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Optimization of EDM Parameters

Author: SunZhiWei
Tutor: ZhouChi;WangYueJin
School: South China University of Technology
Course: Mechanical Engineering
Keywords: EDM electric parameters multi-objective optimization genetic algorithm elite strategy
CLC: TG661
Type: Master's thesis
Year: 2011
Downloads: 16
Quote: 0
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Electrical discharge machining(EDM),an indispensable important processing method,has a unique processing advantages,EDM is now widely used in mold manufacturing,electronics,instrumentation,automotive and other fields.In EDM,electrical parametersselection optimization of electrical discharge machining has greatly affected efficiency,processing quality and electrode wear and tear.T he traditional electrical parameters selectionsstill relied on the operators’experience and were very poor effetely.Nypro tool(Guangzhou)Co.,LTD was a wellknown mobile phone mold manufacture.Which producedmolds for large inte.inational companies suchu as Colgate,Nokia,Motorola,NEC,Boschand so on.According to low efficiency of EDM inthe nypro tool(Guangzhou)Co.,LTD,electrical parameters selection optimization of electrical discharge machining was researchedin the thesis.EDM principle was analyzed.E DM process was divided into fourstage,the formation ofthe discharge channel,energy conversion of discharge,electric corrosion were dished out,intermedium cooling,and the normal spark discharge.The transitional discharge,arcdischarge were compared,arc discharge is harmful to electric discharge machining.Therelationship between pulse width,pulse gap,peak current,servo voltage and processingspeed,s urface roughness,e lectrode wear and tear were analyzed.W hich provide a theoreticalfoundation for single factor experiment in EDM.Single factor experiments were designed and done for the accuracy of processing,processing speed,tool electrode wear and tear in EDNC65 which produced by the companyof Makino.T he relationship between pulse width,p ulse gap,p eak current,s ervo voltage andthe quality of processing were analyzed.Electrical parameters selection optimization of electrical discharge machining wasmultiobjective optimization.Some approaches of traditional multiobjective optimizationwere analyzed and summed up the shortcomings.Multi-objective optimization methods basedon genetic algorithm were introduced,which has characteristics of strong anti-interferenceand solve nonlinear problem.Multiobjective optimization methods based on geneticalgorithm were suitable to solve electrical parameters selection optimization of EDM. The method of nondominated genetic algorithm with elite strategy has solved the problemof high computational complexity and destroyed good individual.Set up model of electricalparameters selection optimization of EDM based on the nondominated genetic algorithmwith elite strategy.Thesis the model of electrical parameters selection optimization of EDMbased on nondominated sorting genetic algorithm with elite strategy was conducted for Toyocarbongraphite ISO63 electrode and 8407 steel and Matlab programmed based on thismodel.The calculation results were showed that the average processing speed is graduallyincreasing as the number of iterations.The average processing speed was stabilized afteriterative 25 times.Experimental based on original of electric parameters and the optimizedelectric parameters showed that the model of electrical parameters selection optimization ofEDM based on the nondominated genetic algorithm with elite strategy can improved theefficiency of EDM,processing quality and lower electrode wear,the process was increased22.8%in the rough processing;the roughness was reduced 13%,while the process wasreduced 10.17%in the finish processing.

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CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal cutting and machine tools > Special machine tools and processing > Electric machines and their processing
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