2021
DOI: 10.1016/j.addma.2020.101800
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Ultrasonic nondestructive evaluation of laser powder bed fusion 316L stainless steel

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Cited by 35 publications
(15 citation statements)
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“…Therefore, it is very suitable for on-site testing of elastic constants. Kim et al measured ultrasonic velocity to evaluate defects and microstructural differences of AM stainless steel 316L [14]. Hu et al measured both longitudinal and transverse wave velocities, respectively, to calculate the elastic constants of the metal alloy and investigated the influence of ambient temperature [15].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is very suitable for on-site testing of elastic constants. Kim et al measured ultrasonic velocity to evaluate defects and microstructural differences of AM stainless steel 316L [14]. Hu et al measured both longitudinal and transverse wave velocities, respectively, to calculate the elastic constants of the metal alloy and investigated the influence of ambient temperature [15].…”
Section: Introductionmentioning
confidence: 99%
“…An important research area is the non-destructive inspection of adhesive joints, particularly ultrasonic evaluation. The ultrasonic testing of adhesive joints has covered many areas, including the properties of the joints themselves and the materials being joined [6][7][8]. The effects of surface roughness for bonding and hardness on ultrasonic measurements have also been studied [9,10].…”
Section: Introductionmentioning
confidence: 99%
“…For several decades, these studies have focused on metals generated using traditional manufacturing techniques. More recently, ultrasound has been applied to study different properties of additively manufactured materials [25][26][27][28][29][30]. Kim et al measured ultrasonic phase velocity and conducted XCT in laser PBF 316L stainless steel to establish correlations to pore size, density, and aspect ratio as well as grain texture [28].…”
Section: Introductionmentioning
confidence: 99%
“…More recently, ultrasound has been applied to study different properties of additively manufactured materials [25][26][27][28][29][30]. Kim et al measured ultrasonic phase velocity and conducted XCT in laser PBF 316L stainless steel to establish correlations to pore size, density, and aspect ratio as well as grain texture [28]. Park et al applied machine learning algorithms to evaluate porosity of titanium parts fabricated via laser PBF with ultrasound and noted a positive correlation between the attenuation coefficient and porosity and an inverse correlation between wave speed and porosity [27].…”
Section: Introductionmentioning
confidence: 99%