Concurrent design and process optimization of forging

被引：15

作者：

Ozturk, Murat ^{[1
]}

Kocaoglan, Sinem ^{[1
]}

Sonmez, Fazil O. ^{[1
]}

机构：

[1] Bogazici Univ, Dept Mech Engn, TR-34342 Istanbul, Turkey

来源：

COMPUTERS & STRUCTURES | 2016年 / 167卷

关键词：

Concurrent engineering; Metal; Cold forging; Optimization; Global optimum; FEM; METAL-FORMING PROCESSES; DIE SHAPE DESIGN; SENSITIVITY-ANALYSIS; GENETIC ALGORITHMS; PREFORM DESIGN; PROCESS PARAMETERS; NEURAL-NETWORKS; SIMULATION; PRODUCT; UNCERTAINTIES;

D O I：

10.1016/j.compstruc.2016.01.016

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this study, a concurrent design optimization methodology is proposed to minimize the cost of a cold forged part using both product and process design parameters as optimization variables. The objective function combines the material, manufacturing, and post manufacturing costs of the product. The part to be optimized is a simply supported I-beam under a centric load. Various constraints are imposed related to the performance of the product in use and the effectiveness of manufacturing. Nelder-Mead is used as search algorithm and analyses are conducted using commercial finite element software, ANSYS. Results show considerable improvement in the cost. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：24 / 36

页数：13

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