基于灰色关联分析与回归分析WC-12Co涂层工艺参数的多目标优化

doi:10.11896/j.issn.1005-023X.2018.10.034

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Abstract High quality WC-12Co coatings were prepared by APS on Q235 steel. The microhardness, thickness and bonding strength of WC-12Co coatings were evaluated comprehensively. The Box-Behnken experiment was designed via three factors, including spraying current, argon volume flow and spray distance. AHP was used to determine the weight of evaluation index.Grey relational analysis and regression analysis were used to optimize the process. Results showed the weight matrix of evaluating indicators obtained by AHP was W_j=[0.44,0.17,0.39] that the optimal parameters obtained by the method of grey relation analysis were argon volume flow of 2 500 L/h, current of 350 A, and spraying distance of 130 mm. The optimal parameters obtained by the method of regression analysis were argon volume flow of 2 500 L/h, current of 349.08 A, and spraying distance of 129.18 mm. The optimization results of the two methods were basically the same, which can be applied to the multi-objective optimization of process parameters.

Key words： WC-12Co coating multi-objective optimization AHP grey relational analysis regression analysis

Published: 06 July 2018

CLC number:

TG174.442

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	LIANG Cunguang
	LI Xinmei

Cite this article:

LIANG Cunguang,LI Xinmei. Multi-objective Optimization of WC-12Co Coatings Based on Grey Relational Analysis and Regression Analysis[J]. Materials Reports, 2018, 32(10): 1752-1756.

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http://www.mater-rep.com/EN/10.11896/j.issn.1005-023X.2018.10.034 OR http://www.mater-rep.com/EN/Y2018/V32/I10/1752

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