Integration of nanomaterials in FDM for enhanced surface properties: Optimized manufacturing approaches

Abstract

This article presents a comprehensive review of advanced techniques for integrating nanomaterials into fused deposition modeling (FDM) processes, addressing prevalent challenges such as limited surface quality and wear resistance in traditional FDM-printed parts. The integration of nanomaterials offers potential solutions to these issues by enhancing surface properties. This review explores key methodologies, including direct nanoparticle mixing with polymer filaments, in-situ polymerization, and surface coating techniques, and demonstrates their impact on improving surface roughness and wear resistance. Specifically, nanomaterial-enhanced composites achieve up to a 30% reduction in surface roughness and a 40% improvement in wear resistance compared to conventional materials. To optimize manufacturing processes, we apply the Taguchi method to identify critical process parameters such as extrusion temperature, print speed, layer thickness, and nanoparticle concentration that influence surface properties. Our simulations and analysis of variance (ANOVA) indicate that optimal settings can enhance surface quality by 25% and improve wear resistance by 35%. The proposed methodologies and theoretical framework lay the groundwork for experimental validation, which will involve testing the optimized parameters and assessing their practical impact. This research advances the field of additive manufacturing by providing novel insights into nanomaterial integration, paving the way for improved FDM technology with applications spanning aerospace, biomedical engineering, and beyond. The findings contribute significantly to overcoming existing limitations and enhancing the performance of FDM-printed parts.