Optimization of Sand Casting Process Parameters to Minimize Cold Shut Defect

The quality of cast components is critical in manufacturing industries, as defects such as cold shuts lead to increased rejection rates, material waste, and production costs. This study employs Response Surface Methodology (RSM) to optimize key sand casting process parameters — pouring temperature, pouring time, moisture content, and mold hardness — in order to minimize cold shut defects. A Central Composite Design (CCD) was used to analyze parameter interactions and determine the optimal settings. The regression model demonstrated strong predictive accuracy with an R 2 value of 86.03%, while Analysis of Variance (ANOVA) confirmed the statistical significance of the results. Experimental validation showed a 45% reduction in cold shut defects. These findings highlight RSMs effectiveness as a robust tool for process optimization and quality improvement in casting operations, offering a practical framework for defect reduction and enhanced productivity in industrial applications.

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Publication Details

Journal
Journal of Advanced Manufacturing Systems
Published
2025-08-30
DOI
https://doi.org/10.1142/s021968672750003x
Primary Topic
Materials Engineering and Processing
Type
article
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article

Optimization of Sand Casting Process Parameters to Minimize Cold Shut Defect

S Bhosale, Vasudev D. Shinde
Journal of Advanced Manufacturing Systems
Materials Engineering and Processing
article

Optimization of Sand Casting Process Parameters to Minimize Cold Shut Defect

S Bhosale, Vasudev D. Shinde
article en

Abstract

The quality of cast components is critical in manufacturing industries, as defects such as cold shuts lead to increased rejection rates, material waste, and production costs. This study employs Response Surface Methodology (RSM) to optimize key sand casting process parameters — pouring temperature, pouring time, moisture content, and mold hardness — in order to minimize cold shut defects. A Central Composite Design (CCD) was used to analyze parameter interactions and determine the optimal settings. The regression model demonstrated strong predictive accuracy with an R 2 value of 86.03%, while Analysis of Variance (ANOVA) confirmed the statistical significance of the results. Experimental validation showed a 45% reduction in cold shut defects. These findings highlight RSMs effectiveness as a robust tool for process optimization and quality improvement in casting operations, offering a practical framework for defect reduction and enhanced productivity in industrial applications.

Journal of Advanced Manufacturing Systems
DKTE Society's Textile and Engineering Institute (IN)
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Openalex Percentile: Top 77%
Materials Engineering and Processing
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Optimization of Sand Casting Process Parameters to Minimize Cold Shut Defect — S Bhosale, Vasudev D. Shinde · Journal of Advanced Manufacturing Systems (2025) | TGRS Research Map | TGRS