Multi-objective robust optimization method for the modified epoxy resin sheet molding compounds of the impeller. Issue 3 (4th March 2016)

• Record Type: Journal Article
• Authors: Qu, Xiaozhang; Liu, Guiping; Duan, Shuyong; Yang, Jichu
• Is Part Of: Journal of computational design and engineering. Volume 3:Issue 3(2016)
• Page Start: 179
• Page End: 190
• Publication Date: 2016-03-04
• Subjects: Multi-objective robust optimization -- Impeller -- SMC molding -- Micro multi-objective genetic algorithm -- Radial basis function -- Fluid-structure interaction; Engineering -- Data processing -- Periodicals; Computer-aided design -- Periodicals; Computer-aided design; Engineering -- Data processing; Electronic journals; Electronic journals; Periodicals; 620.0042
• DOI: 10.1016/j.jcde.2016.01.002
• Languages: English
• ISSNs: 2288-4300

Abstract

Abstract: A kind of modified epoxy resin sheet molding compounds of the impeller has been designed. Through the test, the non-metal impeller has a better environmental aging performance, but must do the waterproof processing design. In order to improve the stability of the impeller vibration design, the influence of uncertainty factors is considered, and a multi-objective robust optimization method is proposed to reduce the weight of the impeller. Firstly, based on the fluid-structure interaction, the analysis model of the impeller vibration is constructed. Secondly, the optimal approximate model of the impeller is constructed by using the Latin hypercube and radial basis function, and the fitting and optimization accuracy of the approximate model is improved by increasing the sample points. Finally, the micro multi-objective genetic algorithm is applied to the robust optimization of approximate model, and the Monte Carlo simulation and Sobol sampling techniques are used for reliability analysis. By comparing the results of the deterministic, different sigma levels and different materials, the multi-objective optimization of the SMC molding impeller can meet the requirements of engineering stability and lightweight. And the effectiveness of the proposed multi-objective robust optimization method is verified by the error analysis. After the SMC molding and the robust optimization of the impeller, the optimized rate reached 42.5%, which greatly improved the economic benefit, and greatly reduce the vibration of the ventilation system.