Preform Optimization for Bevel Gear of Warm Forging Process

被引：2

作者：

Park, Hong-Seok ^{[1
]}

Ayu, Febriani Risky ^{[1
]}

Kumar, Saurabh ^{[1
]}

机构：

[1] Univ Ulsan, Sch Mech Engn, 93 Daehak Ro, Ulsan 44610, South Korea

来源：

51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS | 2018年 / 72卷

关键词：

Preform optimization; Warm Forging; Genetic Algorithm; Bevel Gear;

D O I：

10.1016/j.procir.2018.03.083

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Preform design is an important aspect in consideration of the improvement of quality and reduction of cost in warm forging process. Bevel gear being a key component of drive mechanisms in automotive industry requires lot of attention to its complex shape design optimization. A multi-objective optimization problem in designing preforms of warm forging for bevel gear by using genetic algorithm is solved and presented in this paper. The main objective of this study is to design an optimal preform part, which can get a better quality and the reliable preform shape systematically and theoretically. (C) 2018 The Authors. Published by Elsevier B.V.

引用

页码：340 / 345

页数：6

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