Optimization of process parameters for preparing the hydrophobic surface of aluminum alloy by laser-assisted electrochemical composite etching based on response surface method

被引:0
作者
Zhang, Zengbo [1 ]
Zhang, Haiyun [1 ,2 ]
Zhang, Jinjian [1 ]
Miao, Xu [1 ]
Fu, Yandi [1 ]
Meng, Jianbing [1 ,2 ]
Zhao, Yugang [1 ,2 ]
Gao, Yuewu [1 ,2 ]
机构
[1] Shandong Univ Technol, Sch Mech Engn, Zibo, Peoples R China
[2] Shandong Prov Key Lab Precis Mfg & Nontradit Machi, Zibo, Peoples R China
基金
中国国家自然科学基金;
关键词
Laser-assisted electrochemical composite etching; 2024 aluminum alloy; response surface method; parameters optimization; hydrophobicity; SUPERHYDROPHOBIC SURFACES; CONTACT ANGLES; FABRICATION; WETTABILITY; TRANSITION; RESISTANCE; SUBSTRATE; SILICA; ZNO;
D O I
10.1080/01694243.2023.2256560
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
To explore the influence of electrolyte concentration, single pulse energy, current density and scan times on the hydrophobic properties of laser-assisted electrochemical composite etching 2024 aluminum alloy surface, the experimental platform of laser-assisted electrochemical composite etching is built. Based on the results of the single-factor experiments, the response surface method (RSM) is chosen to optimize the process parameters. The optimum combination of process parameters is obtained, and the accuracy of the regression equation is verified by experiments. Through residual analysis, the established regression model fits well. By analysis of variance (ANOVA), the sequence of influence of the factors on apparent contact angle (from large to small) is single pulse energy, scan times, electrolyte concentration, and current density. With the maximum apparent contact angle as the goal, the combination of process parameters adjusted after optimization is: electrolyte concentration 2.0 mol/L, single pulse energy 20 & mu;J, current density 18 mA, and scan times 15. Under these conditions, the experimental values of apparent contact angle is 157 & DEG;, which is close to the predicted value (158 & DEG;) by the models. The relative errors is 0.6%. It indicates that the regression model is accurate and reliable. This study shows that RSM is an effective method to optimize the process parameters and obtain the ideal experimental results.
引用
收藏
页码:1438 / 1455
页数:18
相关论文
共 50 条
  • [1] Aluminum Alloy Super-Hydrophobic Surface Fabrication via Electrochemical Etching Method
    Wang, Peng
    Qiu, Ri
    Zhang, Dun
    Lin, Zhifeng
    ADVANCED SCIENCE LETTERS, 2011, 4 (03) : 1240 - 1243
  • [2] Excimer laser-assisted chemical process for formation of hydrophobic surface of Si (001)
    Liu, Neng
    Hassen, Walid M.
    Dubowski, Jan J.
    APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2014, 117 (01): : 37 - 41
  • [3] Effects of process parameters on additive manufacturing of aluminum porous materials and their optimization using response surface method
    Shim, Do-sik
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2021, 15 : 119 - 134
  • [4] Optimization of magnetic composite fluid polishing process based on response surface method
    Jian, Yin
    Ri, Pan
    Fan, Jinwei
    Wang, Zhenzhong
    Zhang, Dongxu
    Ji, Shuting
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2022, 45 (01) : 35 - 41
  • [5] Experimental Investigation and Optimization on the Process Parameters during Induction Pressure Welding for Steel and Aluminum Alloy Using Response Surface Method
    Gao, Kai
    Liu, Guiqi
    Gu, Hongli
    Li, Kun
    Zhu, Liubo
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2022, 31 (08) : 6572 - 6583
  • [6] Prediction and optimization of process parameters of electrospun polyacrylonitrile based on numerical simulation and response surface method
    Chen, Peng
    Zhou, Qihong
    Chen, Ge
    Zhang, Qian
    Wang, Shaozong
    TEXTILE RESEARCH JOURNAL, 2021, 91 (19-20) : 2332 - 2344
  • [7] Experimental Investigation and Optimization on the Process Parameters during Induction Pressure Welding for Steel and Aluminum Alloy Using Response Surface Method
    Kai Gao
    Guiqi Liu
    Hongli Gu
    Kun Li
    Liubo Zhu
    Journal of Materials Engineering and Performance, 2022, 31 : 6572 - 6583
  • [8] Optimization of forming process parameters for transmission belt based on response surface method
    Xu, Min
    Li, Bing
    2017 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS), 2017, : 232 - 235
  • [9] Optimization of the countersinking parameters based on the response surface method
    Hassen Mosbah
    Slimen Attyaoui
    Rachid Nasri
    The International Journal of Advanced Manufacturing Technology, 2021, 117 : 501 - 510
  • [10] Optimization of the countersinking parameters based on the response surface method
    Mosbah, Hassen
    Attyaoui, Slimen
    Nasri, Rachid
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 117 (1-2) : 501 - 510