Multi-objective optimization of process parameters in cold forging minimizing risk of crack and forging energy-Reference-Cited by-同舟云学术

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Multi-objective optimization of process parameters in cold forging minimizing risk of crack and forging energy

Published:2021-08 Issue:3 Volume:21 Page:
ISSN:1644-9665
Container-title:Archives of Civil and Mechanical Engineering
language:en
Short-container-title:Archiv.Civ.Mech.Eng

Author:

Kitayama Satoshi,Kadoya Shimon,Takano Masahiro,Kobayashi Akio

Funder

Ministry of Economy, Trade and Industry in Japan.

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s43452-021-00289-1.pdf

Reference24 articles.

1. Kohar CP, Zhumagulov A, Brahme A, Worswick MJ, Mishara RK, Inal K. Development of high crush efficient, extrudable aluminium front rails for vehicle lightweighting. Int J Impact Eng. 2016;95:17–34.

2. Zhou J, Lin L, Luo Y. The multi-objective optimization design of a new closed extrusion forging technology for a steering knuckle with long rod and fork. Int J Adv Manuf Technol. 2014;72:1219–25.

3. Alimirzaloo V, Biglari FR, Sadeghi MH, Keshtiban PM, Sehat HR. A novel method for preform die design in forging process of an airfoil blade based on Lagrange interpolation and meta-heuristic algorithm. Int J Adv Manuf Technol. 2019;102:4031–45.

4. Zhao G, Wright E, Grandhi RV. Preform die shape design in metal forming using an optimization method. Int J Numer Methods Eng. 1997;40:1213–30.

5. Vieilledent D, Fourment L. Shape optimization of axisymmetric preform tools in forging using a direct differentiation method. Int J Numer Methods Eng. 2001;52:1301–21.

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