2013
DOI: 10.26153/tsw/15572
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Influences of Energy Density on Porosity and Microstructure of Selective Laser Melted 17- 4PH Stainless Steel

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Cited by 7 publications
(5 citation statements)
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“…Similar conclusions are drawn from the relevant references. 26,27 However, similar conclusions could not be obtained for the fluctuation of UTS with the layer thickness. When layer thickness is increased up to a modest level, the UTS of the samples increases, and as layer thickness is increased further, the UTS reduces.…”
Section: Variation Of Process Parameters On Ultimate Tensile Strengthmentioning
confidence: 79%
“…Similar conclusions are drawn from the relevant references. 26,27 However, similar conclusions could not be obtained for the fluctuation of UTS with the layer thickness. When layer thickness is increased up to a modest level, the UTS of the samples increases, and as layer thickness is increased further, the UTS reduces.…”
Section: Variation Of Process Parameters On Ultimate Tensile Strengthmentioning
confidence: 79%
“…MEX, PIM PIM , PIM DMLS , DMLS and DMLS Blasted revealed values of 7.33 ± 0.20, 7.23 ± 0.04, 7.11 ± 0.05, 7.83 ± 0.02 and 7.85 ± 0.02 g/cm 3 , respectively. The values of DMLS and DMLS Blasted are higher than 7.8 g/cm 3 of standardly machined 17–4PH steel according to the data sheet [1], which is in accordance with Gu et al (2013). Relative densities of samples are then 94.0, 92.7, 91.1, 100.4 and 100.6% for MEX, PIM PIM , PIM DMLS , DMLS and DMLS Blasted , respectively, of the traditionally made 17–4 PH steel.…”
Section: Methodsmentioning
confidence: 99%
“…This means that simply correlating the density of the printed part with the laser input energy density is not enough, and the underlying values of power and scan speeds are necessary. Additionally, it has been shown by Gu et al [26] that for a different stainless steel alloy, the porosity will vary significantly, even if the same energy density is used, if the scan speed and laser power are different, furthering the notion that energy density should not be used as the sole parameter to predict build quality, at least not in this simplistic form.…”
Section: Optimal Processing Parametersmentioning
confidence: 99%