静电粉末喷涂机座的多目标优化及可靠性分析

Z. Cui, Shuaidan Li, Tao Yang, Yi Zheng, Jiang Liu, Haiying Cheng
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引用次数: 0

摘要

性能优异的静电粉末喷涂机可以有效地促进静电粉末喷涂生产的应用,具有低污染、节能、经济、高成膜性能的特点。为了合理优化静电粉末喷涂机活动底座的结构参数,保证其可靠性,对其进行了多目标优化设计和可靠性分析。首先,根据静电粉末喷涂机的工作原理和生产条件,建立了活动底座的参数化几何模型和数值模拟模型;其次,利用ANSYS Workbench软件对活动基座的静、动特性进行分析,得到其应力、变形和固有频率的分布;第三,建立了活动底座优化设计的数学模型。以上支撑板厚度、上下支撑板间距、角钢边宽度和角钢边厚度为设计变量,以质量、固有频率和最大变形为目标参数,采用响应面法分析设计变量的敏感性,对活动底座的尺寸进行优化。最后,以灵敏度较高的优化尺寸作为随机输入变量,采用基于拉丁超立方体抽样的蒙特卡罗方法对结构进行可靠性分析。结果表明,满足可靠性要求的优化设计结果是有效可靠的。
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Muti-Obiective optimization and Reliability Analysis of Electrostatic Powder Spraying Machine Base
The electrostatic powder spraying machine with excellent performance can effectively promote the application of electrostatic powder spraying production, which has the characteristics of low pollution, energy saving, economy and high film performance. In order to reasonably optimize structural parameters and ensure the reliability of the movable base of an electrostatic powder spraying machine, multi-objective optimization design and reliability analysis were carried out. Firstly, a parametric geometric model and numerical simulation model for the movable base were established according to the working principle and production conditions of the electrostatic powder spraying machine. Secondly, the static and dynamic characteristics of the movable base were analyzed using ANSYS Workbench software, and the distributions of stress, deformation and natural frequency were obtained. Thirdly, the mathematical model for optimum design of the movable base was established. Taking the thickness of the upper support plate, the spacing between the upper and lower support plates, the width of the angle steel edge and the thickness of the angle steel edge as design variables, and taking the mass, natural frequency and maximum deformation as objective parameters, the response surface method were used to analyze the sensitivity of design variables and to optimize the sizes of the movable base. Finally, taking the optimized sizes with high sensitivity as random input variables, the reliability analysis of the structure was carried out by using Monte Carlo method based on Latin hypercube sampling. The results show that the optimal design results satisfying reliability are effective and reliable.
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