Advanced Materials Research
Vol. 549
Vol. 549
Advanced Materials Research
Vol. 548
Vol. 548
Advanced Materials Research
Vols. 546-547
Vols. 546-547
Advanced Materials Research
Vol. 545
Vol. 545
Advanced Materials Research
Vol. 544
Vol. 544
Advanced Materials Research
Vols. 542-543
Vols. 542-543
Advanced Materials Research
Vols. 538-541
Vols. 538-541
Advanced Materials Research
Vols. 535-537
Vols. 535-537
Advanced Materials Research
Vol. 534
Vol. 534
Advanced Materials Research
Vols. 532-533
Vols. 532-533
Advanced Materials Research
Vol. 531
Vol. 531
Advanced Materials Research
Vol. 530
Vol. 530
Advanced Materials Research
Vol. 529
Vol. 529
Advanced Materials Research Vols. 538-541
Paper Title Page
Abstract: The vehicle routing problem (VRP) plays an important role in the optimization of distribution networks. Therefore, this paper designed an algorithm that can solve the VRP by using the Chaos Optimization theory which has the advantage of ergodicity and randomness. In this algorithm, logistic map generate chaotic groups and chaotic groups generate initial feasible solution (optimized by the chaos search). Then obtain final solution by using interpolation node method under the constraints of VRP. The effectiveness of the algorithm and the superiority of the result were demonstrated by the test of some benchmarks and the comparison with other optimization algorithm.
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Abstract: In this paper, application of drawbead optimization using FEM simulation and neural network was discussed for the drawing of car door. A neural network model was established to simulate the nonlinear mapping relation between the drawbead force and sheet forming parameters. The samples needed for training and testing were obtained by FEM simulation. Once the ANN trained successfully, the drawbead optimized design could be realized by using the ANN.
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Abstract: The concept of modularized pretreatment of competitive adsorption was brought forward. The purification experiment measured the breaking through curves of natural gas in the compound adsorption columns of zeolite 3A and 13X molecular sieves, according to the proposed queue of adsorption modules. The experimental and simulative results indicate that the modularized competitive adsorption method of natural gas purification is feasible and effective for the small-scale LNG project.
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Abstract: The project and techniques of driving rapid prototyping (RP) machine within CAD system were researched to avoid the precision decreasement of the data transfer from CAD to RP system. The method of achieving the layer’s contour scanning data within CAD system was researched; then, the data transfer model of direct integration of CAD and RP was established; finally, tests were conducted on a polystyrene foam cutter machine with example of layer generation. Tests show that the approximate processing to 3D CAD model can be avoided during data transfer between CAD and RP, and RP machine can be driven and controlled within CAD system.
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Abstract: a general mathematical model for describing tooth surfaces of a helical noncircular gear is established. Normal vector of tooth surface is introduced to deal with the model. First the normal direction angles and modulus are solved and then tooth surface could be generated directly, logically and systematically. Some examples are given to illustrate the application of the proposed mathematical model.
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Abstract: This paper examines the problem of assessing disassembly performance for reuse and recycling End-of-life vehicles (ELVs). The disassembly time evaluation method outlined here is shown to provide one of evidence for use during disassembly process. Moreover, in ELV recycling cases controlling performance measurement were demonstrated the elementary components of time metric. Therefore, the performance evaluation associated with disassembly performance is discussed.
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Abstract: This study proposes a multilayer perceptrons neural network with genetic algorithm (GA-MLP) for predicting the torsional strength of reinforced concrete beams. Genetic algorithm is used to determine the optimum number of inputs and hidden nodes of a feedforward neural network, the optimum slope of the activation function, and the optimum values of the learning rates and momentum coefficients. A database of the torsional failure of reinforced concrete (including normal-strength and high-strength concrete) beams with a rectangular section subjected to pure torsion was obtained from existing literature for analysis. We compare the predictions of the GA-MLP model with the ACI 318 code used for analyzing the torsional strength of reinforced concrete beams. We found that the proposed model provides reasonable predictions of the ultimate torsional strength of reinforced concrete beams and offers superior torsion accuracy compared to that of the ACI 318-02 equation considering both the correlation coefficient and absolute relative error.
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Abstract: Large flexible clamping tooling stent is mostly volume which wasted a lot of materials. Structure size is to optimize the details of the flexible clamping tooling optimization design. It is by changing the properties of the structural unit - for example, the shell element thickness, the cross-sectional properties of the beam element, the stiffness of the spring element and the quality of the mass element to achieve a certain design requirements (such as stress, mass, displacement)。This design is use of hyper mesh software to optimize the size of the pillar on the flexible clamping tooling bracket. The pillars can be as a shell for analysis, a stress constraint is specified materials at least, reduce the weight of the parts, save the cost of production to achieve the optimization purposes.
2754
Abstract: Abstract.Now the largeness of circumferential belt and 2 poles in ball billet after cold upsetting process and the consequently low material utilization ratio increase the following process time and cause a great waste. In order to obtain low allowance of ball billet, high material utilization ratio and productivity, through the research of the cold upsetting process, evaluating indicator including plumpness, roundness, cold upsetting force and volume was established, orthogonal test was designed. By the Deform simulation analysis the optimum process parameters was obtained. The results show that the optimized cold upsetting force is reduced by 35%. So the optimized process parameters has a great application value.
2759
Abstract: According to a problem of vibration and noise suppression of an engineering vehicle cab, the vibration transmission path is modeled by an engine-frame-cab system. The method of calculation of vibratory power flow, which is transmitted from the source engine to the receiver cab through the path frame and isolators, was deduced. And then an optimization strategy and corresponding analysis algorithm for the frame structure were proposed based on power flow objective function. The method proposed is validated through a practical case study.
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