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瞬时铣削力建模与铣削力系数的粒子群法辨识
引用本文:王保升,左健民,汪木兰.瞬时铣削力建模与铣削力系数的粒子群法辨识[J].机械设计与制造,2012(3):63-65.
作者姓名:王保升  左健民  汪木兰
作者单位:1. 江苏大学机械工程学院,镇江212013;南京工程学院材料学院,南京211167
2. 江苏大学机械工程学院,镇江,212013
3. 先进数控技术江苏省高校重点建设实验室,南京,211617
基金项目:江苏省高校自然科学基础研究项目
摘    要:为获得精确的瞬时铣削力模型,对微元铣削力进行分析,建立了微元铣削力模型。依据立铣加工的特点,提出了微元铣削刃参与铣削的判断方法,给出了具体的计算公式。在此基础上,建立了包含剪切效应和犁入效应的瞬时铣削力模型。利用粒子群算法收敛速度快的优点,提出了基于粒子群的单位铣削力系数辨识方法,给出了算法的实现步骤。铣削试验结果表明,该方法能够精确辨识出单位铣削力系数,利用所提出的瞬时铣削力模型获得的铣削力预测值与铣削力实测值的大小和变化趋势基本一致。

关 键 词:瞬时铣削力  微元铣削刃  铣削力系数辨识  粒子群

Instantaneous milling force modeling and coefficient identification based on particle swarm optimization
WANG Bao-sheng , ZUO Jian-min , WANG Mu-lan.Instantaneous milling force modeling and coefficient identification based on particle swarm optimization[J].Machinery Design & Manufacture,2012(3):63-65.
Authors:WANG Bao-sheng  ZUO Jian-min  WANG Mu-lan
Affiliation:1School of Mechanical Engineering,Jiangsu University,Zhenjiang 212013,China)(2School of Materials Engineering,Nanjing Institute of Technology,Nanjing 211167,China)(3Jiangsu Key Laboratory of Advanced Numerical Control Technology,Nanjing 211617,China)
Abstract:To obtain an accurate instantaneous milling force model,milling force of element edge is analyzed,and a model is established.According to the characteristics of end-milling,a method is proposed to judge whether an element milling edge is milling or not,and a specific formula is given.On the basis,an instantaneous milling force model for end-milling is developed including the shear effect and plough effect.Taking into account the PSO algorithm advantages of fast convergence,a coefficient identification method based on the algorithm for milling force is presented.Also,the implementation steps are given.Milling test results show that the method can identify the milling force coefficient accurately.Predicted values using the proposed instantaneous milling force model are almost the same as measured values.
Keywords:Instantaneous milling force  Element milling edge  Milling force coefficient identification  Particle swarm optimization(PSO)
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