Advanced Materials Research Vols. 479-481

Abstract: The main research results of operation monitoring hardware system design of Hanjiatuo Yangtze River Bridge are introduced. Firstly, the content and method of the system are illustrated, and then, overall composition and functions are introduced. The system consists of four subsystems, including sensor system, real time monitoring system, electric power system and grounding system, which are described in detail, and the importance of the last two systems are emphasized.

Abstract: The Ga-doped ZnO (GZO) films were prepared by DC magnetron sputtering at different substrate temperature, followed by etching in 0.5%HCL solution for 15s to obtain textured surface. Optical and electrical properties, structural and surface morphology of thin films were investigated. The results indicated that the transmittance rate decreased and the C-axis preferred orientation of films enhanced with the increase of the substrate temperature. When temperature increased from room time (RT) to 200°C, the resistivity decreased and the quality crystal became better, while substrate temperature above 250°C, the resistivity increased,the deterioration of crystallinity emerged. For the textured film deposited at 200°C, it obtained the minimum resistivity of 0.84×10^-3/(Ω•cm) and had a good light trapping ability.

Abstract: The effect of vibration reduction is analyzed for viscoelastic damping layer of gearbox device. A viscoelastic material is added to the internal and external wall of the gearbox’s oil-pan. A finite element model is established, meanwhile the modal analysis, the dynamic response and structure noise is calculated. The influence of vibration performance by damped vibration reduction technology in the application of gear system provide scientific theory basis.

Abstract: Proper pretest planning is a vital component of any successful CNC machine tools’ vibration test. An extremely important part of the pretest exercise is the placement of sensors. In general, the placement of sensors of CNC is uniform distribution, which depends on test engineer’s experience. This paper considers the problem of locating sensors on the CNC machine tools with the aim of maximizing the data information so that structural dynamic behavior of CNC machine tools can be fully characterized. We present a new technique, based upon Effective Independence (EfI) and Shannon’s Sampling Theorem, that can meet test accuracy requirements and the visualization of the mode shapes. The technique is applied on XHK5140 CNC machine tool successfully

Abstract: This paper presents a combination of Genetic Algorithm (GA) and Tuning algorithm, for optimizing Three Dimensional (3D) arbitrary sized heterogeneous box packing into a container, by considering practical constraints facing in the logistics industries. Objective of this research is to pack four different shapes of boxes of varying sizes into a container of standard dimension, without violating various practical constraints. Inorder to obtain a real time feasible packing pattern, Genetic Algorithm is developed to maximize the container volume utilization and inturn profit [9]. It significantly improves the search efficiency with less computational time and loads most of the heterogeneous boxes into the container by considering its optimal position and orientation. Tuning algorithm is used to decode the genetic output into user understandable sequential packing pattern and to fill the left-out empty space inside the container. In general, GA in conjunction with the tuning algorithm is substantially better than those obtained by applying heuristics to the bin packing directly.

Abstract: In order to improve the preshaving hob design quality and efficiency, development of the CAD software that Engineering calculation and working drawing are integrated. Introduced the software’s design of overall structure and main function of modules, elaborated the determination of the optimal design’s variables, objective function and constraint and the choice of optimal method of the preshaving hob’s antenna and chamfering section. The software has been successfully used in medium and large machinery manufacturing enterprises, improved the preshaving hob’s design speed and design quality, and reduced the labor intensity of the designer.

Abstract: In this paper, we present an efficient parameter optimization approach based on real-coded genetic algorithm, which breeds selectively offspring based on difference between individuals. A new crossover operator is proposed which generates offspring around the center of mass of parents with Laplace distribution. A set of 14 test problems available in the global optimization literature is used to evaluate the performance of proposed genetic algorithm. The comparative study shows that the proposed genetic algorithm performs quite well for parameter optimization problem.

Abstract: Aimming at the main failure modes such as the metal saw blade wearing and tearing too fast and short working life, this paper researched the influence of the vertex angle to the stress and it’s distribution using ANSYS. On the basis of static analysis, taking smaller stress and reasonable distribution as destination, the optimal vertex angle is obtained.

Abstract: This paper investigates the connecting rod design and optimization of the engineering clamp hanger based on metamodel. The structure of the clamp hanger and the working load status of the connecting rod are firstly analyzed. Then the metamodel theory is applied to the connecting rod design and optimization: The metamodel of the connecting rod is set up in Solid Edge, and the design factors are signed as function-based parameters, with their geometrical relation changeless. The corresponding parameter value can be adopted by case-based inference means so that the required structure model of the connecting rod can be obtained. Finally, keeping the fine strength security and stability, the structure of the connecting rod is optimized. The presented research in this paper offers a new reference and thought for the hanger design and improvement.

Abstract: In allusion to the deficiencies existing in current structural optimization algorithm of excavator boom such as the inefficiency in expressing and handling the constraints, the insufficiency in adopting the task knowledge to direct constraint handling, and the difficulty in obtaining and adopting the optimal process knowledge, a new method of the constraints expression and handling based on cultural algorithm for excavator boom structural optimization is put forward. The mechanism of hierarchical constraints expression and handing is established to improve the efficiency of the constraint handling in the optimal process with the cultural algorithm as frame and the task knowledge as guide. And the hierarchical topographical knowledge is formed to express tacit knowledge in the population space. Then the process of constraints expressing and handling as well as its interaction with the knowledge base is discussed under the direction of dual evolution in cultural algorithm while the aim of acquisition, expression and handling for tacit constraints knowledge in optimal process is realized. Finally, structural optimization of an excavator boom is taken as an example to demonstrate the effectiveness of this method.