Rapid dynamics prediction of tool point for bi-rotary head five-axis machine tool
Rapid dynamics prediction of tool point for bi-rotary head five-axis machine tool
复制标题
双回转头五轴机床刀点快速动态预测
DOI:
10.1016/j.precisioneng.2016.12.003
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发表时间:
2017-04
期刊:
影响因子:
--
通讯作者:
Zhao Wanhua
中科院分区:
文献类型:
--
作者:
Zhang Jun;Li Jianhui;Xie Zhennan;Du Chao;Gui Liang;Zhao Wanhua
Receptance Coupling Substructure Analysis (RCSA), an effective approach to rapidly predict the tool point frequency response function (FRF), generally requires the response of spindle-machine assembly by experiments. This method is feasible for three-axis machine tool because the spindle and its posture are normally unchangeable. But in terms of five-axis milling, the spindle-machine assembly changes continuously. The purpose of this study is to propose new techniques to solve the constantly-changing assembly response in order that RCSA can be used for bi-rotary head five-axis machine tools. Based on receptance matrix determination in coupling direction and single degree of freedom coupling simplification, the swivel model for holder tip receptances is established for swivel motion. According to the concept of oriented frequency response function, the rotational model is derived to calculate the holder tip receptances with rotary motion. By combining the swivel model and the rotational model, the holder tip receptance of arbitrary posture can be calculated by three orthogonal postures. A five-axis machine tool with bi-rotary head is used to conduct FRF tests on different postures. Experimental results show that the models proposed can accurately predict tool point frequency response of any posture and large difference in FRFs among those postures of bi-rotary head is detected.
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DOI:
10.1016/s0890-6955(03)00088-9
发表时间:
2003-07-01
影响因子:
14
作者:
Park, SS;Altintas, Y;Movahhedy, M
通讯作者:
Movahhedy, M
DOI:
10.1145/1143997.1144289
发表时间:
2006-07
期刊:
Proceedings of the 8th annual conference on Genetic and evolutionary computation
影响因子:
--
作者:
K. Weinert;A. Zabel;H. Müller;P. Kersting
通讯作者:
K. Weinert;A. Zabel;H. Müller;P. Kersting
DOI:
10.1016/s0007-8506(07)60437-5
发表时间:
2006
期刊:
CIRP Annals
影响因子:
--
作者:
E. Budak;A. Erturk;H. N. Özgüven
通讯作者:
E. Budak;A. Erturk;H. N. Özgüven
DOI:
10.1177/0954405416654599
发表时间:
2018-04
期刊:
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
影响因子:
--
作者:
Chao Du;Jun Zhang;Dun Lu;Huijie Zhang;Wanhua Zhao
通讯作者:
Wanhua Zhao
DOI:
10.1016/j.ijmachtools.2006.08.003
发表时间:
2007-07
影响因子:
14
作者:
M. Namazi;Y. Altintas;Taro Abe;N. Rajapakse
通讯作者:
M. Namazi;Y. Altintas;Taro Abe;N. Rajapakse