Milling chatter prevention by adaptive spindle speed tuning

Nan-Chyuan Tsai, Din Chang Chen, Rong Mao Lee, Bai Lu Wang

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents how the real-time chatter prevention can be realized by feedback of acoustic cutting signal, and the efficacy of the proposed adaptive spindle speed tuning algorithm is verified by intensive experimental simulations. A pair of microphones, perpendicular to each other, is used to acquire the acoustic cutting signal resulting from milling chatter. A real-time feedback control loop is constructed for spindle speed compensation so that the milling process can be ensured to be within the stability zone of stability lobe diagram. Acoustic Chatter Signal Index (ACSI) and Spindle Speed Compensation Strategy (SSCS) are proposed to quantify the acoustic signal and actively tune the spindle speed respectively. By converting the acoustic feedback signal into ACSI, an appropriate Spindle Speed Compensation Rate (SSCR) can be determined by SSCS based on real-time chatter level or ACSI. Accordingly, the compensation command, referred to as Added-On Voltage (AOV), is applied to increase/decrease the spindle motor speed. By inspection on the precision and quality of the workpiece surface after milling, the efficacy of the real-time chatter prevention strategy via acoustic signal feedback is further assured.

Original languageEnglish
Pages (from-to)597-602
Number of pages6
JournalWorld Academy of Science, Engineering and Technology
Volume62
Publication statusPublished - 2010 Feb

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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