Inclusive Module to Foster SMEs for Defect Identification in Sand Casting

International Journal of Mechanical Engineering

© 2024 by SSRG - IJME Journal

Volume 11 Issue 6

Year of Publication : 2024

Authors : Nirav Mehta, Sachindra Doshi, Sanjay Zala, Nishadevi Jadeja, Amisha Pathak, Devendra Marsonia

10.14445/23488360/IJME-V11I6P111

How to Cite?

Nirav Mehta, Sachindra Doshi, Sanjay Zala, Nishadevi Jadeja, Amisha Pathak, Devendra Marsonia, "Inclusive Module to Foster SMEs for Defect Identification in Sand Casting," SSRG International Journal of Mechanical Engineering, vol. 11,  no. 6, pp. 92-104, 2024. Crossref, https://doi.org/10.14445/23488360/IJME-V11I6P111

Abstract:

Even with extreme caution while producing casting components, flaws will inevitably arise due to the broad range of variables that can go wrong during the specific phases of pattern, moulding, melting, pouring, heat treating, etc. Accurately identifying flaws and taking corrective action requires real experience and information gathered over time. Small and medium-sized casting companies, however, try to locate and hire quality specialists for fault identification. Research on creating a module to help SMEs identify defects and become less reliant on human expertise was presented. The most crucial step in the casting defect analysis procedure was creating a structural database, which was accomplished by assessing the literature and applying it practically. Developing a module to detect casting defects and provide corrective actions was part of the present research. The physical characteristics of the casting flaw were used to identify it, and the appropriate remediation was then performed. Both experts and novices can utilize the computer-assisted created module to solve the problem. The module’s confirmation was also achieved by doing a defect analysis in the casting sector to remedy the casting flaw.

Keywords:

Casting defects, Defect identification, Defect analysis module, Expert system, Sand Casting.

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