Surface roughness evaluation of additive manufactured components using fiberscopes
Additive Manufacturing (AM) processes have revolutionized traditional manufacturing methods, offering unique advantages in terms of design flexibility, rapid prototyping, and material efficiency. Surface roughness is a crucial factor in engineering industries, especially in aerospace and autom...
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2024
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sg-ntu-dr.10356-1761582024-05-18T16:52:31Z Surface roughness evaluation of additive manufactured components using fiberscopes Seah, Benjamin Yan Hui Murukeshan Vadakke Matham School of Mechanical and Aerospace Engineering MMurukeshan@ntu.edu.sg Engineering Additive manufacturing Additive Manufacturing (AM) processes have revolutionized traditional manufacturing methods, offering unique advantages in terms of design flexibility, rapid prototyping, and material efficiency. Surface roughness is a crucial factor in engineering industries, especially in aerospace and automobile as it can affect factors such as friction, wear resistance and material fatigue life. Several methods are available to measure the surface roughness of the components, but most of them have limited ability to measure the surface roughness of complex structures. There is an urgent need for a flexible probe for measuring surface structures of complex structures like internal channels of engines is necessary. This work reports a method to measure the surface roughness of complex components by using a flexible fiberscope. A 0.3 mm diameter fiberscope is used to collect the speckle patterns created by laser from the samples. The fiberscope contains 1600 picture elements which gives a pixel to pixel spacing of 3.3 µm. Multiple image processing algorithms are used to remove the comb structures formed by the picture elements of the fiberscope. The surface roughness of the samples is estimated by angular speckle correlation. Standard comparator plates are used to calibrate the system, and the calibration graph is plotted for different surface roughness values. The surface roughness of unknown samples and complex channels is estimated by using the calibration curve. This method provides an accurate measurement of the surface roughness of the internal channels, which are not accessible by conventional measurement techniques. Bachelor's degree 2024-05-14T01:19:40Z 2024-05-14T01:19:40Z 2024 Final Year Project (FYP) Seah, B. Y. H. (2024). Surface roughness evaluation of additive manufactured components using fiberscopes. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176158 https://hdl.handle.net/10356/176158 en application/pdf Nanyang Technological University |
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Engineering Additive manufacturing Seah, Benjamin Yan Hui Surface roughness evaluation of additive manufactured components using fiberscopes |
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Additive Manufacturing (AM) processes have revolutionized traditional manufacturing methods,
offering unique advantages in terms of design flexibility, rapid prototyping, and material efficiency.
Surface roughness is a crucial factor in engineering industries, especially in aerospace and
automobile as it can affect factors such as friction, wear resistance and material fatigue life.
Several methods are available to measure the surface roughness of the components, but most of them have limited ability to measure the surface roughness of complex structures. There is an urgent need for a flexible probe for measuring surface structures of complex structures like internal channels of engines is necessary. This work reports a method to measure the surface roughness of complex components by using a flexible fiberscope. A 0.3 mm diameter fiberscope is used to collect the speckle patterns created by laser from the samples. The fiberscope contains 1600 picture elements which gives a pixel to pixel spacing of 3.3 µm. Multiple image processing algorithms are used to remove the comb structures formed by the picture elements of the fiberscope. The surface roughness of the samples is estimated by angular speckle correlation. Standard comparator plates are used to
calibrate the system, and the calibration graph is plotted for different surface roughness values. The surface roughness of unknown samples and complex channels is estimated by using the calibration curve. This method provides an accurate measurement of the surface roughness of the internal channels, which are not accessible by conventional measurement techniques. |
author2 |
Murukeshan Vadakke Matham |
author_facet |
Murukeshan Vadakke Matham Seah, Benjamin Yan Hui |
format |
Final Year Project |
author |
Seah, Benjamin Yan Hui |
author_sort |
Seah, Benjamin Yan Hui |
title |
Surface roughness evaluation of additive manufactured components using fiberscopes |
title_short |
Surface roughness evaluation of additive manufactured components using fiberscopes |
title_full |
Surface roughness evaluation of additive manufactured components using fiberscopes |
title_fullStr |
Surface roughness evaluation of additive manufactured components using fiberscopes |
title_full_unstemmed |
Surface roughness evaluation of additive manufactured components using fiberscopes |
title_sort |
surface roughness evaluation of additive manufactured components using fiberscopes |
publisher |
Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/176158 |
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1806059919339683840 |