PTFE覆铜板槽孔飞秒激光加工质量预测模型研究OA

High-frequency polytetrafluoroethylene(PTFE)copper-clad laminates are widely used in electronic systems such as high-performance servers and 5G/6G communications.The quality of their slots will affect the reliability of electronic products.However,laser processing of slots often suffers from quality problems such as poor hole shape and severe heat-affected zone.This paper uses femtosecond infrared laser to process PTFE copper-clad plate slots,uses the slot quality experimental data of the femtosecond laser processing experiment to build a slot quality prediction model,and verifies the accuracy of the prediction model through experiments.The research results show that the coefficient of determination R2 of the built BP artificial neural network slot width prediction model is 0.98,and the model is highly reliable.The processing parameters are randomly selected for quality prediction and repeatedly compared with the experimental results.The result is that the slot width prediction deviation is 1.22%.The depth prediction deviation is 9.86%,the taper prediction deviation is 10%,and the heat-affected zone width prediction deviation is 6.9%;after optimization,the prediction deviation of the processing quality parameter value of femtosecond laser processing of copper-clad plate slots is within 5%.Therefore,the quality prediction accuracy of the model is high and can be used to guide actual production.