An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling

The prediction of regenerative chatter stability has long been recognized as an important issue of concern in the field of machining community because it limits metal removal rate below the machine’s capacity and hence reduces the productivity of the machine. Various full-discretization methods have...

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Main Authors: Chao Huang, Wen-An Yang, Xulin Cai, Weichao Liu, YouPeng You
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2020/9071451
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spelling doaj-6dc9b1f7140f48c8992126a28fe4e5442020-11-25T02:51:19ZengHindawi LimitedShock and Vibration1070-96221875-92032020-01-01202010.1155/2020/90714519071451An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in MillingChao Huang0Wen-An Yang1Xulin Cai2Weichao Liu3YouPeng You4National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaNational Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaNational Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaNational Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaNational Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaThe prediction of regenerative chatter stability has long been recognized as an important issue of concern in the field of machining community because it limits metal removal rate below the machine’s capacity and hence reduces the productivity of the machine. Various full-discretization methods have been designed for predicting regenerative chatter stability. The main problem of such methods is that they can predict the regenerative chatter stability but do not efficiently determine stability lobe diagrams (SLDs). Using third-order Newton interpolation and third-order Hermite interpolation techniques, this study proposes a straightforward and effective third-order full-discretization method (called NI-HI-3rdFDM) to predict the regenerative chatter stability in milling operations. Experimental results using simulation show that the proposed NI-HI-3rdFDM can not only efficiently predict the regenerative chatter stability but also accurately identify the SLD. The comparison results also indicate that the proposed NI-HI-3rdFDM is very much more accurate than that of other existing methods for predicting the regenerative chatter stability in milling operations. A demonstrative experimental verification is provided to illustrate the usage of the proposed NI-HI-3rdFDM to regenerative chatter stability prediction. The feature of accurate computing makes the proposed NI-HI-3rdFDM more adaptable to a dynamic milling scenario, in which a computationally efficient and accurate chatter stability method is required.http://dx.doi.org/10.1155/2020/9071451
collection DOAJ
language English
format Article
sources DOAJ
author Chao Huang
Wen-An Yang
Xulin Cai
Weichao Liu
YouPeng You
spellingShingle Chao Huang
Wen-An Yang
Xulin Cai
Weichao Liu
YouPeng You
An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling
Shock and Vibration
author_facet Chao Huang
Wen-An Yang
Xulin Cai
Weichao Liu
YouPeng You
author_sort Chao Huang
title An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling
title_short An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling
title_full An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling
title_fullStr An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling
title_full_unstemmed An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling
title_sort efficient third-order full-discretization method for prediction of regenerative chatter stability in milling
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2020-01-01
description The prediction of regenerative chatter stability has long been recognized as an important issue of concern in the field of machining community because it limits metal removal rate below the machine’s capacity and hence reduces the productivity of the machine. Various full-discretization methods have been designed for predicting regenerative chatter stability. The main problem of such methods is that they can predict the regenerative chatter stability but do not efficiently determine stability lobe diagrams (SLDs). Using third-order Newton interpolation and third-order Hermite interpolation techniques, this study proposes a straightforward and effective third-order full-discretization method (called NI-HI-3rdFDM) to predict the regenerative chatter stability in milling operations. Experimental results using simulation show that the proposed NI-HI-3rdFDM can not only efficiently predict the regenerative chatter stability but also accurately identify the SLD. The comparison results also indicate that the proposed NI-HI-3rdFDM is very much more accurate than that of other existing methods for predicting the regenerative chatter stability in milling operations. A demonstrative experimental verification is provided to illustrate the usage of the proposed NI-HI-3rdFDM to regenerative chatter stability prediction. The feature of accurate computing makes the proposed NI-HI-3rdFDM more adaptable to a dynamic milling scenario, in which a computationally efficient and accurate chatter stability method is required.
url http://dx.doi.org/10.1155/2020/9071451
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