Automatic determination of part build orientation for laser powder bed fusion

Yuchu Qin, Qunfen Qi, Peizhi Shi, Paul Scott, Jane Jiang

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)29-49
Number of pages21
JournalVirtual and Physical Prototyping
Issue number1
Early online date15 Oct 2020
Publication statusPublished - 2 Jan 2021


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