Abstract The tribological properties of self-lubricating composites are influenced by many variables and complex mechanisms. Data-driven methods. including machine learning (ML) algorithms. can yield a better comprehensive understanding of complex problems under the influence of multiple parameters. https://www.parisnaturalfoodes.shop/product-category/organic-navy-beans/
Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms
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