TY - JOUR
T1 - Simultaneous extraction of profile and surface roughness of 3D SLM components using fringe projection method
AU - Chen, Terry Yuan Fang
AU - Lo, Yu Lung
AU - Lin, Ze Hong
AU - Lin, Jui Yu
N1 - Funding Information:
The authors gratefully acknowledge the financial support provided to this study by the Ministry of Science and Technology of Taiwan under Grant No. MOST 107-2218-E-006-051. The research was also supported in part by the funding provided by the Ministry of Education, Taiwan, Headquarters of University Advancement, to the Intelligent Manufacturing Research Center (iMRC) at National Cheng Kung University (NCKU).
Publisher Copyright:
© 2021, Emerald Publishing Limited.
PY - 2022/3/29
Y1 - 2022/3/29
N2 - Purpose: The purpose of this study was expected to simultaneously monitor the surface roughness of each solidified layer, the surface roughness of the metal powder, the outline of the solidified layer, and the height difference between the solidified layer and the metal powder. Design/methodology/approach: In the proposed approach, color images with red, green and blue fringes are used to measure the shape of the built object using a three-step phase-shift algorithm and phase-unwrapping method. In addition, the surface roughness is extracted from the speckle information in the captured image using a predetermined autocorrelation function. Findings: The feasibility and accuracy of the proposed system were validated by comparing it with a commercial system for an identical set of samples fabricated by a selective laser melting process. The maximum and minimum errors between the two systems are approximately 24% and 0.8%, respectively. Originality/value: In the additive manufacturing field, the authors are the first to use fringe detection technology to simultaneously measure the profile of the printed layer and its surface roughness.
AB - Purpose: The purpose of this study was expected to simultaneously monitor the surface roughness of each solidified layer, the surface roughness of the metal powder, the outline of the solidified layer, and the height difference between the solidified layer and the metal powder. Design/methodology/approach: In the proposed approach, color images with red, green and blue fringes are used to measure the shape of the built object using a three-step phase-shift algorithm and phase-unwrapping method. In addition, the surface roughness is extracted from the speckle information in the captured image using a predetermined autocorrelation function. Findings: The feasibility and accuracy of the proposed system were validated by comparing it with a commercial system for an identical set of samples fabricated by a selective laser melting process. The maximum and minimum errors between the two systems are approximately 24% and 0.8%, respectively. Originality/value: In the additive manufacturing field, the authors are the first to use fringe detection technology to simultaneously measure the profile of the printed layer and its surface roughness.
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U2 - 10.1108/RPJ-06-2021-0132
DO - 10.1108/RPJ-06-2021-0132
M3 - Article
AN - SCOPUS:85118991337
SN - 1355-2546
VL - 28
SP - 789
EP - 801
JO - Rapid Prototyping Journal
JF - Rapid Prototyping Journal
IS - 4
ER -