2018
DOI: 10.1117/1.oe.57.4.041415
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Utility of optical heterodyne displacement sensing and laser ultrasonics as in situ process control diagnostic for additive manufacturing

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Cited by 8 publications
(9 citation statements)
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“…The laser detection probe beam and laser source exciting the ultrasonic waves can be separated from the high temperature manufacturing process environment using optically transparent windows or other means. Laser ultrasonic techniques have been used to evaluate advanced manufacturing builds by using surface acoustic waves and bulk waves to detect surface and near subsurface defects ex situ [20][21][22][23] . Surface acoustic waves and bulk waves have also been used to evaluate material microstructure and grain size 24 , to infer the surface temperature in laserinduced thermal processes 22,25 , to predict internal temperature distributions based on waves propagating over multiple paths 26 , and to observe melting and solidi cation during crystal growth 27 .…”
Section: Introductionmentioning
confidence: 99%
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“…The laser detection probe beam and laser source exciting the ultrasonic waves can be separated from the high temperature manufacturing process environment using optically transparent windows or other means. Laser ultrasonic techniques have been used to evaluate advanced manufacturing builds by using surface acoustic waves and bulk waves to detect surface and near subsurface defects ex situ [20][21][22][23] . Surface acoustic waves and bulk waves have also been used to evaluate material microstructure and grain size 24 , to infer the surface temperature in laserinduced thermal processes 22,25 , to predict internal temperature distributions based on waves propagating over multiple paths 26 , and to observe melting and solidi cation during crystal growth 27 .…”
Section: Introductionmentioning
confidence: 99%
“…Laser ultrasonic techniques have been used to evaluate advanced manufacturing builds by using surface acoustic waves and bulk waves to detect surface and near subsurface defects ex situ [20][21][22][23] . Surface acoustic waves and bulk waves have also been used to evaluate material microstructure and grain size 24 , to infer the surface temperature in laserinduced thermal processes 22,25 , to predict internal temperature distributions based on waves propagating over multiple paths 26 , and to observe melting and solidi cation during crystal growth 27 . Finally, laser ultrasonic methods have been used for high temperature measurements of materials properties 28 and for phase transformation studies in metals [29][30][31] .…”
Section: Introductionmentioning
confidence: 99%
“…Laser ultrasonic techniques have been used to evaluate advanced manufacturing builds by using surface acoustic waves and bulk waves to detect surface and near subsurface defects ex situ 20 – 23 . Surface acoustic waves and bulk waves have also been used to evaluate material microstructure and grain size 24 , to infer the surface temperature in laser-induced thermal processes 22 , 25 , to predict internal temperature distributions based on waves propagating over multiple paths 26 , and to observe melting and solidification during crystal growth 27 . Finally, laser ultrasonic methods have been used for high temperature measurements of materials properties 28 and for phase transformation studies in metals 29 31 .…”
Section: Introductionmentioning
confidence: 99%
“…Reviews covering previous AM monitoring research and further requirements for future systems have been published by Everton et al [11], Mani et al [12], and Grasso and Colosimo [13]. On-machine measurement solutions that have been developed include co-axial [10,[14][15][16][17][18][19][20][21][22][23][24][25] and off-axis [4][5][6][26][27][28][29][30] melt pool monitoring systems, as well as thermal [31][32][33] and optical [23,[34][35][36][37] imaging of the powder bed. The target of these in-process monitoring systems is to detect defective regions of the powder bed, to inform the user that the component being built may require either corrective action or termination.…”
Section: Introductionmentioning
confidence: 99%