Abrasive selection based on constraints with the help of machine learning
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Abstract (EN)
In this study, it is aimed to perform more sanding in a shorter time by optimizing the sanding parameters of st37 and polypropylene sheet surfaces. Experiments were carried out separately on two different surfaces. The experiments were carried out at four different grit sizes and four different treatment times. As a result of the experiments, surface roughness values were obtained. Two different optimization studies were carried out for the obtained values. With this study, it has been seen that up to three times more sanding can be done with the right grit size and right time selection.
Author
Melih Sarılıgil
How to Cite
Melih Sarılıgil (Master Thesis). Abrasive selection based on constraints with the help of machine learning, 2023, Balıkesir University.
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