journal article·2024-05-02

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

Zengbo Zhang, Haiyun Zhang, Jinjian Zhang, Xu Miao, Yandi Fu, Jianbing Meng, Yugang Zhao, Yuewu Gao

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Abstract

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 20µJ, current density 18 mA, and scan times 15. Under these conditions, the experimental values of apparent contact angle is 157°, which is close to the predicted value (158°) 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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Surface Modification and Superhydrophobicity · Electrophoretic Deposition in Materials Science · Anodic Oxide Films and Nanostructures

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering, Shandong University of Technology, Zibo, P.R. China

Shandong Provincial Key Laboratory of Precision Manufacturing and Non-traditional Machining, Zibo, P.R. China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Shandong Province

References (43)

Show source-provided references
1. 10.1080/01694243.2019.162067210.1080/01694243.2019.1620672 ↗
2. 10.14158/j.cnki.1001-3814.2019.10.00410.14158/j.cnki.1001-3814.2019.10.004 ↗
3. 10.11896/cldb.2110024310.11896/cldb.21100243 ↗
4. 10.1163/156856108X29534710.1163/156856108X295347 ↗
5. 10.1163/156856108X36995810.1163/156856108X369958 ↗
6. 10.1163/156856108X30515610.1163/156856108X305156 ↗
7. 10.1021/ie50320a02410.1021/ie50320a024 ↗
8. 10.1039/tf944400054610.1039/tf9444000546 ↗
9. 10.11933/j.issn.1007-9289.2019021600110.11933/j.issn.1007-9289.20190216001 ↗
10. 10.1016/j.cocis.2009.05.00410.1016/j.cocis.2009.05.004 ↗
11. 10.1021/la026612+10.1021/la026612+ ↗
12. 10.1163/016942411X57484410.1163/016942411X574844 ↗
13. 10.1021/la034468210.1021/la0344682 ↗
14. 10.1021/la049329e10.1021/la049329e ↗
15. 10.1021/la061796410.1021/la0617964 ↗
16. 10.1016/j.cis.2011.08.00510.1016/j.cis.2011.08.005 ↗
17. 10.1016/j.porgcoat.2019.05.03610.1016/j.porgcoat.2019.05.036 ↗
18. 10.1007/s00339-016-9608-710.1007/s00339-016-9608-7 ↗
19. 10.1007/s11665-021-06530-510.1007/s11665-021-06530-5 ↗
20. 10.1016/j.jcis.2016.12.02210.1016/j.jcis.2016.12.022 ↗
21. 10.1021/am501539b10.1021/am501539b ↗
22. 10.20964/2017.01.1510.20964/2017.01.15 ↗
23. 10.3390/coatings811039010.3390/coatings8110390 ↗
24. Guo J. Study on superhydrophilic/hydrophobic Surface Preparation of aluminum plate by nanosecond laser [MA. Eng dissertation]: Tianjin University of Science & Technology; 2020.
25. 10.1038/lsa.2017.13410.1038/lsa.2017.134 ↗
26. 10.1039/C5SM02153G10.1039/C5SM02153G ↗
27. Bai X, Chen F. Recent advances in femtosecond Laser-Induced superhydrophobic surfaces. Acta Optica Sinica. 2021;41(01):218–231.
28. Xu W. Composite preparation and properties of superhydrophobic microstructured surface of aluminum alloy [MA. Eng dissertation]: Jiangsu University of Technology; 2020.
29. 10.1007/s42461-021-00484-x10.1007/s42461-021-00484-x ↗
30. 10.12044/j.issn.1007-2330.2020.03.00510.12044/j.issn.1007-2330.2020.03.005 ↗
31. 10.1007/s42461-022-00670-510.1007/s42461-022-00670-5 ↗
32. 10.14128/j.cnki.al.20224212.08910.14128/j.cnki.al.20224212.089 ↗
33. 10.1680/jsuin.17.0000210.1680/jsuin.17.00002 ↗
34. 10.1080/01694243.2019.166160910.1080/01694243.2019.1661609 ↗
35. 10.1016/S1003-6326(11)61463-510.1016/S1003-6326(11)61463-5 ↗
36. 10.1080/01694243.2020.181677810.1080/01694243.2020.1816778 ↗
37. 10.1016/j.biortech.2010.06.09410.1016/j.biortech.2010.06.094 ↗
38. 10.3969/j.issn.1001-3539.2018.12.01410.3969/j.issn.1001-3539.2018.12.014 ↗
39. 10.11896/cldb.20190202510.11896/cldb.201902025 ↗
40. 10.1016/j.jmapro.2018.12.03810.1016/j.jmapro.2018.12.038 ↗
41. 10.1016/j.powtec.2019.07.03010.1016/j.powtec.2019.07.030 ↗
42. 10.19476/j.ysxb.1004.0609.2013.02.03210.19476/j.ysxb.1004.0609.2013.02.032 ↗
43. 10.1016/j.wse.2019.09.00410.1016/j.wse.2019.09.004 ↗