Co-design Of Structure And Operating Parameters For Bucket Wheel Reclaimer

As the largest special equipment to take bulk cargo yard,bucket wheel reclaimer(BWR)is widely used in mining,port and other scenarios to complete continuous loading and unloading the bulk cargo.BWR has the advantages of simple operation,stable operation speed and high production efficiency.Because of the complex and changeable environment and huge structure,motor rotation speed with minimum energy consumption has become an intractable problem.The traditional operation not only depends on the level of the operators,but also may cause unstable vibration,high energy consumption and landslides.To handle these issues,this dissertation takes QL6000.55 BWR as the research object,and studies the fundamental problems of high energy consumption in the working process of the BWR.A fast and efficient optimization algorithm,Coulomb force search strategy-based dragonfly algorithm(CFSSDA),is proposed to solve the high-dimensional nonlinear problems for the BWR.The multi-objective optimization system of the BWR is studied,considering the reliability and frequency constraints.A co-design optimization method is proposed,which takes into account the effect of the boom's speed on energy consumption when the bucket-wheel enters and exits the pile.On the basis of the mentioned above,a set of parametric design optimization software for BWR is developed to unify the FEA,multi-objective optimization and energy-minimum optimization.The main research work is as follows:1)The space frame model of the BWR is established based on the analysis of its working principle.The codes of space frame model is obtained based on beam-column theory and fundamentals of the FEA.The accuracy of the codes is verified by comparing the Ansys results of the test cases.Results show that the errors of all nodes are less than 0.2%,which verifies the correctness of codes in this dissertation.It can be concluded that this method can lay a solid foundation for multi-objective optimization and energy-minimum optimization.2)According to the characteristics of the BWR,a fast and high-precision optimization algorithm is proposed to solve the high-dimensional nonlinear problems.The adaptive resistance and stamina strategy(ARSS),Coulomb force search strategy(CFSS),and a hybrid strategy are proposed based on the natural and physical phenomena.The benchmark functions and test cases are selected to verify the performance of different strategies.Results reveal that the CFSS is capable of obtaining the optimal solutions and outperforming other strategies.Therefore,the CFSSDA can be used as an efficient algorithm to solve the optimization problem of the BWR.3)The multi-objective optimization system of the BWR considering reliability and frequency constraints is studied.The CFSSDA is applied to deal with the multi-objective optimization of the BWR,and a new type of cantilever structure is proposed,which fully considers the motor performance,manufacturing costs and applications.The feasibility of the optimized structure is verified by analyzing the performance of the BWR.4)The co-design optimization model of the BWR is studied.We analyzed the influence of the BWR boom's speed on energy consumption,and obtained the optimal reclaiming posture and the speed power curve.Since it is difficult to synchronize structure and trajectory optimization,a co-design method is proposed to tackle this problem,which takes into account the structure parameters and operating parameters simultaneously.In addition,a set of parametric design optimization software for the BWR is developed,which can improve the research and development efficiency and reduce the costs.