Improving the Accuracy of Machined Parametric Surfaces Using Cutting Force Synthesis and Surface Offset Techniques

M. Gadalla, W. ElMaraghy
{"title":"Improving the Accuracy of Machined Parametric Surfaces Using Cutting Force Synthesis and Surface Offset Techniques","authors":"M. Gadalla, W. ElMaraghy","doi":"10.1115/imece1997-1091","DOIUrl":null,"url":null,"abstract":"\n Prediction of machining errors and compensation for these errors during the tool path generation stage can improve the product quality significantly. A traditional approach would be machining a few parts, followed by a measuring process to estimate the errors, and finally using a scheme to compensate for the errors. In this paper two approaches are used to avoid trial runs. In the first approach prediction of the deflection of the cutting tool (based on modelling of the cutting forces) at certain points distributed on the design surface is calculated. An inverse operator is then applied to these errors to calculate a compensation vector at each point. A variable offset geometrical model was developed that uses these vectors to build the compensated surface. A detailed simulation analysis for the proposed compensation scheme is presented for different surface shapes in both up and down milling. The second approach is based on improving the roughing strategy by leaving a uniform thickness layer during the roughing phase on top of the finished surface. This leads to more uniform distribution of the cutting forces that may improve the accuracy of the finished surface.","PeriodicalId":432053,"journal":{"name":"Manufacturing Science and Engineering: Volume 1","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Manufacturing Science and Engineering: Volume 1","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/imece1997-1091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Prediction of machining errors and compensation for these errors during the tool path generation stage can improve the product quality significantly. A traditional approach would be machining a few parts, followed by a measuring process to estimate the errors, and finally using a scheme to compensate for the errors. In this paper two approaches are used to avoid trial runs. In the first approach prediction of the deflection of the cutting tool (based on modelling of the cutting forces) at certain points distributed on the design surface is calculated. An inverse operator is then applied to these errors to calculate a compensation vector at each point. A variable offset geometrical model was developed that uses these vectors to build the compensated surface. A detailed simulation analysis for the proposed compensation scheme is presented for different surface shapes in both up and down milling. The second approach is based on improving the roughing strategy by leaving a uniform thickness layer during the roughing phase on top of the finished surface. This leads to more uniform distribution of the cutting forces that may improve the accuracy of the finished surface.
利用切削力综合和曲面偏移技术提高加工参数曲面的精度
在刀具轨迹生成阶段对加工误差进行预测和补偿,可以显著提高产品质量。传统的方法是加工几个零件,然后进行测量过程来估计误差,最后使用方案来补偿误差。本文采用两种方法来避免试运行。在第一种方法中,计算了分布在设计表面上的某些点上的刀具挠度的预测(基于切削力的建模)。然后对这些误差应用逆算子来计算每个点上的补偿向量。开发了一个可变偏移几何模型,利用这些矢量来构建补偿曲面。对所提出的补偿方案进行了上、下铣削时不同表面形状的仿真分析。第二种方法是基于改进粗加工策略,在粗加工阶段在成品表面的顶部留下均匀厚度的层。这样可以使切削力分布更均匀,从而提高加工表面的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信