Thermal mass change and tribological properties of acrylonitrile-butadiene-styrene - Experimental dataset

This material is a supplement to the paper "Prediction of tribological behaviour and thermal mass change of acrylonitrile-butadiene-styrene for additive manufacturing using artificial neural network and LM-BP optimisation method" by G. A. Munshi, Venkatesh M. Kulkarni, and Shanoorbaba Yargatti. This dataset is collected from various peer-reviewed journals, manufacturer's websites and reports. This comprehensive dataset comprises ABS compositions and their corresponding wear rate, friction coefficient and thermal mass change, which serve as the training dataset for the ANN model.