Applied Mechanics and Materials
Vol. 163
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Vol. 162
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Applied Mechanics and Materials
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Applied Mechanics and Materials
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Applied Mechanics and Materials
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Applied Mechanics and Materials
Vols. 157-158
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Applied Mechanics and Materials
Vols. 155-156
Vols. 155-156
Applied Mechanics and Materials
Vols. 152-154
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Applied Mechanics and Materials
Vols. 148-149
Vols. 148-149
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Applied Mechanics and Materials Vols. 155-156
Paper Title Page
Abstract: This paper proposes a method of calculating dynamic reliability using perturbation stochastic finite element. Dynamic analysis of perturbation stochastic finite element is introduced and the mean and variance of the stress can be obtained. Samples of stress and strength are generated by computer program. The Monte Carlo simulation is proposed to compute dynamic reliability of structure. Dynamic reliability of structure is computed by the stress-strength interference model. The proposed methods are demonstrated by a numerical example of axle.
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Abstract: To input rational customer requirements into engineering design process more effectively and improve product design quality and market response efficiency, this paper focuses on the interaction between market analysis and engineering design decision for the modular product. While many researchers have successful evaluated and optimized the design schemes, few, if any, have provided a bridge the customer selection and firms product development decision. After a review of the literature we introduce the flow of user-engineering design interaction including both maximize the utility of customer and the profit of the firm. On the user and market analysis flow, customer requirements are defined according to the target market, then the customer selection possibility link to the product attributes by utility function. Accordingly, the alternatives are corresponding to the module different product, and then using decision support problem method to search the optimal design parameters. Two design domains can share the design information and realize the cooperative design process by computer computing platform.
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Abstract: A high precision reverse engineering design method for complex structural component which based on the meta feature is presented. The defining method for minimal discretization meta feature is studied through the case study of an axial compressor’s impeller. Then the evaluation model of matching quality between RE planning and meta features on the basis of feature analysis and fuzzy synthesis evaluation method is put forward to select the optimal RE planning for different kinds of meta features. Combined with the split silicone mould replication method in engineering, the 3D geometry data acquisition is accurately accomplished and the reconstruction of the impeller’s model is realized from the geometric constraint angle of view and the point cloud registration of multiple views technology based on characteristic constraint. The results indicate that this method is effective for improving the measuring efficiency and quality.
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Abstract: Case-based reasoning technology has got better application in some fields. This article applies case-based reasoning technology to the automotive body panel process design on the basis of the author's practical experience. It establishes cases of the automobile body panels process design by the object-oriented representation. It designs the automotive body panels case library in the form of relational database.It establishes the way of case retrieval with non-quantitative and comprehensive evaluation method and nearest-neighbor retrieval strategy.
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Abstract: Aluminum price is very complicated for containing many uncertainty factors. In recent years, ARMA model has been widely used to make models for financial temporal series which have high fluctuation frequency, because it can grasp the dynamic characteristics of temporal series. The article proposes a price prediction method based upon ARMA model through the analysis of Aluminum price. The result has proved that the model can fit Aluminum price fluctuation quite well and prediction results prove efficiency and dependability.
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Abstract: Based on the electric hot method has been applied to turning effectively, this paper analyzes electrical properties of the electric hot cutting micro area, according to contact resistance theory the electrical conduction model of cutting micro area is established, electric hot method applied to minipore drilling of hard-to-cut materials is discussed, it develops a set of electric hot drilling device which is simple and flexible. Under the conditions of the same drilling parameters, electric hot drilling tests and ordinary drilling hole experiment are researched contrastively. Test results show that axial force and torque of electric hot drilling experiment are reduced obviously than that of ordinary drilling holes experiment. Electric heating method applied in drilling process is very effective.
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Abstract: System uses micro-controller MSP430 as MCU of a whole system, using an embedded MODEM as a MODEM of data of system, MODEM connection with the microcontroller through the serial port, using another chip of microcontroller to implement a serial communication with PC interface in order to achieve the overall system configuration. The innovations of author: system uses the data achieved by MSP430F149 to transmission system,it has some versatility, it is through an embedded MODEM module connection with the UART of microcontroller for data transmission.
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Abstract: One approach had been developed for the covalent modification of graphene sheets: amidation and esterification of graphene oxide (GO). Graphene oxide was synthesized by oxidizing graphite in strong acid and lots of oxygen-containing groups, such as hydroxyl and carboxyl processed in the carbon layers, made GO strongly hydrophilic activity as well as certain of chemical activity. This work researched a novel DNA biosensor which fabricated by immobilizing GO on Au electrode modified with mercaptoethylamine(MEA), was investigated by cyclic voltammetry. The results showed that graphite oxide was an excellent material and had a promising prospect in biosensor construction.
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Abstract: According to the characteristics of the rolling bearing fault, we make the research on fault diagnosis. Time domain signal can not perform the fault feature information well. The power spectrum changes the time domain signals into the frequency signals. It sets up the new data model. It uses the principal component analysis on fault diagnosis. It uses T square statistics and Q statistics methods to make fault diagnosis. Simulation experiment results demonstrate that this method provides a high recognition rate.
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Abstract: This paper proposes an improved shuffled frog-leaping algorithm, the algorithm improves the subpopulation frog individual optimization way which is not just the worst individual optimization. "Guide optimal" probability and "guide suboptimal" probability are put forward. The experiments results of multiple problems of the TSPLIB show that the algorithm is feasible and effective.
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