Abstract

Additive manufacturing (AM) or three-dimensional printing (3DP) refers to producing objects from digital information layer by layer. Despite recent advancements in AM, process planning in AM has not received much attention compared to subtractive manufacturing. One of the critical process planning issues in AM is deciding part orientation. In this research, the integrative framework of multicriteria decision making for part orientation analysis in AM is investigated. Initially, quantitative data are assessed using the data envelopment analysis (DEA) technique without preferences from a decision maker. In contrast, a decision maker’s preferences are qualitatively analysed using the analytic hierarchy process (AHP) technique. Then, the proposed framework combining explicit data as in DEA, implicit preference as in AHP, and linear normalization (LN) technique is used, which reflects both preference and objective data in supporting decision making for 3DP part orientation. Two particular AM technologies, namely Fused Deposition Modelling and Selective Laser Sintering, are used as a case study to illustrate the proposed algorithm, which is further verified with experts to improve process planning for AM.

中文翻译：

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增材制造中零件方向分析的多准则决策分析框架

摘要

增材制造 (AM) 或三维打印 (3DP) 是指通过数字信息逐层生产物体。尽管增材制造最近取得了进展，但与减材制造相比，增材制造中的工艺规划并未受到太多关注。AM 中的关键工艺规划问题之一是确定零件方向。在这项研究中，研究了用于 AM 中零件方向分析的多标准决策的综合框架。最初，在没有决策者偏好的情况下，使用数据包络分析 (DEA) 技术评估定量数据。相比之下，决策者的偏好使用层次分析法 (AHP) 技术进行定性分析。然后，提出的框架结合了 DEA 中的显式数据，AHP 中的隐式偏好，使用线性归一化 (LN) 技术，该技术反映了支持 3DP 零件方向决策的偏好和客观数据。两种特殊的 AM 技术，即熔融沉积建模和选择性激光烧结，被用作案例研究来说明所提出的算法，并与专家进一步验证，以改进 AM 的工艺规划。