The factor cutting speed has the largest contribution (35.04%) to the variation in S/N ratios, with a high F-value of 16.99 and a very low p-value (0.001), indicating that it is highly significant.
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Machine learning-based model to predict von Mises stress and chip reduction coefficient developed during dry turning of EN36C steel.
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