2016
DOI: 10.1016/j.procir.2016.02.058
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Prediction of Residual Stress and Part Distortion in Selective Laser Melting

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Cited by 104 publications
(78 citation statements)
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“…Stress models built using ANSYS include those models developed by Zaeh and Branner [66] and Gu and He [67]. The studies by Li et al [68,69], Parry et al [70] and Vastola et al [71] were multiscale finite element models for fast and efficient prediction of part distortion, primarily intended to inform part designers and engineers.…”
Section: Stress and Distortion Modelsmentioning
confidence: 99%
“…Stress models built using ANSYS include those models developed by Zaeh and Branner [66] and Gu and He [67]. The studies by Li et al [68,69], Parry et al [70] and Vastola et al [71] were multiscale finite element models for fast and efficient prediction of part distortion, primarily intended to inform part designers and engineers.…”
Section: Stress and Distortion Modelsmentioning
confidence: 99%
“…Stress models built using ANSYS include those models developed by Zaeh & Branner [66] and Gu & He [67]. The studies by Li et al [68][69], Parry et al [70], and Vastola et al [71] were multiscale finite element models for fast and efficient prediction of part distortion, primarily intended to inform part designers and engineers.…”
Section: Stress and Distortion Modelsmentioning
confidence: 99%
“…Once the build is completed, excess powder need to be removed, and the parts fabricated must be detached from the substrate. Usually this last operation is made after a stress relieving heat treatment, performed to release the thermal stresses that arise during the L-PBF process, which otherwise could lead to deformation of the parts and to loose dimensional tolerances [12,13]. Finally, a post-process treatment like a grit blasting, also called micro-shot peening, is suggested to remove from the surface the sticky particles, which are not melt but only adhere to the surface, and to reduce the surface roughness of the parts [14].…”
Section: Introductionmentioning
confidence: 99%