scholarly journals A Geometric Accuracy Error Analysis Method for Turn-Milling Combined NC Machine Tool

Symmetry ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 1622
Author(s):  
Pengzhong Li ◽  
Ruihan Zhao ◽  
Liang Luo

Turn-Milling Combined NC machine tool is different from traditional machine tools in structure and process realization. As an important means in the design stage, the analysis method of geometric accuracy error is also different from the traditional method. The actual errors and the error compensation values are a pair of "symmetry" data sets which are connected by the movement of machine tools. The authors try to make them more consistent through this work. The geometric error terms were firstly determined by topological structure analysis, then based on homogeneous coordinate transformation and multibody system theory, the geometric error model was established. With the interval theory, the function rule of sensitivity of geometric error sources to spatial errors was analyzed in detail, and the global maximum interval sensitivity of nine geometric error sources was extracted, providing a theoretical basis for error compensation and precision distribution. The geometric error sensitivity analysis method proposed in this paper can accurately evaluate the influence weights of each error term on the machining accuracy, and identify the important sensitive error terms with great influence on the machining accuracy from many error terms.

2012 ◽  
Vol 472-475 ◽  
pp. 2371-2376 ◽  
Author(s):  
Jin Dong Wang ◽  
Jun Jie Guo ◽  
Yu Fen Deng ◽  
Hai Tao Li

Error compensation is an effective method to improve the machining accuracy of NC machine tool. A laser tracker is used to rapidly and accurately detect the geometric error of NC machine tool in the paper. The machine tool is controlled to move on the preset path in the space, and a laser tracker is used to measure the motion trajectory of the machine tool. Each geometric error can be identified by error separation. Based on the error model of 3-axis machine tool, error compensation can be carried out by modifying the machining process (G code). Results of experiment show that, this measurement method is feasible, and modifying the G code for error compensation is also effective.


2012 ◽  
Vol 510 ◽  
pp. 44-49
Author(s):  
Xiao Feng Wang ◽  
Jin Wei Fan ◽  
Yun Li

The geometric error is the important aspect of affecting the process accuracy of NC machine. In order to improve the machining accuracy, the article gives a new method to compute the cutter path by making use of the error model of MAKINO based on multi-body theory. By comparing the errors which is not divided with the errors that is divided, the study shows that dividing the errors into different regions is an effective method that can improve the accuracy of machine tools. Combing the new method and the error compensation based on multi-body theory, the error partition can be easily used in the compensation of machine tools by modifying the G code.


2020 ◽  
Vol 108 (11-12) ◽  
pp. 3537-3546
Author(s):  
Hongwei Liu ◽  
Rui Yang ◽  
Pingjiang Wang ◽  
Jihong Chen ◽  
Hua Xiang ◽  
...  

2014 ◽  
Vol 941-944 ◽  
pp. 2243-2246
Author(s):  
Xin Zhou

In view of the existing problems of indirect position closed-loop control, a digitized closed-loop control method is presented and a new kind of position control system with fully digitized closed-loop based on that method is developed. In this way, the fully digitized control of cutter trajectory is implemented with the features of digitized driving, digitized measuring and digitized position control, so that the machining accuracy of the NC machine tools is effectively assured. This system has been used on varieties of NC machine tools and very good results have been obtained in the machining of complex precision parts.


2016 ◽  
Vol 43 ◽  
pp. 370-386 ◽  
Author(s):  
Ligang Cai ◽  
Ziling Zhang ◽  
Qiang Cheng ◽  
Zhifeng Liu ◽  
Peihua Gu ◽  
...  

2013 ◽  
Vol 303-306 ◽  
pp. 627-631 ◽  
Author(s):  
Zhen Yu Han ◽  
Hong Yu Jin ◽  
Yu Long Liu ◽  
Hong Ya Fu

Error compensation can improve the accuracy of machine tools effectively. Among the error sources affecting the accuracy of CNC machine tool, geometric error is always set as a key performance criterion. This paper summarizes several methods of geometric error modeling and reviews the characteristics of different methods. Furthermore, available methods for measuring geometric errors have been reviewed also based on the advanced instruments. This work aims at enhancing the efficiency of error detection and give a perspective for the application of error compensation in the future.


2011 ◽  
Vol 308-310 ◽  
pp. 531-537
Author(s):  
Yu Fen Deng ◽  
Jun Jie Guo ◽  
Jin Dong Wang ◽  
Jun Feng Lu

This paper presents a measurement method of NC machine geometric accuracy. The principle is that a laser tracker is used to collect a lot of target point coordinates on four different locations around the machine during the machine spindle moving. A redundant equations could be established through target point coordinates,then the exact location of each target point coordinates could be determined by the principles of GPS positioning.Through the target point coordinates,the geometric error of machine could be separated. The method has fast measuring speed and low cost.Moreover the measurement precision is higher than direct measurement only using one laser tracker because the GPS positioning principle is used to avoid the angle measurment of laser tracker.


2018 ◽  
Vol 232 ◽  
pp. 01006
Author(s):  
Sanping Wang ◽  
Junwen Chen ◽  
Wei Yan

Energy consumption process is the basis for energy efficiency improvement of machine tools. Most of the existing researches focus on the static modelling of energy consumption of a machine tool; however, there are a few studies that paid attention to that how process parameters influence the energy consumption of machine tools during processing. It is noted that the process parameters can be selected to reduce energy consumption during machining processes without additional investment. In this paper, a characteristic energy consumption model for NC machine tool was proposed. Then, the mapping rule between process parameters and energy consumption of machine tool was studied, and the model was solved with the regular neural network (RNN). Finally, the result was verified with an experiment of milling the surface of aluminium block, which can effectively improve the energy efficiency of machine tool. The experiment results are shown that regular neural network is used to optimize the process parameters and process the same machining characteristics; we analyze the in machining process of machine tool based on the three cutting parameters, and then, a model of energy consumption. We employ to learn, and use this trained model to select optimal parameters.


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