0
research-article

RCSA based method for tool FRF identification under operational conditions without using non-contact sensor

[+] Author and Article Information
Rong Yan

National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, 430074, China
yanrong@hust.edu.cn

Xiaowei Tang

National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, 430074, China
txwysxf@126.com

Fangyu Peng

National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, 430074, ChinaState Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
zwm8917@263.net

Yuting Li

National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, 430074, China
lytwhut@163.com

Hua Li

National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, 430074, China
M201570333@hust.edu.cn

1Corresponding author.

ASME doi:10.1115/1.4035418 History: Received August 29, 2016; Revised December 01, 2016

Abstract

The stability lobe diagrams predicted using the tool frequency response function (FRF) at the idle state usually have discrepancies compared with the actual stability cutting boundary. These discrepancies can be attributed to the effect of spindle rotating on the tool FRFs which are difficult to measure at the rotating state. This paper proposes a new tool FRF identification method without using non-contact sensor for the rotating state of the spindle. In this method, the FRFs with impact applied on smooth rotating tool and vibration response tested on spindle head are measured for two tools of different lengths clamped in spindle-holder assembly. Based on those FRFs, an inverse receptance coupling substructure analysis (RCSA) algorithm is developed to identify the FRFs of spindle-holder-partial tool assembly. A finite-element modeling (FEM) simulation is performed to verify the validity of inverse RCSA algorithm. The tool point FRFs at the spindle rotating state are obtained by coupling the FRFs of the spindle-holder-partial tool and the other partial tool. The effects of spindle rotational speed on tool point FRFs and stability lobe diagrams are investigated. The cutting experiment demonstrates that this method can accurately identify the tool point FRFs and predict cutting stability region under spindle rotating state.

Copyright (c) 2016 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In