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Structural Optimum Design Of Combined Flat Extrusion Container

Posted on:2007-06-07Degree:MasterType:Thesis
Country:ChinaCandidate:Q H FengFull Text:PDF
GTID:2121360182986304Subject:Materials Processing Engineering
Abstract/Summary:PDF Full Text Request
Flat extrusion container is the most important tool for extruding large integral aluminum wallboard. Because of working under the severe conditions of high temperature, high pressure and high friction, the stress distribution of flat extrusion container is very uneven and easy to crack. In order to improve the strength and prolong the working life of the flat extrusion container, the stress analysis and structural optimum design are done. It is advantageous to make full use of the material potential of the mould and make sure of getting its best working performance.With numerical simulation and theoretical analysis, the thermal-stress coupling analysis of combined flat extrusion container under the non-uniformly distributed pressure is realized, and the stress distributions of various loading conditions are acquired. For improving the flow status of extrusion metal, the mathematic function of transitional surface between the outlet of flat extrusion container and the inlet of die is established with the theories of flow function and conformal mapping.By combining the methods of Finite-element method, neural networks (NN) and genetic algorithms (GA), the structural sizes of three-layer combined flat extrusion container under the uniform shrinkage design are optimized. According to this, and considering the strength of flat extrusion container and dimensional accuracy of inner layer cavity, the multi-objective structural optimization of three-layer combined flat extrusion container under the non-uniform shrinkage design is realized. With analyzing, comparing and demonstrating, a feasible method of structural optimum design for flat extrusion container is obtained.The research results are significant to improving the extruding die design theory for wallboard.
Keywords/Search Tags:flat extrusion container, transitional surface, neural networks, genetic algorithms, multi-objective optimization
PDF Full Text Request
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