Linear improvement of the machining stability lobes and application in milling process prediction

Author:

Geng Z1,Ridgway K1,Turner S1

Affiliation:

1. Advanced Manufacturing Research Centre with Boeing, The University of Sheffield, Rotherham, UK

Abstract

Aiming at an in-depth understanding of the machine tool-cutting tool dynamics and its integrated contribution to the machining process stability, this paper presents an improved linear approach for milling process stability prediction. Via modal decoupling and reconstruction, the dominant modes of the machine tool-cutting tool combination are reallocated and chatter criteria are redefined. Using optimally identified pole-pairs and residues, the experimentally measured frequency response function (FRF) at the cutting edge is renormalized, to achieve an improved calibration standard for calculation of the stability lobes. In addition, the cross-term modal coupling effects are introduced into the calculation of the orientated transfer function (OTF), which gives a better theoretical integrity and higher prediction precision. Using these theoretical improvements, software is developed and experimentally validated. This includes automatic trimming of stability lobes, acoustic validation of chatter vibration occurrence, etc. The effectiveness and applicability of the method developed are also discussed.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analytical and experimental stability analysis of AU4G1 thin-walled tubular workpieces in turning process;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2020-01-03

2. A Review on Chatter in Robotic Machining Process Regarding Both Regenerative and Mode Coupling Mechanism;IEEE/ASME Transactions on Mechatronics;2018-10

3. Tool point frequency response function prediction using RCSA based on Timoshenko beam model;The International Journal of Advanced Manufacturing Technology;2017-04-10

4. Automatic experimental modal analysis of milling machine tool spindles;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2016-08-06

5. A complete methodology for identifying dynamics of heavy machine tool through operational modal analysis;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2016-08

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