In-process identification of machine tool dynamics

2021 ◽  
Vol 32 ◽  
pp. 322-337
Author(s):  
Yen-Po Liu ◽  
Yusuf Altintas
2020 ◽  
Vol 4 (2) ◽  
pp. 33
Author(s):  
Oier Franco ◽  
Xavier Beudaert ◽  
Kaan Erkorkmaz

In large heavy-duty machine tool applications, the parametrization of the controller that is used for the positioning of the machine can affect the machine tool dynamics. The aim of this paper is to build a Multiple-Input and Multiple-Output model that couples the servo controller and machine tool dynamics to predict the frequency response function (FRF) at the cutting point. The model is experimentally implemented and validated in an electronically preloaded rack and pinion machine tool. In addition, the influence of each control parameter on the machine tool’s compliance is analysed.


2014 ◽  
Vol 635-637 ◽  
pp. 1394-1397
Author(s):  
Jing Zhao ◽  
Li Li ◽  
Guo Xun Wang

In order to solve the problem of large amount of calculation and real time is not high in the process of NURBS real-time interpolation feed speed planning, offline feed speed planning method is proposed, the method plan speed in non real-time cycle, and generate the feed speed curve. In order to meet the machine tool dynamics constraint, the maximum acceleration and the jerk constraints were considered fully in the planning process. The simulation analysis show that the proposed method can greatly reduce the amount of computing tasks in real-time interpolation cycle, improve the real-time performance of interpolation; At the same time, the speed curve of the planning satisfies the requirement of machine tool dynamics, has the good effect of feeding speed smooth, is helpful to improve the interpolation precision.


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