Machine learning and response surface methodology for optimization and prediction of tribological performance of PLA/rice husk biochar composites.

At a load of 10 N, the model yields F = 21.83, with p < 0.05, indicating a highly significant result, with R 2 = 0.9762 and Adj.

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Filler wt% maintains a negative trend ( r = − 0.20), indicating friction reduction with higher filler content.

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