Investigations into nondestructive evaluation and surface metrology of 3D printed parts using optical techniques

Surface metrology of 3D printed parts is a powerful exploration tool, improving process knowledge to develop improved additive manufacturing processes for producing specification-compliant parts. It is the science that focuses on micro-scale surface features and their measurement. The quality of 3D...

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Main Author: Rukundo Simeon
Other Authors: Murukeshan Vadakke Matham
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
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Online Access:https://hdl.handle.net/10356/176760
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1767602024-05-25T16:52:47Z Investigations into nondestructive evaluation and surface metrology of 3D printed parts using optical techniques Rukundo Simeon Murukeshan Vadakke Matham School of Mechanical and Aerospace Engineering Centre for Optical and Laser Engineering MMurukeshan@ntu.edu.sg Engineering Physics Laser, patterns Spectral imaging Metrology Optics Resolution Post-processing 3D printing Additive manufacturing Surface metrology of 3D printed parts is a powerful exploration tool, improving process knowledge to develop improved additive manufacturing processes for producing specification-compliant parts. It is the science that focuses on micro-scale surface features and their measurement. The quality of 3D printed parts mainly depends on the 3D printing technology employed, the printer quality, and the build material. In this research, the surface roughness is characterized using non-contact optical methods and compared with a conventional stylus. Compared to the conventional stylus method, optical techniques are more advantageous owing to their non-destructive nature and accurate characterization. One of the optical methods used is a commercial optical profiler that uses a confocal technique to acquire a three-dimensional (3D) map of the surface. The research will also investigate surface material characteristics of 3D printed parts. This research also deals with the optimization of speckle-based Structured Illumination Microscope, a technique traditionally challenged by its speed in high-throughput environments. By employing various pattern projections, such as concentric rings, grids, and checkerboards, this research significantly provided improved contrast images that can further be used for roughness quantification. This optimization not only reduces the imaging and processing times but also improves the contrast and detail resolution of captured images, thereby accelerating the evaluation process without compromising the depth of surface analysis. Furthermore, the research explores the application of spectral imaging to assess surface contamination and post-processing effects, providing a comprehensive understanding of their impact on surface quality. Current methods in 3D printing inspection rely on RGB cameras, lacking sensitivity to detect defects such as corrosion or oxidation at early stages. In this context, this research proposes and demonstrates the use of spectral imaging integrated with SAM algorithm which can serve as a solution for automated detection of corrosion with high sensitivity. This research investigates surface measurement approaches in 3D printing and sets an example for future studies aiming to improve additive manufacturing. It highlights the importance of advanced non-destructive surface analysis techniques for ensuring product quality in 3D printed samples. Master's degree 2024-05-22T23:38:07Z 2024-05-22T23:38:07Z 2024 Thesis-Master by Coursework Rukundo Simeon (2024). Investigations into nondestructive evaluation and surface metrology of 3D printed parts using optical techniques. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176760 https://hdl.handle.net/10356/176760 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Physics
Laser, patterns
Spectral imaging
Metrology
Optics
Resolution
Post-processing
3D printing
Additive manufacturing
spellingShingle Engineering
Physics
Laser, patterns
Spectral imaging
Metrology
Optics
Resolution
Post-processing
3D printing
Additive manufacturing
Rukundo Simeon
Investigations into nondestructive evaluation and surface metrology of 3D printed parts using optical techniques
description Surface metrology of 3D printed parts is a powerful exploration tool, improving process knowledge to develop improved additive manufacturing processes for producing specification-compliant parts. It is the science that focuses on micro-scale surface features and their measurement. The quality of 3D printed parts mainly depends on the 3D printing technology employed, the printer quality, and the build material. In this research, the surface roughness is characterized using non-contact optical methods and compared with a conventional stylus. Compared to the conventional stylus method, optical techniques are more advantageous owing to their non-destructive nature and accurate characterization. One of the optical methods used is a commercial optical profiler that uses a confocal technique to acquire a three-dimensional (3D) map of the surface. The research will also investigate surface material characteristics of 3D printed parts. This research also deals with the optimization of speckle-based Structured Illumination Microscope, a technique traditionally challenged by its speed in high-throughput environments. By employing various pattern projections, such as concentric rings, grids, and checkerboards, this research significantly provided improved contrast images that can further be used for roughness quantification. This optimization not only reduces the imaging and processing times but also improves the contrast and detail resolution of captured images, thereby accelerating the evaluation process without compromising the depth of surface analysis. Furthermore, the research explores the application of spectral imaging to assess surface contamination and post-processing effects, providing a comprehensive understanding of their impact on surface quality. Current methods in 3D printing inspection rely on RGB cameras, lacking sensitivity to detect defects such as corrosion or oxidation at early stages. In this context, this research proposes and demonstrates the use of spectral imaging integrated with SAM algorithm which can serve as a solution for automated detection of corrosion with high sensitivity. This research investigates surface measurement approaches in 3D printing and sets an example for future studies aiming to improve additive manufacturing. It highlights the importance of advanced non-destructive surface analysis techniques for ensuring product quality in 3D printed samples.
author2 Murukeshan Vadakke Matham
author_facet Murukeshan Vadakke Matham
Rukundo Simeon
format Thesis-Master by Coursework
author Rukundo Simeon
author_sort Rukundo Simeon
title Investigations into nondestructive evaluation and surface metrology of 3D printed parts using optical techniques
title_short Investigations into nondestructive evaluation and surface metrology of 3D printed parts using optical techniques
title_full Investigations into nondestructive evaluation and surface metrology of 3D printed parts using optical techniques
title_fullStr Investigations into nondestructive evaluation and surface metrology of 3D printed parts using optical techniques
title_full_unstemmed Investigations into nondestructive evaluation and surface metrology of 3D printed parts using optical techniques
title_sort investigations into nondestructive evaluation and surface metrology of 3d printed parts using optical techniques
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176760
_version_ 1800916104453816320