Energy performance-oriented design candidate selection approach for additive manufacturing using toolpath length comparison method. (August 2022)

• Record Type: Journal Article
• Authors: Yi, Li; Ravani, Bahram; Aurich, Jan C.
• Is Part Of: Manufacturing letters. Volume 33(2022)
• Page Start: 5
• Page End: 10
• Publication Date: 2022-08
• Subjects: Additive manufacturing -- Product design -- Energy performance; Manufacturing industries -- Periodicals; Production engineering -- Periodicals; Manufacturing industries; Periodicals; 670
• DOI: 10.1016/j.mfglet.2022.06.001
• Languages: English
• ISSNs: 2213-8463

Abstract

Highlights: We propose an approach to improve the energy performance in product design for AM. The energy demand of AM process has inherent relation to the tool path of AM tool. Our approach adopts topology optimization and tool path comparison method. The energy reduction rates for ME and L-PBF processes are 11% and 5% respectively. Abstract: To ensure environmental benefits of additive manufacturing (AM), the energy performance should be optimized in the product design for AM (DfAM). We are proposing a new approach to select the design candidate (DC) for AM with the highest energy performance. In the first stage, multiple DCs are generated using topology optimization. In the second stage, the energy performance of each DC is evaluated based on the Toolpath-Length-Comparison (ToPaLC) method, in which the toolpath lengths of all DCs are calculated and compared. The candidate with the minimum path length is selected as the final design solution with the highest energy performance.