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Simulation Of Tube Necking Forming And Process Parameters Design

Posted on:2012-07-20Degree:MasterType:Thesis
Country:ChinaCandidate:W Z HeFull Text:PDF
GTID:2211330362455966Subject:Materials Processing Engineering
Abstract/Summary:PDF Full Text Request
Electromagnetic pulse forming, shaping metal by pulse magnetic field which generate by reservoir capacitance, was one of high velocity forming method. Processing had in-volved magnetic, plastic dynamics and tribology knowledge. Making the design of forming process parameters was more complex. The impact of the tube forming the design factors and process parameters were studied by establishment of tube necking forming electro-magnetic coupling model.Study the electromagnetic force and stress distribution, which were most important factor in the effect of forming in the process, changes over time help to get better quality. Both of them were simulated by electromagnetic and forming coupled model which was establish by finite element software ANSYS in the tube necking process.The effect of discharge frequency on the forming of electromagnetic tube necking was studied by coupled model when energy under certain conditions and got optimal frequency range in the paper. Then electromagnetic-thermal sequence coupled model had created to analyze the related of frequency and temperature change that caused by Joule heating.Because of the electromagnetic forming process design was complex. Orthogonal de-sign method was utilized to synthetically study the impact of three factors, frequency, length of coil and voltage, on the maximum displacement. The optimal combination of process parameters was concluded through carried out analysis of range and variance on simulated results. According to orthogonal test results, learning and training BP neural network to predictive value of maximize displacement. And the prediction accuracy met the requirements for design of electromagnetic forming process parameters provides a simple and low-cost method.
Keywords/Search Tags:electromagnetic forming, stress distribution, coupled model, frequency, temperature, orthogonal experimental, neural network
PDF Full Text Request
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