摘要
为提高激光除漆效率与质量,采用响应面分析法对激光除漆后基体表面粗糙度进行优化研究。通过建立激光除漆工艺参数二次多项式回归模型,验证模型适应性,进一步对比分析最优参数除漆后的基体表面性能。结果表明,激光功率与激光频率对基体表面粗糙度影响显著,扫描速度与扫描次数对表面粗糙度影响较小。当2024铝合金基体的油漆厚度为100μm时,响应曲面分析法得出的最优参数为:激光功率45 W、激光频率400 kHz、激光扫描速度600 mm/s、扫描次数6次。试验测得除漆后基体表面粗糙度S为1.739μm,仿真与试验误差率仅有0.6%。对比发现,激光除漆后基体表面宏观形貌高低不平、存在激光扫描痕迹,表面粗糙度S从1.319μm增加到1.739μm。从微观层面发现基体表面存在钝化层与隆起的熔融物,局部区域更加光滑平整,基体化学成分没有改变。激光除漆后基体显微硬度从平均141.59 HV降低到130.37 HV,腐蚀速率由原来的0.0088520 mm/a减小到0.0023404 mm/a,基体显微硬度降低,耐腐性提高。虽然激光除漆后基体表面形貌与表面性能改变,但对基体的再利用以及油漆的再涂装没有影响,研究内容可为改进激光除漆工艺提供参考,以减少基体损伤并获得更好的除漆效果。
In order to improve the efficiency and quality of laser paint removal,the surface roughness of the substrate after laser paint removal was optimized by response surface analysis.By establishing the quadratic polynomial regression model of laser paint removal process parameters,the adaptability of the model is verified,and the surface properties of the substrate after using the optimal parameters are further compared and analyzed.Results show that the laser power and frequency have significant effects on the surface roughness of the substrate,and scanning speed and scanning times have little effect on surface roughness.When using 2024 aluminum alloy as the base,the paint thickness is 100μm,the optimal parameters obtained by response surface analysis method are:laser power 45 W,laser frequency 400 kHz,laser scanning speed 600 mm/s,scanning times 6.Surface roughness of Sthe substrate is 1.739μm,and the error rate between simulation and experiment is only 0.6%.These results show that the macroscopic morphology of the substrate surface is uneven and laser scan trace,and the surface roughness Sincreases from 1.319μm to 1.739μm.It is found that there are passivation layer and bulge molten substance on the surface of the substrate,and the local area is smoother and even,and the chemical composition of the matrix has not changed.After laser paint removal,the microhardness of the substrate decreased from 141.59 HV to 130.37 HV,the corrosion rate decreased from 0.0088520 mm/a to 0.0023404 mm/a,and the microhardness of the substrate decreased and the corrosion resistance improved.Although the surface morphology and properties of the substrate are changed after laser paint removal,it has no effect on the reuse of the substrate and the repainting of the paint.This research provides a reference for improving the laser paint removal process,so as to reduce the matrix damage and obtain better paint removal effect.
作者
刘世光
孙树峰
陈希章
王萍萍
邵勇
王津
王海涛
刘纪新
Liu Shiguang;Sun Shufeng;Chen Xizhang;Wang Pingping;Shao Yong;Wang Jin;Wang Haitao;Liu Jixin(School of Mechanical and Automotive Engineering,Qingdao University of Technology,Qingdao,Shandong 266525,China;School of Mechanical Engineering,Wenzhou University,Wenzhou,Zhejiang 325000,China;School of Information and Control Engineering,Qingdao University of Technology,Qingdao,Shandong 266525,China;School of Electromechanical Engineering,Qingdao Huanghai University,Qingdao,Shandong 266427,China)
出处
《应用激光》
CSCD
北大核心
2022年第6期114-124,共11页
Applied Laser
基金
国家自然科学基金面上项目(51775289)
高等学校学科创新引智计划资助(D21017)
山东省重点研发计划项目(2019GGX104097,2019JZZY010402)
青岛西海岸新区2020年度科技源头创新专项项目(2020-103)。
关键词
激光除漆
响应面分析
表面粗糙度
2024铝合金
表面硬度
耐腐蚀性
laser paint removal
response surface analysis
surface roughness
2024 aluminum alloy
surface hardness
corrosion resistance
