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Optimization Of Parameters Of Aircraft Landing Gear With Orthogonal Turn-milling Based GRA-PSO Algorithm

Posted on:2015-01-26Degree:MasterType:Thesis
Country:ChinaCandidate:F LiFull Text:PDF
GTID:2181330452455167Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
The out cylinder of aircraft landing gear is made of300M ultra-high-strength steel.There are large cutting force and high cutting temperature in the non-eccentricityorthogonal turn-milling process, which is bring about severe wear and short life of the tool.Meanwhile, the superficial burns, surface residual stress and surface cracks affect thequality and efficiency of machining.In order to avoid the vibration ripples of the out cylinder of aircraft landing gearcaused by the chatter, bringing in the chatter stability lobes diagram which can avoid thechatter as the constrain conditions. The domain feasible solution of machining parameterscan be accurater by the intruduction of the SLB, which will prolong tool life and guarantequality and efficiency of machining. All in all, the the intruduction of the SLB can optimizethe parameters of aircraft landing gear with non-eccentricity orthogonal turn-milling.In the light of the machining cost, quality, efficiency of aircraft landing gear with thenon-eccentricity orthogonal turn-milling, an optimization model of machining parameterscan be consisted of maximum tool life, minimum surface roughness and maximumproductivity. Next, the constrain conditions and solution process of the optimization modelcan be determined by the tool, machine, workpiece, chatter stability lobes diagram. Duringthe solution of the optimization model, it can be done in MATLAB based on GRA-PSOalgorithm.The tool life, minimum surface roughness and maximum productivity can beoptimized in MATLAB based on the particle swarm optimization algorithm, respectively.On the results of single-objective optimization, the multi-objective optimization ofmachining parameters can be completed by the above-mentioned model. During the multi-objective optimization of the machining parameters of aircraft landing gear with non-eccentricity orthogonal turn-millng based on GRA-PSO algorithm in MATLAB, the multi-objective optimization of machining parameters is selective by laying particular attention tothe exact objective function. During the experimental verification, the validity and feasibility of the multi-objective optimazation is testified by using the experiential machining parameter and themachining parameter of multi-objective optimization, respectively, which provides the basisfor the selection of the machining parameters of aircraft landing gear with non-eccentricityorthogonal turn-milling.
Keywords/Search Tags:Orthogonal turn-milling, Machining parameters, Multi-objectiveoptimization, Particle swarm optimization, Grey correlation degree
PDF Full Text Request
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