A Neural Network Based Defect Prediction Approach for Virtual High Pressure Die Casting
نویسندگان
چکیده
منابع مشابه
High pressure die casting of Fe-based metallic glass
Soft ferromagnetic Fe-based bulk metallic glass key-shaped specimens with a maximum and minimum width of 25.4 and 5 mm, respectively, were successfully produced using a high pressure die casting (HPDC) method, The influence of die material, alloy temperature and flow rate on the microstructure, thermal stability and soft ferromagnetic properties has been studied. The results suggest that a stee...
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There are about 33 processes commercially available for the production of aluminium castings. About 70% of the castings are produced using conventional high-pressure die-casting process. It’s main drawbacks are 1) Air and gas blow holes 2) Unable to weld 3) unable to heat treat to enhance mechanical properties. To overcome these, many modern processes have been invented. A few of them are 1) Hi...
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In the contribution the stress of die materials of thermal fatigue is defi ned and material life is derived theoretically and compared with the measured values. The important properties of the die materials as thermal conductivity, coeffi cient of thermal expansivity, modulus of elasticity and mechanical properties are described. Binding to it single die materials as carbon steels and chrome-tu...
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In the present paper, optimization of process parameters of an aluminium die casting operation is discussed. The quality problem encountered during the manufacturing of a die casted component was porosity and the potential factors causing it are identified through causeeffect analysis. An analysis of variance (ANOVA) is conducted to find the factors with significant effects on porosity. The pre...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1948/1/012019