On the possibilities of merging additive manufacturing and powder injection molding in the production of metal parts

材料科学 选择性激光烧结 造型(装饰) 挤压 极限抗拉强度 金属注射成型 流变学 直接金属激光烧结 原材料 烧结 复合材料 3D打印 注塑成型 产量(工程) 微观结构 有机化学 化学
作者
Martin Novák,Berenika Hausnerová,Vladimír Pata,Daniel Sanétrník
出处
期刊:Rapid Prototyping Journal [Emerald (MCB UP)]
卷期号:30 (11): 50-58 被引量:5
标识
DOI:10.1108/rpj-02-2023-0047
摘要

Purpose This study aims to enhance merging of additive manufacturing (AM) techniques with powder injection molding (PIM). In this way, the prototypes could be 3D-printed and mass production implemented using PIM. Thus, the surface properties and mechanical performance of parts produced using powder/polymer binder feedstocks [material extrusion (MEX) and PIM] were investigated and compared with powder manufacturing based on direct metal laser sintering (DMLS). Design/methodology/approach PIM parts were manufactured from 17-4PH stainless steel PIM-quality powder and powder intended for powder bed fusion compounded with a recently developed environmentally benign binder. Rheological data obtained at the relevant temperatures were used to set up the process parameters of injection molding. The tensile and yield strengths as well as the strain at break were determined for PIM sintered parts and compared to those produced using MEX and DMLS. Surface properties were evaluated through a 3D scanner and analyzed with advanced statistical tools. Findings Advanced statistical analyses of the surface properties showed the proximity between the surfaces created via PIM and MEX. The tensile and yield strengths, as well as the strain at break, suggested that DMLS provides sintered samples with the highest strength and ductility; however, PIM parts made from environmentally benign feedstock may successfully compete with this manufacturing route. Originality/value This study addresses the issues connected to the merging of two environmentally efficient processing routes. The literature survey included has shown that there is so far no study comparing AM and PIM techniques systematically on the fixed part shape and dimensions using advanced statistical tools to derive the proximity of the investigated processing routes.

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