Abstract
ABSTRACT In this paper, an automatic determination method of part build orientation for laser powder bed fusion is presented. This method includes two steps. First, an existing facet clustering-based approach is applied to automatically generate the alternative orientations of a laser powder bed fusion part. Second, support volume, volumetric error, surface roughness, build time and build cost are considered. Their values in each alternative orientation are estimated by certain estimation models. The weights of these factors are determined via pairwise comparison. The weighted sum model is used to calculate a summary value of the factors in each alternative orientation. According to the calculated summary values, an optimal orientation to build the part is generated. To demonstrate the method, a set of part orientation cases are tested, and effectiveness analysis and efficiency and characteristic comparisons are reported. The demonstration results suggest that the proposed method can work for both regular and freeform surface models, produce stable and reasonable results and provide desired efficiency.
Highlights
Additive manufacturing (AM), historically known as rapid prototyping, is a set of processes for making three-dimensional (3D) parts from 3D model data via joining materials in a layer upon layer manner (ISO/ASTM 52900, 2015)
computer-aided design (CAD) modelling is performed in a CAD system based on the result of conceptual design and outputs a tessellated 3D model of the product, which is generally encoded in STL, OBJ (Wavefront object), 3MF (3D manufacturing format) or AMF format (Qin et al, 2019b)
An automatic determination method of part build orientation for laser powder bed fusion (LPBF) has been proposed. This method includes a step of alternative orientation generation and a step of optimal orientation selection
Summary
Yuchu Qin is currently a PhD candidate and a part-time research fellow at the EPSRC Future Advanced Metrology Hub, University of Huddersfield, UK. Peizhi Shi is currently a research fellow at the EPSRC Future Advanced Metrology Hub, University of Huddersfield, UK He received a PhD degree in Computer Science from School of Computer Science, the University of Manchester, UK in 2019, a Master's degree in Software Engineering from the University of Science and Technology of China in 2013, and a BSc degree in Computer Science and Technology from Guilin University of Electronic Technology, China in 2010. His research interests are in manufacturing informatics, geometrical product specifications and verification, philosophy of the measurement of product geometry, and foundations of specifying and characterising solutions for real world industrial problems He was the project leader for twenty published ISO standards and is currently working on four new ISO documents. Keywords — Laser powder bed fusion; Computer-aided part orientation; Process planning; Alternative orientation; Optimal orientation
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