Papers by Author: Wen Xiao Zhang

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Authors: Li Ren, Wen Xiao Zhang
Abstract: Matching performance of ship engine and propeller has a significant impact on marine propulsion efficiency. In this paper, a hybrid approach combining particle swarm optimization (PSO) and genetic algorithms (GA) is developed for matching optimization of ship engine and propeller. Based on ship theory, the matching performance of ship engine and propeller is analyzed. Considering the diameter, angular speed, picth ratio and disk ratio of propeller, a mathematical model is constructed in which the open-water propeller efficiency is taken as the objective function for matching optimization of ship engine and propeller. Integrating PSO with GA is presented to solve it, in which the mutation operator of GA is introduced to the PSO for the diversity of particles. The effectiveness of the approach is illustrated by a matching optimization example of ship engine and propeller.
4503
Authors: Li Ren, Wen Xiao Zhang
Abstract: For the cooling system of plastic injection mold affects significantly the productivity and quality of the finial products, the cooling system design is of great importance. In this paper, considering the location, size, number of cooling channels and mold material properties, the optimization design of heterogeneous injection mold cooling system is discussed to achieve simultaneously fast and uniform cooling. A mathematical model is constructed in which the part temperature distribution uniformity and production efficiency are taken as the objective function for cooling system design of heterogeneous injection mold. For the reason of the non-linearity of design problem and the coupling of geometric with material variable, the design problem is divided into two sub-problems and the combining algorithm is used in such way that, the geometric optimization sub-problem is solved by Hooke-Jeeves method and the material optimization sub-problem is solved by particle swarm optimization (PSO) method. The effectiveness of the approach is illustrated by a design example of injection mold cooling system.
1805
Authors: Wen Xiao Zhang, Guo Dong Gao, Guang Yu Mu
Abstract: The high temperature & low cycle fatigue were experimentally studied with the 3-dimension notched 2.25Cr—1Mo steel specimens. The 3-dimension stress-strain responses of specimens were calculated by means of the program ADINA. The prediction method of 3-dimension fatigue life was discussed according to the theory of high temperature strength. The results of experiments and calculations showed that the equivalent strain range can be served as the valid mechanics for predicting fatigue life.
157
Authors: Guo Dong Gao, Wen Xiao Zhang, Jiang Hua Sui, Guang Yu Mu
Abstract: In order to solve the fault diagnosis problem of diesel engine, Elman neural network (ENN) was applied to build a fault diagnosis model of diesel engine. The training algorithm is in introduced and at the same time, the process of diesel engine fault diagnosis is also expatiated. The diagnosis results indicate the reliability. So a contingent fault of diesel engine can be identified effectively.
1506
Authors: Wen Xiao Zhang, Guo Dong Gao, Guang Yu Mu
Abstract: The crack propagation law of 2.25Cr-1Mo steel with notched cylinder was researched under high temperature low cycle fatigue. The crack propagation life was viewed by fatigue experiment and the equivalent stress-strain on the crack tip was calculated by the ANSYS. The equivalent J-integral range which was computed by equivalent elastic and plastic strain ranges were employed to denote the fatigue crack propagation rate. The results showed that crack propagation law of this material under complex stress state can be characterized by equivalent J-integral ranges and the relation between da/dN and ΔJf is not influenced by the type of notch and the load strain range.
1422
Authors: Guang Yu Mu, Li Li, Wen Xiao Zhang, Guo Dong Gao
Abstract: This paper addresses on quality improvement of expanded food. The five stages of six sigma implementation process are applied to define the problem and set a target for improvement. Then possible causes to the quality problems in expanded food are investigated, and the capabilities of the measuring system are evaluated and improved. Based on the results, the experiment scheme is conducted to find and optimize the key factors. Improvement result shows that sigma level of production process increased to 4.6, which is beyond the expectation and can save the cost.
2521
Authors: Guo Dong Gao, Wen Xiao Zhang, Wang Zheng
Abstract: The analysis of the residual life of high temperature low cycle fatigue of 30CrMnSiA steel plays important roles in improving security and avoiding accidents. In this paper, the RBF neural network method is used to predict the residual life of high temperature low cycle fatigue of 30CrMnSiA steel base on data from the thermo-mechanical fatigue test. The feasibility of the method is proved by a practice example, and the learning results are in good agreement with the experimental data.
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