Multi-objective Optimization of Bucket Wheel Reclaimer Based on Improved Dragonfly Algorithm

doi:10.3901/JME.2021.06.211

Abstract

Abstract: Aiming at the characteristics of high energy consumption, maximum gross weight, high manufacturing cost and multiple design variables of the bucket wheel reclaimer(BWR), an improved dragonfly algorithm is proposed to solve the multi-objective optimization problem of the BWR. A hybrid strategy composed of air resistance and Coulomb force is proposed to improve the traditional dragonfly algorithm(DA) based on the natural and physical phenomena. The performance of the improved DA is verified by the test functions. A multi-objective optimization model considering the mass and rotational inertia of the BWR's reliability and frequency constraints is established. The improved DA is used for multi-objective solution to obtain the Pareto solution set of the BWR, and a suitable weight ratio of mass and rotational inertia is selected as an example for optimization research. The main purpose is to verify the effectiveness of the multi-objective optimization of the BWR. Results show that the optimized structure layout not only has smaller mass and rotational inertia values, but also can effectively avoid the resonance of the BWR. In addition, it can effectively improve the performance of the BWR, and provide the basis for the future integration of material-structure-control multidisciplinary design optimization.

Key words: dragonfly algorithm, hybrid strategy, bucket wheel rclaimer, multi-objective optimization

CLC Number:

TH122

YUAN Yongliang, GUO Zhenggang, WANG Peng, SONG Xueguan. Multi-objective Optimization of Bucket Wheel Reclaimer Based on Improved Dragonfly Algorithm[J]. Journal of Mechanical Engineering, 2021, 57(6): 211-223.

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