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Optimization Design Research Of Cooling System For Hot Stamping Die Based On Numerical Simulation

Posted on:2018-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y S LiuFull Text:PDF
GTID:2392330596989559Subject:Materials engineering
Abstract/Summary:PDF Full Text Request
With the improvement of people's environmental protection consciousness,automobile lightweight has an obvious advantage on energy conservation and emission reduction,which makes automobile lightweight gain wide attention.At present,the high-strength steel is one of the main ways to realize the automobile lightweight.As for high-strength steel,the forming method is mainly through hot stamping,which makes hot stamping technology become a key technology to realize the automobile lightweight.The quality of hot stamping part is mainly determined by the cooling system of hot stamping die.At the same time,the number and arrangement of cooling ducts have significant influence on structure strength and cooling system manufacturing costs of die.But the current cooling system design of hot stamping die is mainly rely on experience,there is no a standard method.So it is necessary to study the cooling system of hot stamping die and search a reliable and efficient optimization design method.In this paper,a comprehensive analysis of hot stamping die cooling system for U-shape parts of the actual industrial production is carried out.Under the premise of meeting the cooling efficiency of die,take improving the structure strength of die and decrease the cooling system manufacturing costs of die as the optimization goal.The cooling system optimization design of hot stamping die for U-shape part is realized by combining segmented model,experimental design,parametric modeling,numerical simulation of hot stamping steady temperature field,response surface method and the mathematical optimization algorithm.The actual industrial production process and basic theory of hot stamping for U-shape part are studied,and the numerical simulation parameters of hot stamping process for U-shape part are determined.Through the Python program control Abaqus to invoke self-compiled Input file to achieve the stable temperature field numerical simulation of hot stamping for U-shape part: the process of die temperature from low to high until temperature variation of die achieves stability.Realize the automation of simulation process and save the time of numerical simulation.Analyze temperature variation of die and blank during U-shape part hot stamping process after that temperature variation of die achieves stability.The cooling system parameters that need to be optimized for U-shape part hot stamping die are analyzed.In order to improve the computational efficiency and reduce the time costs of numerical simulation,segmented model is proposed to conduct the optimization of hot stamping cooling system,which is different from entire model.Segmented model include straight side model and curve side model.The optimization parameters of straight side and curve side model are analyzed and the parametric modeling is building in the Input files,which are used for the numerical simulation of the steady temperature field during the optimization process of the cooling system.Based on segmented model,experimental design,parametric modeling,hot stamping steady temperature field numerical simulation,response surface method and the mathematical optimization algorithm,take improving structure strength of die and reduce cooling system manufacturing costs as the optimization goal,range of parameter value and the cooling efficiency are taken as the constraint conditions to realize cooling system optimization design of U-shape part hot stamping die.The optimization results of segmented model are analyzed,the applicability of segmented model is studied,and the calculation efficiency is compared with entire model.Results show that segmented model can replace entire model to conduct the cooling system optimization design of hot stamping die for U-shape part,compared with entire model;segmented model can not only ensure the reliable optimization results but also significantly improve the computational efficiency and shorten the time of optimization design.
Keywords/Search Tags:Hot stamping, Cooling system of die, Segmented model, Numerical simulation, Optimization design
PDF Full Text Request
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