Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry
The surface topography of metal additive manufactured (AM) parts can be challenging to measure due to the presence of complex features, such as high slopes, step like recesses and protuberances, and local variations in reflectance. Recent innovations in coherence scanning interferometry (CSI) techno...
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| Format: | Conference or Workshop Item |
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2017
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| Online Access: | https://eprints.nottingham.ac.uk/48596/ |
| _version_ | 1848797802443833344 |
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| author | Gómez, Carlos A. Su, Rong Thompson, Adam DiSciacca, Jack Lawes, Simon Leach, Richard K. |
| author_facet | Gómez, Carlos A. Su, Rong Thompson, Adam DiSciacca, Jack Lawes, Simon Leach, Richard K. |
| author_sort | Gómez, Carlos A. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The surface topography of metal additive manufactured (AM) parts can be challenging to measure due to the presence of complex features, such as high slopes, step like recesses and protuberances, and local variations in reflectance. Recent innovations in coherence scanning interferometry (CSI) technology, such as high dynamic range of exposure and adjustable data acquisition rates for noise reduction, have augmented the baseline sensitivity of a measurement. This enhanced sensitivity expands the capability of CSI instruments to measure surface textures with high slopes or low reflectance, making CSI a potentially valuable tool for process development and quality control of metal AM. This study presents an empirical sensitivity analysis of a CSI system for the top and side surfaces of metal AM parts made from different materials (Ti-6Al-4V and Al-Si-10Mg) and processes (laser powder bed fusion (LPBF) and electron beam powder bed fusion (EBPBF)). The aim of this work is to demonstrate the feasibility of using CSI for characterisation of metal AM surfaces, and to evaluate the effectiveness of relevant CSI measurement settings. Topographic measurements are described through the use of ISO 25178-2 areal surface texture parameters Sq and Sdq and are analysed for data coverage, measurement time and area. The results show that the CSI technique can provide surface topography measurements for metal AM surfaces with a wide range of surface features. Finally, recommendations for optimisation of future measurements on metal AM surfaces using CSI are provided. |
| first_indexed | 2025-11-14T20:09:40Z |
| format | Conference or Workshop Item |
| id | nottingham-48596 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:09:40Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-485962020-05-04T19:12:06Z https://eprints.nottingham.ac.uk/48596/ Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry Gómez, Carlos A. Su, Rong Thompson, Adam DiSciacca, Jack Lawes, Simon Leach, Richard K. The surface topography of metal additive manufactured (AM) parts can be challenging to measure due to the presence of complex features, such as high slopes, step like recesses and protuberances, and local variations in reflectance. Recent innovations in coherence scanning interferometry (CSI) technology, such as high dynamic range of exposure and adjustable data acquisition rates for noise reduction, have augmented the baseline sensitivity of a measurement. This enhanced sensitivity expands the capability of CSI instruments to measure surface textures with high slopes or low reflectance, making CSI a potentially valuable tool for process development and quality control of metal AM. This study presents an empirical sensitivity analysis of a CSI system for the top and side surfaces of metal AM parts made from different materials (Ti-6Al-4V and Al-Si-10Mg) and processes (laser powder bed fusion (LPBF) and electron beam powder bed fusion (EBPBF)). The aim of this work is to demonstrate the feasibility of using CSI for characterisation of metal AM surfaces, and to evaluate the effectiveness of relevant CSI measurement settings. Topographic measurements are described through the use of ISO 25178-2 areal surface texture parameters Sq and Sdq and are analysed for data coverage, measurement time and area. The results show that the CSI technique can provide surface topography measurements for metal AM surfaces with a wide range of surface features. Finally, recommendations for optimisation of future measurements on metal AM surfaces using CSI are provided. 2017-10-10 Conference or Workshop Item PeerReviewed Gómez, Carlos A., Su, Rong, Thompson, Adam, DiSciacca, Jack, Lawes, Simon and Leach, Richard K. (2017) Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry. In: Joint Special Interest Group meeting between euspen and ASPE Dimensional Accuracy and Surface Finish in Additive Manufacturing, 10-12 October 2017, Leuven, Belgium. Coherence scanning interferometry metal additive manufacturing surface topography metrology roughness |
| spellingShingle | Coherence scanning interferometry metal additive manufacturing surface topography metrology roughness Gómez, Carlos A. Su, Rong Thompson, Adam DiSciacca, Jack Lawes, Simon Leach, Richard K. Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry |
| title | Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry |
| title_full | Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry |
| title_fullStr | Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry |
| title_full_unstemmed | Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry |
| title_short | Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry |
| title_sort | optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry |
| topic | Coherence scanning interferometry metal additive manufacturing surface topography metrology roughness |
| url | https://eprints.nottingham.ac.uk/48596/ |