Conversion of in-process optical and thermal data into a single 3D file representing printing process in powder bed fusion

Rapid development of additive manufacturing (AM) technologies leads to an increasing demand for quality control of printed parts. While in-process monitoring systems and post-testing technologies have been developed to inspect the part quality, there is not yet a well-established method that specifi...

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Main Authors: Zhang, Xuan, Nguyen, Ngoc-Vu, Tran, Tuan
Other Authors: N. Shamsaei
Format: Book Chapter
Language:English
Published: ASTM International 2022
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Online Access:https://hdl.handle.net/10356/161023
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1610232022-08-19T06:20:58Z Conversion of in-process optical and thermal data into a single 3D file representing printing process in powder bed fusion Zhang, Xuan Nguyen, Ngoc-Vu Tran, Tuan N. Shamsaei M. Seifi School of Mechanical and Aerospace Engineering Singapore Centre for 3D Printing Engineering::Mechanical engineering Additive Manufacturing In-Process Monitoring Rapid development of additive manufacturing (AM) technologies leads to an increasing demand for quality control of printed parts. While in-process monitoring systems and post-testing technologies have been developed to inspect the part quality, there is not yet a well-established method that specifies the procedures and requirements to convert the extracted in-process layer-wise information into a single 3D file for quality evaluation and control. In this study, an off-axial imaging system utilizing optical and thermal cameras is deployed to acquire in-process optical and thermal images of the Powder Bed Fusion (PBF) process. Image registration and analyses are then performed on the acquired images to extract the in-process layer-wise data (e.g., coordinates, gray value, and temperature) associated with the printing process. Based on a comparison of file formats commonly used in industrial software, we select the Extensible Markup Language (XML) file format, which is specified by post-processing software, and further propose procedures for constructing a single 3D file from the in-process data to represent the printing process and evaluate the printing quality. This work provides guidelines for conversion of in-process data into 3D files and contributes to in-process monitoring and quality control of AM manufactured parts. Submitted/Accepted version 2022-08-19T06:20:58Z 2022-08-19T06:20:58Z 2022 Book Chapter Zhang, X., Nguyen, N. & Tran, T. (2022). Conversion of in-process optical and thermal data into a single 3D file representing printing process in powder bed fusion. N. Shamsaei & M. Seifi (Eds.), Progress in Additive Manufacturing 2020 (pp. 75-91). ASTM International. https://hdl.handle.net/10356/161023 978-0-8031-7721-5 https://hdl.handle.net/10356/161023 10.1520/STP163720210019 10.1520/STP1637-EB 75 91 en Progress in Additive Manufacturing 2020 This is the accepted version of an article published in Progress in Additive Manufacturing 2020, Copyright @ 2022, ASTM International, West Conshohocken, PA, 75-91, http://dx.doi.org/10.1520/ STP163720210019. application/pdf ASTM International
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Additive Manufacturing
In-Process Monitoring
spellingShingle Engineering::Mechanical engineering
Additive Manufacturing
In-Process Monitoring
Zhang, Xuan
Nguyen, Ngoc-Vu
Tran, Tuan
Conversion of in-process optical and thermal data into a single 3D file representing printing process in powder bed fusion
description Rapid development of additive manufacturing (AM) technologies leads to an increasing demand for quality control of printed parts. While in-process monitoring systems and post-testing technologies have been developed to inspect the part quality, there is not yet a well-established method that specifies the procedures and requirements to convert the extracted in-process layer-wise information into a single 3D file for quality evaluation and control. In this study, an off-axial imaging system utilizing optical and thermal cameras is deployed to acquire in-process optical and thermal images of the Powder Bed Fusion (PBF) process. Image registration and analyses are then performed on the acquired images to extract the in-process layer-wise data (e.g., coordinates, gray value, and temperature) associated with the printing process. Based on a comparison of file formats commonly used in industrial software, we select the Extensible Markup Language (XML) file format, which is specified by post-processing software, and further propose procedures for constructing a single 3D file from the in-process data to represent the printing process and evaluate the printing quality. This work provides guidelines for conversion of in-process data into 3D files and contributes to in-process monitoring and quality control of AM manufactured parts.
author2 N. Shamsaei
author_facet N. Shamsaei
Zhang, Xuan
Nguyen, Ngoc-Vu
Tran, Tuan
format Book Chapter
author Zhang, Xuan
Nguyen, Ngoc-Vu
Tran, Tuan
author_sort Zhang, Xuan
title Conversion of in-process optical and thermal data into a single 3D file representing printing process in powder bed fusion
title_short Conversion of in-process optical and thermal data into a single 3D file representing printing process in powder bed fusion
title_full Conversion of in-process optical and thermal data into a single 3D file representing printing process in powder bed fusion
title_fullStr Conversion of in-process optical and thermal data into a single 3D file representing printing process in powder bed fusion
title_full_unstemmed Conversion of in-process optical and thermal data into a single 3D file representing printing process in powder bed fusion
title_sort conversion of in-process optical and thermal data into a single 3d file representing printing process in powder bed fusion
publisher ASTM International
publishDate 2022
url https://hdl.handle.net/10356/161023
_version_ 1743119538596085760