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PTFE覆铜板槽孔飞秒激光加工质量预测模型研究

徐向前 欧卓东 孙勇 余举满 王成勇 郑李娟

机械科学与技术2026,Vol.45Issue(5):835-842,8.
机械科学与技术2026,Vol.45Issue(5):835-842,8.DOI:10.13433/j.cnki.1003-8728.20240107

PTFE覆铜板槽孔飞秒激光加工质量预测模型研究

Study on Prediction Model for Quality in Femtosecond Laser Processing of Slot Holes of PTFE Copper-clad Laminates

徐向前 1欧卓东 1孙勇 1余举满 1王成勇 1郑李娟1

作者信息

  • 1. 广东工业大学 机电工程学院,广州 510006||高性能工具全国重点实验室,广州 510006
  • 折叠

摘要

Abstract

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.

关键词

PTFE覆铜板/槽孔/飞秒激光加工/质量预测模型

Key words

PTFE copper-clad laminate/slot hole/femtosecond laser processing/prediction model of quality

分类

机械制造

引用本文复制引用

徐向前,欧卓东,孙勇,余举满,王成勇,郑李娟..PTFE覆铜板槽孔飞秒激光加工质量预测模型研究[J].机械科学与技术,2026,45(5):835-842,8.

基金项目

国家自然科学基金优秀青年科学基金项目(52122510)与东莞市重点领域研发项目(20201200300022) (52122510)

机械科学与技术

1003-8728

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