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Study On Parameter Optimization Of Electrical Discharge Machining Stainless Steel Mould

Posted on:2014-03-07Degree:MasterType:Thesis
Country:ChinaCandidate:H ChenFull Text:PDF
GTID:2251330401983311Subject:Mechanization of agriculture
Abstract/Summary:PDF Full Text Request
Stainless steel has some advantages such as high strength, high stiffness, corrosion resistance, wide range of temperatures. Therefore it has been widely applied in the field of aerospace, petrochemical and instrument industry. However, stainless steel is a typical difficult-to-machine material. High cutting temperature, high work hardening tendency and serious tool wear during machining stainless steel that makes the difficulty in controlling its machining quality, even cannot be cutting. It has become an important factor to restrict the application of stainless steel.Because of the advantages of non contact machining and almost no cutting force within the processing, the Electrical Discharge Machining (EDM) processing is not limited by the strength and hardness of materials, has obvious benefits in machining hard cutting material. However, EDM processing is a complicated and random process influenced by many parameters which have a complicated relationship with each other in EDM, it is more difficult to establish a standard mathematical model to describe the process. Compared with additional mechanical machining method, it is more difficult to master the technology of process planning in EDM. So it has great practical value to improve the machining accuracy and efficiency, simplify the operating process.Based on these two questions above, on the basis of consulting plenty of domestic and foreign literature,a series of experiments of EDM were designed and carried out, the processing technology and the profitability of EDM machining Stainless steel analyzed by mathematical statistics and contrast, summarizes the relation between electrode material and machining result.Meanwhile the paper utilizes MATLAB7.13software to set up the artificial neural network parameters optimized selection model. The paper has done some work as follows:(1) In this paper, the mechanism and process of EDM were analyzed, considering the features and contents of EDM process planning, the mechanism and process of EDM were analyzed, technical effects were comprehensively evaluated by four process indexes such as speed, electrode wear, surface smoothness and discharge gap. The influences of electrical parameters on the technical indexes were studied, and the technical rule of EDM was summarized.(2) In order to improve the material removal rate and reduce electrode wear, EDM multi-electrode machining3Cr13die steel was used to study process performance of different electrode material. The electrical discharge machining contrast experiments with diverse technological parameters were designed and carried out. The processing technology and the profitability of EDM technology have been analyzed. The results suggest that, the processing performance of EDM was changed by the thermal properties of the electrode material. The Cu50W material removal rate is about85.7%using the copper as reference, however, the relative electrode wear is about42.9%. The above results provided a theoretical foundation for the select of electrode in EDM machining stainless steel mould. (3) The Cu50W electrode material machining3Cr13die steel were used to study process performance of different electrode parameters. Material removal rate, electrode wear rate and discharge gap are taken as evaluation performance index of machine Stainless steel with EDM, obtained the best parameters for single factor blade processing,in order to achieve high efficiency and stability of processing,we can according to different process to adjust each parameter.(4) Based on summarizing the traditional optimization method, Comparison of multi-objective optimization, using artificial neural network technology to build parameters optimized selection model of EDM, and tested by experiments, simulation result was compared with date provided from manufacturer, The results suggest that: The mean predicted errors were7.65%,12.75%,5.86%,for material removal rate, electrode wear and discharge gap. It is concluded that the proposed model provides an accurate result for process, and fits the experimental results well.The experimental results provided a theoretical foundation for studying EDM processing of Stainless steel deeply, and provided a simplify and feasible optimized electrical parameters for the high efficient, low loss and high precision EDM processing of3C13die steel, The work also provides another feasible way to accelerate research on EDM mechanism. It has certain reference and practice significance for the manufacturing of3C13complex die impressions.
Keywords/Search Tags:stainless steel, EDM, processing, parameter optimization
PDF Full Text Request
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