A method for energy modeling and simulation implementation of machine tools of selective laser melting. (1st August 2020)

• Record Type: Journal Article
• Authors: Yi, Li; Glatt, Moritz; Thomas Kuo, Tai-Yen; Ji, Ankyd; Ravani, Bahram; Aurich, Jan C.
• Is Part Of: Journal of cleaner production. Volume 263(2020)
• Publication Date: 2020-08-01
• Subjects: Additive manufacturing -- Selective laser melting -- Power flow modeling -- Energy simulation -- Bond graph; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2020.121282
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Additive manufacturing (AM) technologies are providing promising solutions to production of unique parts at reduced material and energy consumptions. However, recent studies show that the sustainable advantage of AM is not always achieved. For ensuring the sustainability of the AM processes, quantification and assessment of the levels of resource consumptions should be carried out at the design phase. To enable the energy prediction and evaluation of AM, this work proposes a method for energy modeling and simulation implementation of AM machines and applies the method to a machine tool of selective laser melting (SLM). Furthermore, the developed simulation approach is validated using an experimental comparison and has been applied in a use case to realize an energy efficiency-oriented AM process design.