LE College, Morbi

Shrinkage porosity is one of the significant challenge in metal casting process that influence productivity and energy efficiency particularly with castings that are not produced as per the requirement of Original Equipment Manufacturers (OEMs). To address this issue, proactive measures and predictive techniques are essential. Among these, the criterion function stands out as an important empirical model widely explored in the literature. It intricately connects solidification process to the development of shrinkage porosity by considering the key variables such as molten metal velocity during solidification, cooling rate and thermal gradient to offer predictive insights into the position and existence of porosity. It is necessary to establish a criterion function that takes into account the impact of geometric variation on the degree of shrinkage porosity. In this paper, a geometry-based quantitative prediction model for ductile iron castings was developed using a standard shape of a casting with three T-joints. By correlating actual experimental data with solidification simulation results, meaningful insights were obtained and extrapolated. The resulting quantitative prediction model that incorporates the effects of geometric variation has been validated and provides better prediction of shrinkage porosity

Authors: Dr. Anjali Dave,
Journal: Engineering Research Express, Volume 7, Number 1

MECHANICAL ENGINEERING

Dr. Anjali Dave

Thermal Modelling of a five axis VMC using Finite Element Analysis

FEA as Significant Tool for Thermal Error Modeling And Compensation of 5axis VMC

Digital twinning of vertical centrifugal casting

Geometry based and simulation supported porosity prediction in ductile iron casting

LE College, Morbi

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