Comprehensive Performances Test and Evaluation Based on Entropy Weight and Membership Degree Theory for Machine Tools

Author(s):  
Kuo Liu ◽  
Yongqing Wang ◽  
Jiakun Wu ◽  
Yue Ma
2013 ◽  
Vol 655-657 ◽  
pp. 1218-1223 ◽  
Author(s):  
Hong Wei Zhao ◽  
Xin Yuan He ◽  
Han Wei Wang ◽  
He Wang ◽  
Zhao Jun Yang ◽  
...  

To solve acquired the membership degree in fuzzy evaluation. we use correlation function in extension theory to calculate the degree of association between evaluation indicators and fuzzy scales, and then the degree of association is done standers conversion and normalized processing,, getting the membership value of evaluation matrix in fuzzy comprehensive evaluation. Comprising traditional statistical methods and expert evaluation method, the membership value of evaluation matrix which is gat through correlation function method of extension theory is more simple and reasonable. Comprehensive evaluation value is got from Calculating linear weighted between evaluation matrix and the index weight coming from analytic hierarchy process. Finally, using two type of home made NC machine tools as example to do the practical application study of the proposed method, the results show that this method can give the reasonable evaluation.


2011 ◽  
Vol 71-78 ◽  
pp. 4086-4090
Author(s):  
Qiang Zhang ◽  
Wen Jing Jiang ◽  
Fang Wei Liao

In the presented work, the comprehensive evaluation index system of the repair and reinforcement technology carried on mortar perfusion machine is constituted by 24 indices. According to expert investigation data, entropy method and maximum membership degree are employed to determine the weight of each index and do comprehensive evaluation respectively. It could be found that the largest social benefit of this technology was achieved under the condition of an excellent overall efficiency. Finally, some policy recommendations are proposed based on the evaluation results of relevant technology.


2020 ◽  
Author(s):  
Yi-Xiong Feng ◽  
Xuan-Yu Wu ◽  
Xing Zhai ◽  
Hao Zheng ◽  
Shan-He Lou ◽  
...  

Abstract Disassembly is one of the crucial issues for the green remanufacturing of obsolete CNC machine tools. Meanwhile, modular design method is the guarantee of disassembly rationality, which can maximize economic and environmental benefits. However, modular disassembly processes of CNC machine tools are more uncertainty in system structures and component conditions. On the basis of summarizing the existing research, disassembly module modeling of CNC machine tools is implemented. For one advantage, the rough set theory is utilized to cluster the parts into different disassembly modules. For another, disassembly information model is constructed by the disassembly multi-constrained graph. Secondly, multi-objective mathematical model which contains disassembly time, disassembly benefit and disassembly complexity is built. A novel particle swarm optimization algorithm (PSOA) improved by niche technology is applied to the disassembly sequence planning. Last but not least, this work also evaluates the disassembly scheme of CNC machine tools based on the technology for order preference by similarity to an ideal solution (TOPSIS). Evaluation indicator system is established and the comprehensive weight of evaluation indicators is determined by the respective advantages of entropy weight method (EWM) and analytic hierarchy process (AHP). A case study is conducted to illustrate the feasibility of the proposed models and methods. The results of this work can contribute to the selection of the optimal modular disassembly scheme of CNC machine tools.


2019 ◽  
Vol 19 (8) ◽  
pp. 2517-2532 ◽  
Author(s):  
Xianfeng Huang ◽  
Wanyu Li ◽  
Yingqin Chen ◽  
Guohua Fang ◽  
Wei Yan

Abstract The utilization of floodwater resources will produce benefits, but it will also pose risks; therefore, it is necessary to strengthen knowledge regarding risk assessment to minimize negative effects. In the present study, the risk factors for the utilization of floodwater resources in water diversion projects were identified, the index system was constructed, and the fuzziness and randomness of the risk were considered. Assessment was performed with respect to the following three projects: water storage, water conveyance, and water pumping. The specific methods to improve the cloud model are as follows: analytic hierarchy process (AHP) is used to calculate subjective weights, entropy weight method and projection pursuit method are used to calculate objective weights, X-conditional cloud is used to calculate index membership degree, and finally combination weight and membership degree are combined to obtain the risk level of flood resource utilization. The above methodology was applied to the risk assessment of floodwater resources utilization in the Jiangsu Province of the East Route of the South-to-North Water Transfer Project. The risk of floodwater resources utilization in high-flow, normal-flow, and low-flow years was evaluated, and the validity and applicability of the assessment method were verified.


Author(s):  
C. W. McCutchen ◽  
Lois W. Tice

Ultramicrotomists live in a state of guerilla warfare with chatter. This situation is likely to be permanent. We can infer this from the history of machine tools. If set the wrong way for the particular combination of cutting tool and material, most if not all machine tools will chatter.In more than 100 years since machine tools became common, no one has evolved a practical recipe that guarantees avoiding chatter. Rather than follow some single very conservative rule to avoid chatter in all cases, machinists detect it when it happens, and change conditions until it stops. This is possible because they have no trouble telling when their cutting tool is chattering. They can see chatter marks, and they can also hear a sometimes deafening noise.


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