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《材料导报》期刊社  2018, Vol. 32 Issue (10): 1752-1756    https://doi.org/10.11896/j.issn.1005-023X.2018.10.034
  计算模拟 |
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
梁存光,李新梅
新疆大学机械工程学院,乌鲁木齐 830000
Multi-objective Optimization of WC-12Co Coatings Based on Grey Relational Analysis and Regression Analysis
LIANG Cunguang, LI Xinmei
School of Mechanical Engineering, Xinjiang University, Urumqi 830000
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摘要 以Q235钢为基体,采用等离子喷涂法制备了高质量WC-12Co涂层,对WC-12Co涂层显微硬度、沉积厚度和结合强度进行综合评价。基于主气流量、电流和喷涂距离工艺参数设计了Box-Behnken实验模型,利用层次分析确定评价指标的权重,用灰色关联分析和回归分析对工艺参数进行优化。研究结果表明,层次分析后评价指标的权重矩阵为Wj=[0.44,0.17,0.39]。通过灰色关联分析法得到最优参数为气流量2 500 L/h、电流350 A、喷涂距离130 mm,回归分析得到最优参数为主气流量2 500 L/h、电流349.08 A、喷涂距离129.18 mm。两种方法优化结果基本一致,可以应用于工艺参数的多目标优化。
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梁存光
李新梅
关键词:  WC-12Co涂层  多目标优化  层次分析  灰色关联分析  回归分析    
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 Wj=[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
               出版日期:  2018-05-25      发布日期:  2018-07-06
ZTFLH:  TG174.442  
基金资助: 国家自然科学基金(51561029)
通讯作者:  李新梅:通信作者,女,1971年生,博士,教授,硕士研究生导师,主要从事材料表面改性技术的研究与应用 E-mail:lxmxj2009@126.com   
作者简介:  梁存光:男,1991年生,硕士研究生,研究方向为材料表面改性及处理 E-mail:814723637@qq.com
引用本文:    
梁存光,李新梅. 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[J]. 《材料导报》期刊社, 2018, 32(10): 1752-1756.
LIANG Cunguang, LI Xinmei. Multi-objective Optimization of WC-12Co Coatings Based on Grey Relational Analysis and Regression Analysis. Materials Reports, 2018, 32(10): 1752-1756.
链接本文:  
http://www.mater-rep.com/CN/10.11896/j.issn.1005-023X.2018.10.034  或          http://www.mater-rep.com/CN/Y2018/V32/I10/1752
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