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Study On Safe And Efficient Milling Process Of Cast Magnesium Alloy ZM5

Posted on:2023-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:P WangFull Text:PDF
GTID:2531306848465124Subject:Engineering
Abstract/Summary:PDF Full Text Request
Magnesium alloy is the lightest metal material in industrial application,known as "green environmental protection engineering material of the 21 st century",and widely used in communication and electronics industry,automobile industry,aerospace and many other fields.However,due to low ignition point and high chemical activity of magnesium alloy,it is easy to cause chip burning or explosion in cutting process.How to achieve safe and efficient processing of magnesium alloy under the premise of ensuring processing quality is an urgent problem to be solved in magnesium alloy processing industry.In order to solve the problem of chip burning and explosion in the cutting process of cast magnesium alloy ZM5,the effects of milling parameters on milling temperature,magnesium alloy chip,milling force and surface roughness were studied by simulation and experiment,and the safe and efficient machining of cast magnesium alloy ZM5 was realized by parameter optimization.The main contents of this paper are as follows:(1)The stress-strain curves of cast magnesium alloy ZM5 at different strain rates and temperatures were obtained by quasi-static tensile and Hopkinson pressure bar experiments,and the P-L constitutive model parameters of cast magnesium alloy ZM5 were analyzed.Based on P-L constitutive model parameters and Advant Edge finite element analysis software,the material milling simulation model was established to study the milling process of cast magnesium alloy ZM5 and the influence of various milling parameters on milling temperature.(2)The milling experiment of cast magnesium alloy ZM5 was designed to study the influence of spindle speed,feed per tooth,milling depth and milling width on chip fineness and minimum chip size,and the chip proportion was given.A chip prediction model based on 1DCNN-GRU neural network was established to predict the minimum chip size and the proportion of dangerous chips that affect the chip combustion,which provided a new idea to reduce the chip combustion in the actual production of cast magnesium alloy ZM5.(3)Based on milling experiments,the effects of milling parameters on milling force and surface roughness of cast magnesium alloy ZM5 were investigated,and a mathematical regression model was established.A multi-objective optimization model was established based on milling force,surface roughness,chip size and machining efficiency.Genetic algorithm was used to optimize the process parameters to obtain safe and efficient cutting parameters and solve practical machining problems.
Keywords/Search Tags:cast magnesium alloy ZM5, high efficiency milling, chip analysis, 1DCNN-GRU neural network prediction, multi-objective optimization
PDF Full Text Request
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