Optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density
In-situ monitoring systems for additive manufacturing processes drive the possibility for identification of defects during printing, rendering both time and cost savings as the process can be stopped if a failure is detected. However, the relationship between defects identified during printing to th...
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sg-ntu-dr.10356-1423122021-02-09T09:22:11Z Optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density Lu, Qing Yang Nguyen, N. V. Hum, A. J. W. Tran, Tuan Wong, Chee How School of Mechanical and Aerospace Engineering Singapore Centre for 3D Printing Engineering::Mechanical engineering In-situ Monitoring Additive Manufacturing In-situ monitoring systems for additive manufacturing processes drive the possibility for identification of defects during printing, rendering both time and cost savings as the process can be stopped if a failure is detected. However, the relationship between defects identified during printing to the actual mechanical performance of the printed part has yet to be established. In this paper, we report the design and development of an optical based image processing in-situ monitoring system implemented on the selective laser melting process. The system consisted of an optical camera, a mirror and a set of light emitting diode lights. 316 L stainless steel specimens were fabricated with varying energy densities. Features captured in the optical images during printing were identified and quantified by image processing techniques. Results from density tests based on Archimedes’ principle and mechanical properties from tensile tests have demonstrated a correlation with the processed optical images of the specimens, validating the potential of inferring mechanical performance of printed parts based on features identified through the optical based image processing in-situ monitoring system. Accepted version 2020-06-19T02:11:40Z 2020-06-19T02:11:40Z 2019 Journal Article Lu, Q. Y., Nguyen, N. V., Hum, A. J. W., Tran, T., & Wong, C. H. (2019). Optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density. Journal of Materials Processing Technology, 271, 520-531. doi:10.1016/j.jmatprotec.2019.04.026 0924-0136 https://hdl.handle.net/10356/142312 10.1016/j.jmatprotec.2019.04.026 2-s2.0-85067963678 271 520 531 en Journal of Materials Processing Technology © 2019 Elsevier B.V. All rights reserved. This paper was published in Journal of Materials Processing Technology and is made available with permission of Elsevier B.V. application/pdf |
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Engineering::Mechanical engineering In-situ Monitoring Additive Manufacturing Lu, Qing Yang Nguyen, N. V. Hum, A. J. W. Tran, Tuan Wong, Chee How Optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density |
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In-situ monitoring systems for additive manufacturing processes drive the possibility for identification of defects during printing, rendering both time and cost savings as the process can be stopped if a failure is detected. However, the relationship between defects identified during printing to the actual mechanical performance of the printed part has yet to be established. In this paper, we report the design and development of an optical based image processing in-situ monitoring system implemented on the selective laser melting process. The system consisted of an optical camera, a mirror and a set of light emitting diode lights. 316 L stainless steel specimens were fabricated with varying energy densities. Features captured in the optical images during printing were identified and quantified by image processing techniques. Results from density tests based on Archimedes’ principle and mechanical properties from tensile tests have demonstrated a correlation with the processed optical images of the specimens, validating the potential of inferring mechanical performance of printed parts based on features identified through the optical based image processing in-situ monitoring system. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Lu, Qing Yang Nguyen, N. V. Hum, A. J. W. Tran, Tuan Wong, Chee How |
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Lu, Qing Yang Nguyen, N. V. Hum, A. J. W. Tran, Tuan Wong, Chee How |
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Lu, Qing Yang |
title |
Optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density |
title_short |
Optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density |
title_full |
Optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density |
title_fullStr |
Optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density |
title_full_unstemmed |
Optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density |
title_sort |
optical in-situ monitoring and correlation of density and mechanical properties of stainless steel parts produced by selective laser melting process based on varied energy density |
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2020 |
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https://hdl.handle.net/10356/142312 |
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1692012904971239424 |