铝合金LF21微铣削顶端毛刺尺寸预测与工艺优化  

Prediction of top burr size and optimization of process parameters in micro-milling aluminum alloy LF21

作　　者：卢晓红[1] 洛家庆 丛晨 徐凯[1] LU Xiao-hong;LUO Jia-qing;CONG Chen;XU Kai(State Key Laboratory of High-performance Precision Manufacturing,Dalian University of Technology,Dalian 116024,China)

机构地区：[1]大连理工大学高性能精密制造全国重点实验室,辽宁大连116024

出　　处：《吉林大学学报(工学版)》2025年第1期125-131,共7页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(52275410)。

摘　　要：铝合金LF21屈服强度低,易发生塑性变形,微铣削加工过程中易产生毛刺,其中顶端毛刺的尺寸往往最大,对零件质量的影响最大,严重时甚至导致零件报废。目前,LF21铝合金微铣削加工顶端毛刺研究处于起步阶段,毛刺尺寸难以准确预测,加工参数对毛刺尺寸的影响规律未知。本文基于响应曲面法建立了LF21铝合金微铣削顶端毛刺尺寸预测模型,并通过试验验证了该模型的有效性,基于响应曲面法探究了切削工艺参数对顶端毛刺尺寸交互作用的影响。最后,以铝合金LF21微铣削顶端毛刺尺寸最小为目标,实现了工艺参数优化。Aluminum alloy LF21 has low yield strength and is prone to plastic deformation,and is easy to produce burrs in micro-milling process.The size of the top burr is the largest,which has a great impact on the quality of the parts,and even causes the parts to be scrapped in severe cases.At present,the research on LF21 micro-milling burr has just started.Burr size is difficult to predict accurately,and the influence of processing parameters on burr size is still unknown.A prediction model of top burr size based on response surface method is established,and experiments are conducted to verify the validity of the prediction model.Based on response surface method,the interaction effect of cutting process parameters on top burr size is investigated.Finally,the optimization of process parameters is realized with the aim of minimizing the top burr size of micro-milling aluminum alloy LF21.

关 键 词：微铣削 铝合金LF21 顶端毛刺 预测模型 工艺优化 

分 类 号：TH161.5[机械工程—机械制造及自动化]