Effect of solution and aging processes on the mechanical properties of 6016 aluminum alloy and multi-objective optimization

MA Yan-wei; WANG Bao-yu; XIAO Wen-chao; ZHOU Jing; KANG Yi

doi:10.13374/j.issn2095-9389.2017.01.010

Volume 39 Issue 1

Jan. 2017

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Article Navigation > Chinese Journal of Engineering > 2017 > 39(1): 75-80

MA Yan-wei, WANG Bao-yu, XIAO Wen-chao, ZHOU Jing, KANG Yi. Effect of solution and aging processes on the mechanical properties of 6016 aluminum alloy and multi-objective optimization[J]. Chinese Journal of Engineering, 2017, 39(1): 75-80. doi: 10.13374/j.issn2095-9389.2017.01.010

Citation:

MA Yan-wei, WANG Bao-yu, XIAO Wen-chao, ZHOU Jing, KANG Yi. Effect of solution and aging processes on the mechanical properties of 6016 aluminum alloy and multi-objective optimization[J]. Chinese Journal of Engineering, 2017, 39(1): 75-80. doi: 10.13374/j.issn2095-9389.2017.01.010

Citation:

MA Yan-wei, WANG Bao-yu, XIAO Wen-chao, ZHOU Jing, KANG Yi. Effect of solution and aging processes on the mechanical properties of 6016 aluminum alloy and multi-objective optimization[J]. Chinese Journal of Engineering, 2017, 39(1): 75-80. doi: 10.13374/j.issn2095-9389.2017.01.010

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Effect of solution and aging processes on the mechanical properties of 6016 aluminum alloy and multi-objective optimization

doi: 10.13374/j.issn2095-9389.2017.01.010

School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2016-09-29

Abstract

Abstract

As a part of heat treatment processes, solution treatment and aging treatment have a great influence on the mechanical properties of 6016 aluminum alloy. In this article, solution temperature, solution time, aging temperature and aging time were taken as parameters to design a heat treatment scheme by central composite design (CCD). At room temperature, the yield strength, elongation, and Vickers hardness of specimens were measured by mechanical testing. The second-generation non-dominated sorting genetic algorithm (NSGA-Ⅱ) solves the shortcomings of the first-generation algorithm, such as the difficulty in parameter selection and low efficiency. In this study, the response surface model derived was used as the objective function to perform the multi-objective optimization by means of NSGA-Ⅱ. After calculation, the Pareto solutions were obtained to filtrate out the solution with comprehensive performance, and then, to acquire the corresponding parameters of the solution and aging process.
- aluminum alloys,
- solution and aging,
- mechanical properties,
- multi-objective optimization

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References(14)

References

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