Das, P (2023) Optimisation of melt pouring temperature and low superheat casting of Al-15Mg2Si-4.5Si composite. In: International Journal of Cast Metals Research, 36 (1-3). pp. 76-89.
Full text not available from this repository.Abstract
In this study, a computational fluid dynamics (CFD) model is employed to optimise the melt pouring temperature during Low superheat casting (LSC) of the Al-15 Mg2Si-4.5Si composite. The die cavity considered to perform the die filling simulations corresponds to the as-cast tensile specimens, as per ASTM B557 guidelines. The findings of the study include melt temperature distribution, solid fraction distribution during filling as well as during solidification, velocity distribution of the melt and surface defect concentration. Experimentation is performed to develop low superheat cast composite based on the numerically estimated optimum melt pouring temperature of 650°C. Mixture of irregular dendritic, polygonal and equiaxed shaped primary Mg2Si grains are observed within the cast parts, whereas primary Al grains are found to be of dendritic morphology with occasional presence of spheroids. Marked improvements in microstructure and mechanical properties have been evidenced in the LSC composite compared to its conventional cast counterpart.
| Item Type: | Journal Article |
|---|---|
| Publication: | International Journal of Cast Metals Research |
| Publisher: | Taylor and Francis Ltd. |
| Additional Information: | The copyright for this article belongs to Taylor and Francis Ltd. |
| Keywords: | Filling; Magnesium compounds; Morphology; Silicon; Silicon compounds; Surface defects; Textures, Al-15mg2si-4.5si composite; As-cast; Computational fluid dynamics modeling; Die cavity; Die filling; Low superheat casting; Optimisations; Pouring temperatures; Superheat casting; Tensile specimens, Computational fluid dynamics |
| Department/Centre: | Division of Mechanical Sciences > Materials Engineering (formerly Metallurgy) |
| Date Deposited: | 15 Jun 2023 08:28 |
| Last Modified: | 15 Jun 2023 08:28 |
| URI: | https://eprints.iisc.ac.in/id/eprint/81984 |
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