Modelling and computation of the casting process by particle method
نویسندگان
چکیده
Particle-based computational methods, such as the Smoothed Particle Hydrodynamics (SPH) method, do not require a numerical mesh. Because of the mesh-less characteristics, they are suitable for the numerical simulation of the casting process. In order to optimize the production condition, the simulation of the semi solid casting by the particle method is expected to be applicable. In the semi solid casting process, we push the mold in order to fill solidifying molten metal into the narrow space. As the previous study of the casting simulation by particle method, Cleary’s numerical results are known [1]. In their results, the shrinkage cavity and the residual pressure distributions in final castings are shown. These results imply possibility of the casting simulation by the particle method. However, the important elements in the calculation of semi solid casting, which are mentioned as follows, were not considered in their method. (1) The influence of the surface tension should not be ignored, when molten metal flows into the narrow space. (2) Unnatural vibration of the density may become the problem when we calculate the pressurized fluid by the particle method. (3) In order to resolve the narrow space, large number of the particles is necessary for the simulation i.e. vast computational cost is needed Therefore we enabled the numerical method controlling density vibration, and the numerical method of the surface tension in addition to the original method of Cleary [2] [3]. Furthermore, using the parallel computer, we enabled the flow calculation of the narrow space. Then, in this study, we developed the numerical method based on that of Cleary for the semi-solid casting by the particle method. We will show the numerical results of the castings by our method.
منابع مشابه
بررسی تأثیر فرآیند اکستروژن بر ریزساختار و استحکام کامپوزیت Al6061-SiC
Al-SiC composites are among the most demanding metal matrix composites due to their excellent strength, good ductility, good corrosion resistance, low coefficient of thermal expansion and reasonable price. Manufacturing of cast metal matrix composites usually involves some problems such as inhomogeneous distribution of the particles due to poor wetability of ceramics to molten alloys, porosity ...
متن کاملNEURAL NETWORK MODELING OF THE EFFECT OF COOLING SLOPE CASTING PARAMETERS ON PARTICLE SIZE OF PRIMARY SILICON CRYSTALS OF SEMISOLID CAST INGOTS OF Al-20Si (wt%)
Abstract: Cooling slope-casting processing is a relatively new technique to produce semisolid cast feedstock for the thixoforming process. Simple equipment, ease of operation, and low processing costs are the main advantages of this process in comparison with existing processes such as mechanical stirring, electromagnetic stirring, etc. The processing parameters of cooling slope casting are...
متن کاملMATHEMATICAL MODELLING OF THE EFFECT OF FOAM DEGRADATION ON MOULD FILLING IN THE GREY IRON EPC PROCESS
In this investigation a new model was developed to calculate gas pressure at the melt/foam interface (Gap) resulting from foam degradation during mould filling in the Lost Foam Casting (LFC) process. Different aspects of the process, such as foam degradation, gas elimination, transient mass, heat transfer, and permeability of the refractory coating were incorporated into this model. A Computati...
متن کاملThermal Simulation of Solidification Process in Continuous Casting
In this study, a mathematical model is introduced to simulate the coupled heat transfer equation and Stefan condition occurring in moving boundary problems such as the solidification process in the continuous casting machines. In the continuous casting process, there exists a two-phase Stefan problem with moving boundary. The control-volume finite difference approach together with the boundary ...
متن کاملApplication of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters
The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight (m), and solution concentration (ppm). The main target of this work is to model and evaluate the process of pollutant adsorption from industrial wastewaters using the non-linear multivariate regression and intell...
متن کامل