An Optimal Filling Path Planning Based on Principal Component Analysis

Abstract

With the development of 3D printing technology, people put forward higher requirements for molding quality and efficiency. In the whole printing system, the design of scanning path directly affects the geometric accuracy, strength and molding efficiency of products. Simple parallel path and contour path can no longer meet the needs of manufacturing industry. In this paper, a new filling algorithm is proposed. On the basis of continuous filling without pause, the connection of sub-regions is realized by using Fermat spiral. The new algorithm integrates convex decomposition, PCA, variable spacing filling and other operations to further improve the printing efficiency. Finally, the superiority of the new algorithm is verified by comparing with the common algorithm.