Alternative experimental methods for machine tool dynamics identification: A review

被引:43
作者
Iglesias, Alexander [1 ]
Tunc, L. Taner [2 ]
Ozsahin, Orkun [3 ]
Franco, Oier [4 ]
Munoa, Jokin [1 ,5 ]
Budak, Erhan [6 ]
机构
[1] Ideko, Dynam & Control, Elgoibar, Basque Country, Spain
[2] Sabanci Univ, Integrated Mfg Technol Res & Applicat Ctr, TR-34956 Istanbul, Turkey
[3] Middle East Tech Univ, Ankara, Turkey
[4] Univ Waterloo, Precis Controls Lab, Waterloo, ON, Canada
[5] Univ Basque Country UPV EHU, Dept Mech Engn, Bilbao, Spain
[6] Sabanci Univ, Mfg Res Lab, TR-34956 Istanbul, Turkey
基金
欧盟地平线“2020”;
关键词
Dynamic characterization; Machine tool dynamics; FRF identification; POSITION-DEPENDENT DYNAMICS; RANDOM CUTTING EXCITATION; FACE MILLING OPERATIONS; CHATTER STABILITY; MODAL-ANALYSIS; DRIVE CONTROL; FORCE MEASUREMENT; DAMPING SYSTEM; PREDICTION; SPINDLE;
D O I
10.1016/j.ymssp.2022.108837
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
An accurate machine dynamic characterization is essential to properly describe the dynamic response of the machine or predict its cutting stability. However, it has been demonstrated that current conventional dynamic characterization methods are often not reliable enough to be used as valuable input data. For this reason, alternative experimental methods to conventional dynamic characterization methods have been developed to increase the quality of the obtained data. These methods consider additional effects which influence the dynamic behavior of the machine and cannot be captured by standard methods. In this work, a review of the different machine tool dynamic identification methods is done, remarking the advantages and drawbacks of each method.
引用
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页数:19
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