Experimental study on the repeatability of positioning of linear axes of machine tools

2019 ◽  
Vol 234 (4) ◽  
pp. 739-751
Author(s):  
Guangming Sun ◽  
Gaiyun He ◽  
Dawei Zhang ◽  
Bohui Ding
Keyword(s):  
Experimental Study ◽  
Machine Tools ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Experimental Investigations ◽  
Single Factor ◽  
Factors Affecting ◽  
Assembly Method ◽  
Orthogonal Experiments ◽  
Control Machine

This study presents experimental investigations on the mechanisms of the repeatability of positioning of linear axes of computer numerical control machine tools. First, the factors affecting the repeatability of positioning of linear axes are obtained based on orthogonal experiments. Second, the mechanism of each factor affecting the repeatability of positioning is studied based on single-factor experiments. Finally, an assembly method to improve the repeatability of positioning of linear axes is proposed. The method can provide designers and workers with informative guidelines for improving the repeatability of positioning in design and assembly processes.

scholarly journals Experimental study on energy consumption of computer numerical control machine tools

2016 ◽  
Vol 112 ◽  
pp. 3864-3874 ◽  
Author(s):  
Jingxiang Lv ◽  
Renzhong Tang ◽  
Shun Jia ◽  
Ying Liu
Keyword(s):  
Experimental Study ◽  
Energy Consumption ◽  
Machine Tools ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Control Machine

Applied Research on Reliability Evaluation of CNC Machine Tools Based on D-S Evidence Theory

2013 ◽  
Vol 446-447 ◽  
pp. 645-649
Author(s):  
Jie Yu ◽  
Wu Sheng Tang ◽  
Ting Ting Wang ◽  
Qiao Chan Li ◽  
Zhan Guo Li
Keyword(s):  
Machine Tools ◽  
Evidence Theory ◽  
Reliability Evaluation ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Cnc Machine Tools ◽  
Production Cycle ◽  
Scientific Policy ◽  
Cnc Machine ◽  
Control Machine

Reliability is most important to the CNC machine tools and reliability estimation is a very important part of the reliability which has magnificence to allocate resources and put forward scientific policy. Reliability evaluation of computer numerical control machine tools can use all sorts of effective information to decrease the size of test samples and save the development costs and shorten the production cycle. The paper put forward to use D-S evidence theory and the information of experts system to decrease the uncertainty of the reliability evaluation of computer numerical control machine tools. The results show that the method can effectively decrease the uncertainty of the reliability evaluation of computer numerical control machine tools.

scholarly journals All in the Family

2002 ◽  
Vol 124 (02) ◽  
pp. 56-58 ◽  
Author(s):  
John DeGaspari
Keyword(s):  
Automotive Industry ◽  
Machine Tools ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Transfer Lines ◽  
Cnc Machines ◽  
Reconfigurable Machining ◽  
The Family ◽  
High Degree ◽  
Control Machine

This article focuses on reconfigurable machining systems. These systems have lately caught the attention of some manufacturers who need something that is more flexible than a dedicated line and produces goods faster than a shop of CNC machines. The lines are called reconfigurable because they consist of modules and, once they are programmed, can be switched quickly to turn out different, but similar pieces from a family of products. Proponents say that reconfigurable machining systems have carved out a niche between two other alternatives—dedicated transfer lines, which are optimized for producing large volumes of specific parts, and computer numerical control machine tools, which have a high degree of flexibility but are slower to finish products. Reconfigurable machining systems have been developed for the automotive industry, for instance, as car companies have increasingly outsourced their production to tier-one suppliers and demanded price reductions.

scholarly journals Research on assembly reliability control technology for computer numerical control machine tools

2017 ◽  
Vol 9 (1) ◽  
pp. 168781401668522 ◽  
Author(s):  
Yan Ran ◽  
Genbao Zhang ◽  
Jihong Pang
Keyword(s):  
Failure Mode ◽  
Machine Tools ◽  
Quality Function Deployment ◽  
Fuzzy Theory ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Mode Effects ◽  
Reliability Control ◽  
Criticality Analysis ◽  
Control Machine

Nowadays, although more and more companies focus on improving the quality of computer numerical control machine tools, its reliability control still remains as an unsolved problem. Since assembly reliability control is very important in product reliability assurance in China, a new key assembly processes extraction method based on the integration of quality function deployment; failure mode, effects, and criticality analysis; and fuzzy theory for computer numerical control machine tools is proposed. Firstly, assembly faults and assembly reliability control flow of computer numerical control machine tools are studied. Secondly, quality function deployment; failure mode, effects, and criticality analysis; and fuzzy theory are integrated to build a scientific extraction model, by which the key assembly processes meeting both customer functional demands and failure data distribution can be extracted, also an example is given to illustrate the correctness and effectiveness of the method. Finally, the assembly reliability monitoring system is established based on key assembly processes to realize and simplify this method.

scholarly journals Modular design research of computer numerical control machine tools oriented to customer requirements

2020 ◽  
Vol 12 (4) ◽  
pp. 168781402091657
Author(s):  
Fei Li ◽  
Xudong Li ◽  
Hualong Xie
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Quality Function Deployment ◽  
Modular Design ◽  
Computer Numerical Control ◽  
Mapping Method ◽  
Numerical Control ◽  
Control Machine Tool ◽  
Control Machine ◽  
Customer Demands

In order to study the modular design of computer numerical control machine tools oriented to customer demands, the customer demand information model was established based on rough analytic hierarchy process and information entropy by analyzing and transforming customer demands. Based on the domain mapping method of axiomatic design and quality function deployment integration, the product function model and structure model of computer numerical control machine tools are established. Based on fuzzy clustering analysis, the module division of computer numerical control machine tools is studied, and the dynamic clustering diagram of computer numerical control machine tools is formed with MATLAB as the operating environment. Based on Technique for Order Preference by Similarity to Ideal Solution method, the scheme of computer numerical control machine tools module division is evaluated. Taking the horizontal computer numerical control machine tool products of Shenyang Machine Tool Group as an example, the module division is carried out. The example design and the result analysis prove that the module division system is very effective and fast.

Trajectory smoothing method using reinforcement learning for computer numerical control machine tools

2020 ◽  
Vol 61 ◽  
pp. 101847 ◽  
Author(s):  
Bingran Li ◽  
Hui Zhang ◽  
Peiqing Ye ◽  
Jinsong Wang
Keyword(s):  
Reinforcement Learning ◽  
Machine Tools ◽  
Computer Numerical Control ◽  
Smoothing Method ◽  
Numerical Control ◽  
Control Machine
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