Prediction of core deflection in wax injection for investment casting by using SVM and BPNN
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Core shift is a common basic problem during the manufacture of those thin-walled hollow casting parts in investment casting. The core deflection during wax injection is the main reason for exceeding tolerance in final cast. The wax melt may advance asymmetrically along both sides of the core in wax injection process for a thin-walled hollow complex part, which causes the core to shift, resulting in non-uniform wall thickness of the wax pattern. The simulation results and experimental measurements of core deflection on the wax pattern for a hollow pump body were studied. The SVR (support vector regression) has been used to predict the core deflection for the wax pattern. Packing pressure, injection temperature and injection velocity were chosen as main process parameters. The core deflection of the wax pattern is most influenced by the melt temperature because of larger stress distribution acting on the cores in the viscous state at low injection temperature. SVR and BPNN (back-propagation neural network) were used to establish the prediction model; SVR has a better predictive ability compare with BPNN.
KeywordsWax injection Core deflection Support vector machine (SVM) Back-propagation neural network (BPNN) Investment casting
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This work was financially supported by National Natural Science Foundation of China (51705314) and The Major State Basic Research Development Program of China (2016YFB0701405). The authors gratefully acknowledge the financial supports from the National Industrial Basis Improvement Project under Project (TC160A310-12-1) and The 13th Five-year Major Project of Aero Engine and Gas Turbine of China (2017-VII-008). The Science and Technology Committee of Shanghai Municipality (16DZ2260602) is gratefully acknowledged.
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