Design and Optimization of Intelligent Algae Interception Equipment for Rivers based on Orthogonal Analysis and Finite Element Analysis
Zhang Huchen *
School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.
Wang Xuebing
School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.
*Author to whom correspondence should be addressed.
Abstract
This paper describes the process of designing an intelligent algae deterrent device that can stop algae and clean water, and the mechanical analysis and optimization of the key force parts of the device. The design of the equipment includes the design of the main structural frame and the transmission mechanism. The optimization process is mainly based on the orthogonal analysis experimental method, and ANSYS is used as the main calculation tool. The maximum stress of the chain is taken as the experimental result, the length of the tooth rake, the chain material and the transmission power are taken as three factors, and three levels are set for each factor, and a four-factor three-level orthogonal test table is selected. Finally, the optimized parameter values were obtained by simulated annealing algorithm, and reducing the self-weight of the equipment reduces the probability of resonance and enhances the stability of the system, It has some reference significance to the development research, structure design and optimization of intelligent algae interception equipment for river cleaning.
Keywords: Algae interception equipment, orthogonal analysis, ANSYS, analysis of variance, simulated annealing algorithm