淡江大學機構典藏:Item 987654321/109037
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109037


    Title: Optimization Design for Screw Wash-Sand Machine Based on Fruit Fly Optimization Algorithm
    Authors: Fu, Yun-Fei;Gong, Jie;Peng, Zheng;Li, Ji-Hua;Li, Si-Dong;Li, Pu-Wang;Yang, Zi-Ming
    Keywords: Fruit Fly Optimization Algorithm;Non-stationary Multi-stage Assignment Penalty Function;Wash-sand Machine;Sensitivity Analysis;Specific Energy Consumption
    Date: 2016-06
    Issue Date: 2016-12-27 09:37:50 (UTC+8)
    Publisher: 淡江大學出版中心
    Abstract: The aim of this study is to minimize the specific energy consumption of the screw wash-sand machine. Let the diameter of the screw structure, pitch, diameter of the screw axis, blade thickness, installation angle, and the speed of the screw axis be the design variables, and take the minimum specific energy consumption as the optimization objective. According to the complexity of the
    optimization problem in this study, the fruit fly optimization algorithm (FOA) is used to execute the optimization design of the screw wash-sand machine. The non-stationary multi-stage assignment penalty function is adopted to cope with the constrained optimization problem. To judge the stability and reliability of the optimal solution and find the sensitive factors of the optimization design, the sensitivity analyses of the objective function and constraint conditions to the design variables are carried out. By simulation, the optimized structure parameters of the screw wash-sand machine and the data of the objective sensitivity and constraint sensitivity are obtained. The simulation results show that the specific energy consumption decreases by 4.59%; the diameters of the screw structure and screw axis are sensitive factors of the optimization design.
    Relation: Journal of Applied Science and Engineering 19(2),pp. 149-161
    DOI: 10.6180/jase.2016.19.2.05
    Appears in Collections:[Journal of Applied Science and Engineering] v.19 n.1

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