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

Yu, Hangzhuo, Qin, Sheng-feng, Ding, Guofu, Jiang, Lei and Han, Lei (2019) Integration of tool error identification and machining accuracy prediction into machining compensation in flank milling. The International Journal of Advanced Manufacturing Technology. ISSN 0268-3768 (In Press)

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Official URL: https://doi.org/10.1007/s00170-019-03365-2

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.

Item Type: Article
Uncontrolled Keywords: Tool rotation profile error, Error identification, Accuracy prediction, Error compensation, Flank milling
Subjects: G400 Computer Science
H300 Mechanical Engineering
Department: Faculties > Arts, Design and Social Sciences > Design
Depositing User: Elena Carlaw
Date Deposited: 04 Mar 2019 11:55
Last Modified: 23 Apr 2019 13:46
URI: http://nrl.northumbria.ac.uk/id/eprint/38274

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