Optimization and prediction of tribological performance in HNT/LLDPE composites for rotational molding using machine learning and Taguchi–TOPSIS

Prithivirajan R, Mathi Kannaiyan, Mohammed Raffic N, Baskaran Selvam, Balasundar Pandiarajan, Gejendhiran S, Narayanasamy Pandiarajan, Balavairavan Balasubramanian, Department of Mechanical Engineering, Madanapalle Institute of Technology , Andhra Pradesh, Department of Mechanical Engineering, University College of Engineering, Department of Aeronautical Engineering, Nehru Institute of Technology, Department of Mechatronics Engineering, Kamaraj College of Engineering and Technology, Near Virudhunagar, Department of Mechanical Engineering, Kamaraj College of Engineering and Technology, Near Virudhunagar

Journal of Thermoplastic Composite Materials

Published online on December 30, 2025

Abstract

Journal of Thermoplastic Composite Materials, Ahead of Print.
The current research focuses on predicting the tribological behavior of HNTs/LLDPE nanocomposites prepared via a rotational molding process through diverse techniques, including experimental design, multi-criteria decision-making, and machine learning ...