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On the wavelet analysis of cutting forces for chatter identification in milling

On the wavelet analysis of cutting forces for chatter identification in milling

作     者:Cesar Giovanni Cabrera Anna Carla Araujo Daniel Alves Castello 

作者机构:Department of Mechanical Engineering UniversidadeFederal do Rio de Janeiro Rio de Janeiro Brazil 

出 版 物:《Advances in Manufacturing》 (先进制造进展(英文版))

年 卷 期:2017年第5卷第2期

页      面:130-142页

核心收录:

学科分类:080503[工学-材料加工工程] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基  金:the National Council for Scientific and Technological Development (CNPq) for its financial support Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) for its financial support 

主  题:Cutting force End milling Chatter Waveletfilter 

摘      要:Chatter vibrations in machining operations affect surface finishing and tool behaviour, particularly in the end-milling of aluminum parts for the aerospace industry. This paper presents a methodological approach to identify chatter vibrations during manufacturing processes. It relies on wavelet analyses of cutting force signals during milling operations. The cutting-force signal is first decomposed into an approximation/trend sub-signal and detailed subsignals, and it is then re-composed using modified subsignals to reduce measurement noise and strengthen the reference peak forces. The reconstruction of the cuttingforce signal is performed using a wavelet denoising pro- cedure based on a hard-thresholding method. Four experimental configurations were set with specific cutting parameters using a workpiece specifically designed to allow experiments with varying depths of cut. The experimental results indicate that resultant force peaks (after applying the threshold to the detailed sub-signals) are related to the presence of chatter, based on the increased correlation of such peaks and the surface roughness profiles, thereby reinforcing the applicability of the proposed method. The results can be used to control the online occurrence of chatter in end-milling processes, as the method does not depend on the knowledge of cutting geometry nor dynamic parameters.

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