AI Optimization of Casting Sandpaper for Enhanced Surface Finish and Process Efficiency
DOI:
https://doi.org/10.31181/rme508Keywords:
Artificial intelligence (AI), Efficiency, Artificial Neural Networks, Genetic Algorithms, Casting ProcessAbstract
This study explores the integration of artificial intelligence (AI) techniques into the casting surface finishing process using abrasive sandpaper. The aim is to optimize surface roughness, enhance efficiency, and extend abrasive life while maintaining cost-effectiveness. Machine learning models including Random Forest, Support Vector Regression, and Artificial Neural Networks are developed based on experimental data. The study also applies Genetic Algorithms and Particle Swarm Optimization for multi-objective process optimization. Results show significant improvements in prediction accuracy and process control, presenting a data-driven framework for smarter manufacturing.
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