Reliability Analysis of CNC Machine Tools Based on Fuzzy Theory

2015 ◽  
Vol 713-715 ◽  
pp. 7-10 ◽  
Author(s):  
Li Tao

There are many factors influencing the reliability allocation of CNC machine tools and some are difficult to analyze quantitatively, a comprehensive reliability allocation method is proposed using interval analysis, fuzzy comprehensive evaluation and analytic hierarchy process. Many influence factors were considered and endowed with different weight respectively according to the influence degree. In this paper, a reliability allocation model is proposed for CNC machine tools, which used interval number instead of real number to express uncertain information. It could make use of the field test information and experts’ experience comprehensively. Finally, the application of this method is illustrated with an example, and the results showed that the allocation method is feasible and effective for the reliability allocation of CNC machine tools.

2011 ◽  
Vol 464 ◽  
pp. 374-378 ◽  
Author(s):  
Zhao Jun Yang ◽  
Xiao Cui Zhu ◽  
Ya Zhou Jia ◽  
Li Ding Wang ◽  
Bin Bin Xu ◽  
...  

This paper chose multi-index to provide a comprehensive evaluation model to evaluate the use reliability of CNC machine tools as a single assessment indicator is biased. As the number of evaluation factors is huge and it is difficult to get the exact values, a fuzzy theory is applied. Reliability mathematical model and maintainability mathematical model were established based on failure data selected from filed test and calculated the estimation values of reliability indexes. Subsequently, a fuzzy comprehensive evaluation mathematical model of CNC machine tools was constructed which combined fuzzy with comprehensive evaluation theory. Using this model could evaluate reliability level of CNC machine tools accurately and integrative.


2021 ◽  
pp. 1-18
Author(s):  
Xiaoqing Huang ◽  
Zhilong Wang ◽  
Shihao Liu

In order to solve the problem of health evaluation of CNC machine tools, an evaluation method based on grey clustering analysis and fuzzy comprehensive evaluation was proposed. The health status grade of in-service CNC machine tools was divided, and the performance indicator system of CNC machine tools was constructed. On the above basis, the relative importance of each performance and its indicators were combined, and grey clustering analysis and fuzzy comprehensive evaluation was utilized to evaluate the health status of in-service CNC machine tools to determine their health grade. The proposed health status evaluation method was applied to evaluate the health level of an in-service gantry CNC machine that can be used for the machining propellers, and the results shown that the health status of the whole gantry CNC machine tool is healthy. The proposed evaluation method provides useful references for further in-depth research on the health status analysis and optimization of CNC machine tools.


2011 ◽  
Vol 411 ◽  
pp. 255-258 ◽  
Author(s):  
Bin Gao Yu ◽  
Lin Shi ◽  
Kun Qi Wang

To optimizing efficiently control parameters in feed servo system for adequately giving out the CNC machine tools, the velocity loop control model is built, and the comprehensive evaluation function is given. The standard particle swarm algorithm is improved to optimizing the parameters of velocity loop control in CNC machine tools. It shows the best overall performance of the velocity loop in CNC machine tools that parameters optimized by improved particle swarm algorithm Compared with genetic algorithm, the standard particle swarm algorithm and handy calculation. This optimized algorithm is a new efficient ways to solve parameter optimization of CNC servo control system.


2011 ◽  
Vol 121-126 ◽  
pp. 4661-4666
Author(s):  
Zhao Kui ◽  
Kui Zhao ◽  
Jiang Xin Yang

This paper proposed the concept of quality survival and development index. The evaluation indicators system for quality survival and development index was established which includes customer satisfaction indicators of micro-environment and quality fitness Indicators of macro-environment. Breaking the traditional limitations of quality studying that focus only on customer satisfaction rather than from a macro perspective to evaluate the quality of products. Combining micro-environment and macro-environment together to established a mathematical model of quality survival and development index. Finally, an example of CNC machine tools was employed to analysis, utilizing fuzzy comprehensive evaluation method. Through all this, we validate this method of evaluation index system practicality and effectiveness.


Author(s):  
Dong Yang ◽  
Yu Sun ◽  
Kai Wu

To solve the problem that there are many factors influencing the reliability allocation of feed mixers, and some of which are difficult to analyze quantitatively, a comprehensive reliability allocation method is researched using triangular fuzzy number, fuzzy synthetic assessment and analytic hierarchy process. In this paper, a reliability allocation model is proposed for feed mixers, which considered several influence factors, and used triangular fuzzy number instead of real number to express uncertain information. It could make use of the reliability test information and experts’ experience comprehensively. Finally, the application of this method is illustrated with an example, and the result showed that the allocation method is feasible and effective for the reliability allocation of feed mixers.


2021 ◽  
Author(s):  
Jinwei Fan ◽  
Bentian Xie ◽  
Qinzhi Zhao ◽  
Junjian Wang

Abstract In order to solve the problem of precision optimization design of CNC machine tools, this paper proposes an optimized allocation method of machine tool tolerance parameters that takes into account the slight deformation of the machine tool. First, establish a tolerance-based geometric error prediction model, and establish a spatial motion error model based on the theory of multi-body systems(MBS); Homogeneously, perform finite element analysis(FEA) on the CNC internal cylindrical compound grinding machine to obtain the slight deformation of the machine tool, and apply the result to the optimal tolerance allocation In the constraint conditions, the final optimal allocation plan is obtained; Finally, the genetic algorithm is used to simulate and analyze the plan, and the optimal tolerance allocation result is obtained. The result shows that most of the tolerance parameters have been relaxed, which means that the machine tool’s manufacturing cost. Through experiments, it is verified that the optimized machine tool machining accuracy pass rates are 98.5%, 98.25%, and 97.85%, respectively. Therefore, the optimal allocation method of tolerances that considers small deformations proposed in this paper is effective.


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