2019
DOI: 10.1016/j.powtec.2019.04.057
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Discrete element simulation of powder layer thickness in laser additive manufacturing

Abstract: The optimisation of the laser additive manufacturing (AM) process is a challenging task when a new material is considered. Compared to the selection of other process parameters such as laser power, scanning speed and hatch spacing, optimisation of powder layer thickness is much more time-consuming and costly because a new run is normally needed when the layer thickness value is changed. In practice, the layer thickness is fixed to a value that is slightly higher than the average particle size. This paper intro… Show more

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Cited by 84 publications
(23 citation statements)
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“…The hatch spacing values were chosen over a range that creates both laser spot overlapping (40 and 60 μm) and creates a gap between laser spots (80 and 100 μm), owing to the laser spot size (75 μm), in order to see the effect of the distance between spots on the microstructure of the as-fabricated specimens. The layer thickness was kept constant across both experiments due to the fact that using thinner layers can create voids on the deposited layer and can cause a high percentage of the powder to be pushed out of the building zone; however, using thicker layers may create short feeds, which can dramatically decrease the quality of the built part [20]. Similarly, the scanning strategy was kept constant across both experiments due to the small dimensions of the specimens.…”
Section: Manufacturing Processmentioning
confidence: 99%
“…The hatch spacing values were chosen over a range that creates both laser spot overlapping (40 and 60 μm) and creates a gap between laser spots (80 and 100 μm), owing to the laser spot size (75 μm), in order to see the effect of the distance between spots on the microstructure of the as-fabricated specimens. The layer thickness was kept constant across both experiments due to the fact that using thinner layers can create voids on the deposited layer and can cause a high percentage of the powder to be pushed out of the building zone; however, using thicker layers may create short feeds, which can dramatically decrease the quality of the built part [20]. Similarly, the scanning strategy was kept constant across both experiments due to the small dimensions of the specimens.…”
Section: Manufacturing Processmentioning
confidence: 99%
“…Nickel-based superalloys such as Hastelloy X (HX) exhibit an extraordinary combination of oxidation resistance, formability, and mechanical properties in the temperature range of 540-1000°C. For these reasons, such materials are widely applied in gas turbine engine components [8][9] [10].…”
Section: Introductionmentioning
confidence: 99%
“…Across the community, every possible characteristic of bulk mechanical properties is being analysed in an attempt to characterise features of powder properties which give uniform spreading (e.g. Nguyen et al, 2017;Carrozza, 2017;Han et al, 2019). However, the recent work of Nan et al (2018) shows that uniform spreading is affected by transient jamming and arching.…”
Section: Powder Spreadability Testers For Additive Manufacturingmentioning
confidence: 99%
“…Haeri (2017) identified the optimum blade tip shape to produce a spread particle layer with volume fraction and surface roughness comparable to a roller at the actual operation conditions. Geer et al (2018) and Han et al (2019) measured the repose angle and pile bulk density of metal powders, and then used DEM simulations to calibrate and characterise the sliding and rolling friction coefficient and surface energy of the powder to be used in their simulations of the spreading process. Desai et al (2019) also developed a DEM calibration method based on angle of repose testing and powder rheometry for AM, which was designed around multiple characterization experiments applicable to the spreading step.…”
Section: Powder Spreadability Testers For Additive Manufacturingmentioning
confidence: 99%