Accelerating Layered Manufacturing-Based 3D Printing through Optimized Non-Printing Travel-Path Planning and Infill Strategies

Abstract

This paper presents a rapid 3D printing framework that enhances the efficiency of commercially available layered manufacturing-based 3D printers. Unlike traditional methods that simplify printing regions to a single point or rely on predefined entry and exit points, our approach utilizes an improved Traveling Salesman Problem (TSP) algorithm to autonomously generate an optimized, cyclic printing path, while automatically assigning entry and exit points for each region. This minimizes non-printing paths and improves efficiency. Additionally, we propose a principal axis calculation method for irregular shapes, aligning better with geometric orientation. This optimization enhances infill uniformity and surface smoothness. Simulations and experimental results demonstrate that the proposed framework improves printing efficiency while maintaining print quality, with promising applicability to large-scale and complex 3D printing models.