Sustainable additive manufacturing with FDM: Taguchi-based parameter optimization and AI-driven prediction of mechanical and environmental metrics

Osman Ulkir, Arif Karadağ, Department of Electric and Energy, Mus Alparslan University, Department of Motor Vehicles and Transportation Technologies, Mus Alparslan University

Journal of Thermoplastic Composite Materials

Published online on January 08, 2026

Abstract

Journal of Thermoplastic Composite Materials, Ahead of Print.
Additive manufacturing (AM), particularly fused deposition modeling (FDM), has emerged as a transformative technique for producing customized, lightweight, and environmentally sustainable components. However, identifying optimal process parameters that ...