Parameters optimization of laser transmission welding polycarbonate based on LibSVM
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摘要: 选用透明聚碳酸酯(PC)作为试验对象，铝粉碳粉混合物作为吸收剂，采用支持向量机算法对激光透射焊接聚碳酸酯试验数据进行回归分析，获得理论最优焊接工艺参数。首先，采用曲面响应法进行试验方案规划，获得焊接质量与焊接工艺相关性模型；其次，采用LibSVM支持向量机对与焊接工艺参数(激光功率、吸收剂配比、焊接速度、表面粗糙度)进行优化；最后，采用模型回归预测，并进行试验验证。研究结果表明，激光功率为37 W，焊接速度为5 mm/s，铝粉含量为29%，表面粗糙度为1.77 μm时获得最佳焊接质量，同时优化后的预测值与试验值误差较小，对降低焊接成本、提高焊接质量及焊接效率具有指导意义。Abstract: Transparent polycarbonate(PC) was selected as the experimental object and mixtures of aluminum powders and carbon powders were used as the absorbent. The support vector machine algorithm was used to perform regression analysis on the experimental data of laser transmission welding polycarbonate to obtain the theoretical optimal welding parameters. Firstly, the surface response method was used to plan the experiment program to obtain the correlation model of welding quality and welding process. Secondly, LibSVM support vector machine was used to optimize welding parameters(laser power, absorbent ratio, welding speed, surface roughness). Finally, model regression was used to predict and experimental verification was conducted. The research results showed that the best welding quality was obtained under condition of37 W laser power, 5 mm/s welding speed, 29% aluminum powder content and 1. 77 μm surface roughness. At the same time, the error between the optimized predicted value and the experimental value was small. It was of guiding significance to reduce welding cost and improve welding quality and welding efficiency.
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Keywords:
- laser transmission welding /
- absorbent ratio /
- parameters optimization /
- LibSVM
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