A novel stability prediction approach for thin-walled component milling considering material removing process |
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Authors: | Jiahao SHI Qinghua SONG Zhanqiang LIU Xing AI |
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Affiliation: | 1. Key Laboratory of High Efficiency and Clean Mechanical Manufacture,Ministry of Education,Shandong University,Ji'nan 250061,China;2. School of Mechanical Engineering,Shandong University,Ji'nan 250061,China |
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Abstract: | The milling stability of thin-walled components is an important issue in the aviation manufacturing industry,which greatly limits the removal rate of a workpiece.However,for a thin-walled workpiece,the dynamic characteristics vary at different positions.In addition,the removed part also has influence on determining the modal parameters of the workpiece.Thus,the milling stability is also time-variant.In this work,in order to investigate the time variation of a workpiece's dynamic characteristics,a new computational model is firstly derived by dividing the workpiece into a removed part and a remaining part with the Ritz method.Then,an updated frequency response function is obtained by Lagrange's equation and the corresponding modal parameters are extracted.Finally,multi-mode stability lobes are plotted by the different quadrature method and its accuracy is verified by experiments.The proposed method improves the computational efficiency to predict the time-varying characteristics of a thin-walled workpiece. |
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Keywords: | Material removal effect Multi-mode Stability Thin-walled workpiece Vibration |
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