Multi Objective Optimization of Forging Process of Arc Aluminum Alloy Forgings Based on Response Surface Methodology

DOI

10.2991/emim-17.2017.340How to use a DOI?

Keywords

Large-Scale Arc-Shaped forging; Multi-Objective optimization strategy; Response surface method; Process parameters

Abstract

In order to obtain optimized forging forming process parameters, multi-objective optimization strategy of process parameters based on response surface method (RSM) was put forward. Taking strain uniformity and forming force of large-scale arc-shaped forging as the evaluation index, the analysis model of combining finite element numerical simulation with response surface method was set up. The degree of fitting of the regression model was up to 87.58% . The optimum combination of process parameters is the flash height of 5.682 mm, forging speed of 7.25mm/s and friction coefficient of 0.21. Using the optimized process parameters can make grain uniformity improved greatly, and the forging deformation force is effectively reduced.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lidan Fan
AU  - Shuming Peng
PY  - 2017/04
DA  - 2017/04
TI  - Multi Objective Optimization of Forging Process of Arc Aluminum Alloy Forgings Based on Response Surface Methodology
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1675
EP  - 1678
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.340
DO  - 10.2991/emim-17.2017.340
ID  - Fan2017/04
ER  -