Transactions of Nonferrous Metals Society of China The Chinese Journal of Nonferrous Metals

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中国有色金属学报

ZHONGGUO YOUSEJINSHU XUEBAO

第24卷    第5期    总第182期    2014年5月

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文章编号:1004-0609(2014)05-1127-06
6111铝合金固溶工艺多目标优化
傅 垒,王宝雨,马闻宇

(北京科技大学 机械工程学院,北京 100083)

摘 要: 利用电子拉伸试验机和维氏硬度计测试不同固溶处理后6111铝合金板的抗拉强度、伸长率和维氏硬度,以固溶温度和固溶时间为自变量,采用响应面模型对抗拉强度、伸长率和维氏硬度进行拟合,并对其进行单目标优化。结果表明:固溶处理工艺参数分别为(540.8 ℃, 31.8 min)、(496.6 ℃, 1.0 min)、(540.6 ℃, 32.0 min)时,抗拉强度、伸长率和维氏硬度达到最大,分别为299.12 MPa、24.95%和106.62;应用第二代非支配排序遗传算法,对多个响应面模型进行优化求解,得到多目标优化模型的Pareto解集,从中可选择使铝合金板综合力性能较好的解,进而获得对应的固溶工艺参数。

 

关键字: 6111铝合金;固溶处理;响应面法;第2代非支配排序遗传算法;多目标优化

Multi-objective optimization of solution process of 6111 aluminum alloy
FU Lei, WANG Bao-yu, MA Wen-yu

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

Abstract:The tensile strength, elongation and Vickers hardness of 6111 aluminum alloy samples after different solution treatment were measured by using the electronic tensile testing machine and the Vickers hardness tester. The data of tensile strength, elongation and Vickers hardness were fitted by response surface methodology, using solution temperature and solution time as independent variables. The optimization results of single-objective show that the tensile strength, elongation and Vickers hardness reach the maximum, when the solution treatment process parameters are (540.8 ℃, 31.8 min), (496.6 ℃, 1.0 min) and (540.6 ℃, 32.0 min), respectively, and the values of the tensile strength, elongation and Vickers hardness are 299.12 MPa, 24.95% and 106.62. Optimization of response surface models are solved by non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ), and the Pareto solutions of multi-objective model are obtained, within which the solutions of better performance of aluminum alloy can be selected, and the corresponding solution process parameters are gained simultaneously.

 

Key words: 6111 aluminum alloy; solution treatment; response surface methodology; non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ); multi-objective optimization

ISSN 1004-0609
CN 43-1238/TG
CODEN: ZYJXFK

ISSN 1003-6326
CN 43-1239/TG
CODEN: TNMCEW

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