Experimental Study and Machine Learning Modeling of Wear Properties in Al Metal Matrix Composites

This repository contains Python code and supporting dataset for the research paper: "Experimental Study and Machine Learning Modeling of Wear Properties in Al Metal Matrix Composites" The code implements and compares multiple machine learning models to predict the COF and wear rate of Al-based Metal Matrix Composites (MMCs) reinforced with varying percentages of Carbon Nanotubes (CNT). The dataset includes experimental parameters such as applied load, sliding velocity, and sliding distance.