature changing, surface pressure, mold radius load distribution, stress analysis of billet and mold. Moreover the paper used the Taguchi method combine the algorithm method of artificial neural network to find out the best design parameters. The paper hoped to offer some tolerance um precision forging manufacture knowledge for industry.

AB - This research analyzes an innovative forging mold design for the various bicycle stem. The paper used the rigid-plastic finite element analysis software and structural analysis to investigate the plastic deformation behavior of aluminum alloy A7075 workpiece for forging process. Under various forging conditions, it analyses the effective strain, the effective stress, the temperature changing, surface pressure, mold radius load distribution, stress analysis of billet and mold. Moreover the paper used the Taguchi method combine the algorithm method of artificial neural network to find out the best design parameters. The paper hoped to offer some tolerance um precision forging manufacture knowledge for industry.

UR - http://www.scopus.com/inward/record.url?scp=84880555478&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880555478&partnerID=8YFLogxK

U2 - 10.4028/www.scientific.net/KEM.554-557.227

DO - 10.4028/www.scientific.net/KEM.554-557.227

M3 - Conference contribution

AN - SCOPUS:84880555478

SN - 9783037857199

T3 - Key Engineering Materials

SP - 227

EP - 233

BT - The Current State-of-the-Art on Material Forming

PB - Trans Tech Publications Ltd

T2 - 16th ESAFORM Conference on Material Forming, ESAFORM 2013

Y2 - 22 April 2013 through 24 April 2013

ER -