Integration of tool error identification and machining accuracy prediction into machining compensation in flank milling

Hangzhuo Yu, Shengfeng Qin, Guofu Ding, Lei Jiang*, Lei Han

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
9 Downloads (Pure)

Abstract

In a flank milling process, the tool rotation profile error induced by its radial dimension error, setup error, tool deflection, and wear has a great influence on the dimensional accuracy of the machined components. In this paper, we present an integrated identification of tool error, prediction of machining accuracy, and compensation methodology for tool profile error to improve the machining accuracy. Firstly, the tool errors are divided into static and dynamic errors based on the error characteristics and the corresponding error identification methods are established to recognize the tool error parameters. Secondly, the machining accuracy is predicted by a prediction model, and the tool error parameters are input into this model. Thirdly, a new tool error compensation method is developed and incorporated in the corresponding NC codes. Finally, some machining experiments have been carried out to validate the proposed identification-prediction-compensation methodology, and the results show that this methodology is effective.

Original languageEnglish
Pages (from-to)3121-3134
JournalInternational Journal of Advanced Manufacturing Technology
Volume102
Issue number9-12
Early online date12 Feb 2019
DOIs
Publication statusPublished - 1 Jun 2019

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