Intelligent Optimization Of Hydraulic Machinery For Removing Oil Contamination Based On Multi-objective Dynamic Information Modeling Technology

The hydraulic machinery for removing oil contamination is an important part of the quality assurance technology for Middle Route of South-to-North Water Transfer Project.It is an important line of defense for the safe use of water by the people in the water receiving area.Being rapid and direct,it has the advantages of no secondary pollution and low energy consumption when removing the floating oil in the channel.At the same time,it can also serve as a multi-channel sampling and testing platform for water quality in channel cross sections,serve as a pontoon,transporting emergency materials,etc.,to achieve a multi-purpose function.In order to improve the overall efficiency of this device to remove oil contamination,this article has mainly done related research in the following aspects:First of all,for the specific conditions of the physical characteristics of the oil contamination and the installation location,the overall plan design and the specific design of the key technical difficulties are carried out.Secondly,by using Creo3.0,the three-dimensional modeling of floating body of the main components of the oil pollution interception and diversion device is built and the test of the degree of man-machine fitting is tested.The simplification of the external load(wind,wave,current)of the floating body is also calculated.On this basis,with the help of the finite element analysis software ANSYS,the static analysis and mechanical performance checking of the floating body are carried out under the external load.After that,we use AQWA to analyze the hydrodynamic performance of the floating body,and then determine the design parameters and target parameters of multi-objective optimization.In the range of the main design parameters of floating body,the design parameters are discretized and the representative samples are extracted and improved by using the uniform test design DOE method and AQWA.On the basis of constructing the response surface by using ANN algorithm,the global optimization was performed by using MOGA algorithm,and the Pareto front was obtained.The optimal solution of the candidate points and the simulation solution under the optimal main design parameters are compared.There is a certain deviation between the two.In the engineering application,the numerical optimization simulation should be performed again to determine whether the selected candidate points are suitable.In addition,the numerical simulation results before and after the optimization are compared to verify that the optimized floating body has better hydrodynamic performance.Finally,based on Creo3.0,the parameterized 3D virtual modeling is carried out for the main component(bionic flow channel)of the oil contamination extraction device.13 sets of sample points are extracted by using the uniform design test method,the VOF method and the multiphase flow theory in the range of the structural parameters of the bionic flow channel.Combined with the GA&ANN optimization algorithm,the bionic flow structure parameters of the optimal oil contamination transfer efficiency are obtained.On the basis of the three-dimensional CFD numerical simulation of the oil-gas-water three phase flow in the bionic flow channel,the factors affecting the oil transfer efficiency of the bionic flow channel are analyzed.