RTCP test axis motion planning for five-axis machine tool dynamic performance using observability optimization based on modified genetic algorithm

Author(s):  
Qicheng Ding ◽  
Wei Wang ◽  
Jiexiong Ding ◽  
Jing Zhang ◽  
Chong Hu ◽  
...  
2020 ◽  
Vol 143 (2) ◽  
Author(s):  
Hoai Nam Huynh ◽  
Yusuf Altintas

Abstract A systematic modeling of multibody dynamics of five-axis machine tools is presented in this article. The machine is divided into major subassemblies such as spindle, column, bed, tool changer, and longitudinal and rotary drives. The inertias and mass center of each subassembly are calculated from the design model. The subassemblies are connected with elastic springs and damping elements at contact joints to form the complete multibody dynamic model of the machine that considers the rigid body kinematics and structural vibrations of the machine at any point. The unknown elastic joint parameters are estimated from the experimental modal analysis of the machine tool. The resulting position-dependent multibody dynamic model has the minimal number of degrees-of-freedom that is equivalent to the number of measured modes, as opposed to thousands used in finite element models. The frequency response functions of the machine can be predicted at any posture of the five-axis machine, which are compared against the directly measured values to assess the validity of model. The proposed model can predict the combined rigid body motion and vibrations of the machine with computational efficiency, and hence, it can be used as a digital twin to simulate its dynamic performance in machining operations and tracking control tests of the servo drives.


Author(s):  
Xiaogeng Jiang ◽  
Robert J Cripps

A double ball bar (DBB) is used extensively to evaluate the geometric and dynamic performance of three-axis machine tools by means of the XY, YZ and XZ planar circular tests. However, research using a DBB to test the rotary axes of five-axis machine tools simply, quickly and effectively is scarce. In this paper, a method having two steps to identify the imprecision of the rotary axes caused by the position-independent geometric errors (PIGEs) is presented for a tilting rotary type five-axis machine tool using a DBB. The first step is designed to evaluate two rotary axes with one setup. Its advantage of fast diagnosis effectively reduces the machine down time, and thus can be employed as a quick testing approach of the machine tool. However, if some of the diagnosed errors fall outside their tolerances, a more accurate but slower check needs to be carried out due to the limitation of the first step. The second step aims to test the two rotary axes separately, each in two sub-steps. By means of varying the position of the pivot, the A- and C-axes can be tested individually. Both steps are performed with only one axis moving, thus simplifying the error analysis. Implementation of the proposed methods was carried out on a Hermle C600U five-axis machine tool. To show the validity of the method, the identified PIGEs are compensated for in each step, which suggests that the first step can be used as a fast and preliminary indication of a five-axis machine tool’s performance, whilst the second can be carried out if a more thorough evaluation is needed.


2012 ◽  
Vol 500 ◽  
pp. 440-446
Author(s):  
Lin Geng ◽  
Yun Feng Zhang

In this paper, a novel method is proposed to generate optimal 5-axis finish tool-paths regarding joint movements and machining efficiency. A modified genetic algorithm is used to search for the optimal posture sequence along a tool-path while interference avoidance and surface finish quality act as constraints. Case studies are then provided to prove the effectiveness of the algorithm.


2017 ◽  
Vol 174 ◽  
pp. 550-556 ◽  
Author(s):  
Xiushan Wang ◽  
Hehu Zhang ◽  
Ying Chen ◽  
Yachao Liu

2016 ◽  
Vol 693 ◽  
pp. 134-140
Author(s):  
Wei Tian ◽  
Ying Tian ◽  
Lei Zhang ◽  
Zhi Hui Song ◽  
Jian Sun

Basing on the combining of the stone carving technology and the traditional machining technology, some parts of the design of five-axis linkage machine tool has been done and the virtual prototyping of the machine tool has been finished. This paper focuses on the whole structure’s modal analysis and column’s structural optimization of the five-axis machine tool. In view of normal surface with a large length to width ratio, we can optimize the wall thickness of the column to ensure a better dynamic performance. In the process, when the wall thickness is 10mm, the result shows a reasonable modal frequency and fitting weight.


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