首页 | 本学科首页   官方微博 | 高级检索  
     

基于特征的飞机复杂结构件切削力快速预测与评价方法
引用本文:周鑫,李迎光,刘浩,刘长青. 基于特征的飞机复杂结构件切削力快速预测与评价方法[J]. 中国机械工程, 2015, 26(7): 886-891
作者姓名:周鑫  李迎光  刘浩  刘长青
作者单位:南京航空航天大学,南京,210016
基金项目:国家科技重大专项(2012ZX04010041)
摘    要:提出了基于特征的飞机复杂结构件切削力预测方法,重点解决侧铣切削力预测的问题。基于特征表达工件局部形状、尺寸以及切削参数等信息,为切削力预测提供充分的支撑;采用解析法构建切削力模型,并通过实验获取相关系数;基于商业CAM软件平台开发并实施了所提出的方法。切削实验结果表明,基于特征的切削力预测平均误差为8.73%,在CAM平台上可实现飞机结构件单个指定特征的侧铣切削力的快速准确预测及评价。

关 键 词:飞机结构件  特征  侧铣  切削力预测  

A Feature-based Cutting Force Fast Prediction and Evaluation for Complex Aircraft Structure Parts
Zhou Xin;Li Yingguang;Liu Hao;Liu Changqing. A Feature-based Cutting Force Fast Prediction and Evaluation for Complex Aircraft Structure Parts[J]. China Mechanical Engineering, 2015, 26(7): 886-891
Authors:Zhou Xin  Li Yingguang  Liu Hao  Liu Changqing
Affiliation:Nanjing University of Aeronautics and Astronautics,Nanjing,210016
Abstract:A feature-based cutting force prediction method was proposed herein, which focused on the problem of flank milling force prediction. Partial shape, dimension, and cutting parameter information were represented based on features, which provided sufficient support for cutting force prediction and evaluation. Analytical approach was adopted to construct cutting force model and correlation coefficient was obtained for the cutting force model by experiments.The proposed method was implemented based on commercial CAM software platform. Experimental results show that the average error of cutting force prediction is 8.73%, which means that the quick and accurate cutting force prediction can be achieved for individual specified features of aircraft structural parts by using the proposed method on CAM platform.
Keywords:aircraft structural part  feature  flank milling  cutting force prediction  
本文献已被 CNKI 等数据库收录!
点击此处可从《中国机械工程》浏览原始摘要信息
点击此处可从《中国机械工程》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号