Optimization Of Leaching Stirring Tank Based On Response Surface Methodology

As a piece of common mining equipment,the leaching rate of stirring leachate has always been the focus of design developers.In order to maximize the contact area between solid particles and liquid reactants,thereby improving leaching efficiency,the key point of exploration is how to use smaller power consumption to make solid particles suspend in the tank more uniformly.When optimizing the design of the stirring leaching tank,the cost of optimizing the design is greater because of the adjustable structural parameters and operating conditions.In order to reduce the time and economic cost of optimizing the design,this paper,based on the response surface method which is widely used in the optimization of complex engineering problems in recent years,simulates the flow field of the stirring leaching groove under the condition of low solid content,fits the corresponding proxy model,and optimizes the design of the leaching groove by using intelligent optimization algorithm on this basis.The specific research content of this paper is summarized as follows:(1)On the basis of reviewing the development status quo of stirring leaching grooves at home and abroad,combined with the principles of flow-solid coupling,response surface method,an intelligent optimization algorithm,and the optimization design process of this paper is proposed.(2)Select the straight blade blades which are widely used in the current engineering practice,based on the computational fluid dynamics software XFlow,determine the numerical simulation scheme of the two-phase flow of solid liquid in the leaching tank,and compare the model experiment with the simulation to verify the correctness of the numerical simulation.(3)Select the agitator diameter,the height of the agitator from the bottom,the number of blades,the thickness of the blade,the height of the blade,the diameter of the paddle plate and the speed of the agitator from parameters affecting the leaching rate of the leaching stirring tank as the test design variables.The value range of the design variable and the economy of the agitator are constrained with the power consumption of the agitator and the bottom acceleration of solid-phase particles as the optimization target,and sampled using the optimal Latin ultra-cubic test method.(4)Based on the structural parameters of each set of sample points,the simulation model is established and the flow field simulation is carried out,the function form of the response surface selects the secondary polynomial with cross-entry,fits the response surface proxy model according to the test results,and analyzes its significance.(5)Based on Pareto's optimal idea,multi-objective optimization is obtained by using genetic algorithm iteration to obtain multi-objective optimization results of stirring leaching groove,combined with the established response surface proxy model.Based on the structural parameters of the optimal solution,the simulation model is established and the flow field simulation test is carried out,and then compared with similar data in the previous test process.The results show that the optimized stirring leaching tank can improve the starting and bottom acceleration of solid phase particles while reducing power consumption.In this paper,the optimization design idea combining the response surface method with the intelligent optimization algorithm is used to verify the optimization effect under different operating conditions through flow field simulation,which provides a reference for the optimization design of the stirring leaching tank and has practical application value.