Enhancing 3D Printing Performance by Modelling Different Geometric Shapes

Abstract

3D printing is an innovative technology that enables the fabrication of three-dimensional objects from digital models, revolutionizing the fields of manufacturing, design, and creativity. This study focuses on modelling design structures using computer-aided design (CAD) and fine-tuning print settings to optimize outcomes using additive manufacturing (AM) techniques. Specifically, it investigates the printing parameters of two commonly used filaments: polylactic acid (PLA) and polyethylene terephthalate glycol (PETG), within the context of filament deposition modelling (FDM) technology. The research aims to provide a detailed analysis of the printing behaviours of polylactic acid and polyethylene terephthalate glycol, highlighting their print quality and industrial applications. Through experimental modelling and the use of Ultimaker Cura Slicing Software, the study explores how adjusting parameters such as temperature, speed, layer height, and infill patterns can significantly impact the final product. Additionally, the study discussed techniques for creating surface textures and appearances that leverage the unique characteristics of each filament type. Findings underscore the critical role of slicing software, hardware settings, and material choice in enhancing print precision and overall quality. By systematically comparing polylactic acid and polyethylene terephthalate glycol under varying conditions, the research offers practical insights into selecting appropriate filament types for specific project needs, ultimately improving the success rate and efficiency of 3D printing initiatives. This work contributes to a broader understanding of material behaviour in additive manufacturing and opens new avenues for innovation in industrial applications.