Improving resources consumption of additive manufacturing use during early design stages: a case study

Abstract

and is Associate Researcher in the Biomaterials and Interfaces Research Unit (URB2I). Her research focuses on knowledge management for design with/for X strategies improvement by considering final user attributes for the development of adequate design tool.

Analysis of factors influencing energy consumption of material extrusion-based additive manufacturing using interpretive structural modelling

“…When moving onto continuous part fabrication without making rest, the energy consumption got reduced and shorter setup time was observed during the second build (Balogun et al , 2015). Laverne et al (2019) observed that printing the part with more than one part could save energy during product manufacturing, and during this condition, warmup and setup time of both stages are reduced. The next stage of MEX process is printing stage or part building.…”

“…Mognol et al (2006) measured energy consumption of MEX process with different part orientations and positions. Laverne et al (2019) observed energy consumption with different orientations. It was found from the results that poor orientation consumed more energy and it got increased from 3% to 231%.…”

“…Laverne et al (2019) compared resource consumption (model material, support material and energy consumption) of four different FDM machines. It was found from the results that parameters such as infill density, support style, build orientation, model scale and layer height played major role in resource consumption.…”

“…Printing time depends on part orientation, complexity of part and part infill options (solid or hollow). Many researchers (Peng, 2019; Laverne et al , 2019) have attempted to reduce printing time with layer thickness, print speed, infill density and part orientation. Mognol et al (2006) measured energy consumption of MEX process with different part orientations and positions.…”

“…It was found from the results that poor orientation consumed more energy and it got increased from 3% to 231%. Lower infill options may reduce energy consumption, but it will lead to poor mechanical performance (Laverne et al , 2019; Peng, 2019). In the part geometry perspective, alternative designs or optimized shapes may reduce the print time.…”