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Research On Lightweight Of Spreader Boom Based On Response Surface Optimization And Particle Swarm Optimization

Posted on:2024-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:X ShiFull Text:PDF
GTID:2531307094980839Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
As the country strengthens the construction of man-less operation systems and promotes normalized operation policies for large open-pit mines,semi-continuous and continuous mining processes have become the dominant production of open-pit mines.As the end of the semi-continuous / continuous process system,the safe and efficient operation of the rock discharge machine is very important.However,there is a big gap between the optimization design of the key structural parts of the rock discharge machine and foreign products,and research in this area needs to be carried out urgently.Therefore,this paper takes a certain type of spreader as the research object,analyzes its working conditions,and further analyzes the structure and load characteristics of the discharge arm and the receiving arm of the spreader.On this basis,the effective intelligent calculation method is used to carry out the lightweight design of the discharge arm and the receiving arm of the spreader,aiming at providing a new idea for the lightweight design of the key structural parts of the spreader.This paper focuses on the following work:Firstly,the rock discharge machine’s working condition,station,and load condition are analyzed.Typical working conditions of spreader: 1.no material condition;2.normal operating conditions.Typical station of receiving arm: 1.left limit station;2.intermediate station;3.right limit station.Typical station of discharge arm: 1.horizontal station;2.upper row 11.7° station;3.lower7.7° station.The boom of the spreader is mainly subjected to self-weight load,material load,and additional load.Secondly,Solidworks is used to model the receiving boom parametrically,and the established three-dimensional model is imported into ANSYS Workbench for static and modal analysis.According to the analysis results,it can be concluded that the most dangerous working condition of the receiving boom is the left limit station,and the left longitudinal chord has a large optimization space.Based on the receiving arm’s structural and load characteristics,the response surface optimization method was selected to optimize the design of the receiving arm.The optimized arm model was subjected to static,modal,and buckling analysis and verification.The analysis results show that the optimized boom model can meet the stiffness,strength,vibration characteristics,and stability requirements and reduce its mass by1.5 %.Thirdly,Solidworks is used to model the discharge boom,and the established three-dimensional model is imported into ANSYS Workbench for static and modal analysis.According to the analysis results,it can be concluded that the most dangerous working condition of the receiving boom is the horizontal working position,and its beam end 1 and beam end 2 have large optimization spaces.Based on the discharge arm’s structural characteristics and load characteristics,the particle swarm optimization algorithm is selected to optimize the cross-section parameters of the receiving arm.In the optimization process,the particle swarm optimization algorithm is improved for the multi-peak problem caused by steel plate selection.The improved particle swarm optimization algorithm is used to optimize the cross-section parameters of the discharge arm.According to these parameters,the model is remodeled,and the optimized arm model is analyzed and checked for statics,modal,and buckling.The analysis results show that the optimized boom model can meet the stiffness,strength,vibration characteristics,and stability requirements and reduce its mass by 4.95%.Finally,the optimized receiving arm and discharging arm are assembled into the whole machine model and imported into ANSYS Workbench for static and modal analysis.The analysis results show that the whole machine model can meet the requirements of stiffness,strength,and vibration characteristics of the spreader under various working conditions.The first six natural frequencies of the whole model of the spreader avoid the resonance bands of the main excitations.Each index not only meets the requirements of use but also reduces the weight of the spreader by 1.79 %.In this paper,through the lightweight design of the discharge boom and the receiving boom of the spreader,the quality of the spreader boom is reduced,and the safety and stability of the spreader boom are improved.It is helpful to shorten the development cycle of spreader products and reduce the cost of design and raw materials.It has a certain reference value for the optimization design of the key structural parts of the spreader.
Keywords/Search Tags:Arm of spreader, Lightweight, Static and dynamic characteristics, Response surface optimization, Particle swarm optimization algorithm
PDF Full Text Request
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