Feature-based characterisation of signature topography in laser powder bed fusion of metals
The use of state-of-the-art areal topography measurement instrumentation allows for a high level of detail in the acquisition of topographic information at micrometric scales. The three-dimensional geometric models of surface topography obtained from measured data create new opportunities for the in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2018
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| Online Access: | https://eprints.nottingham.ac.uk/48616/ |
| _version_ | 1848797807710830592 |
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| author | Senin, Nicola Thompson, Adam Leach, Richard K. |
| author_facet | Senin, Nicola Thompson, Adam Leach, Richard K. |
| author_sort | Senin, Nicola |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The use of state-of-the-art areal topography measurement instrumentation allows for a high level of detail in the acquisition of topographic information at micrometric scales. The three-dimensional geometric models of surface topography obtained from measured data create new opportunities for the investigation of manufacturing processes through characterisation of the surfaces of manufactured parts. Conventional methods for quantitative assessment of topography usually only involve the computation of texture parameters; summary indicators of topography-related characteristics that are computed over the investigated area. However, further useful information may be obtained through characterisation of signature topographic formations, as more direct indicators of manufacturing process behaviour and performance. In this work, laser powder bed fusion of metals is considered. An original algorithmic method is proposed to isolate relevant topographic formations and to quantify their dimensional and geometric properties, using areal topography data acquired by state-of-the-art areal topography measurement instrumentation. |
| first_indexed | 2025-11-14T20:09:45Z |
| format | Article |
| id | nottingham-48616 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:09:45Z |
| publishDate | 2018 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-486162018-11-29T04:30:18Z https://eprints.nottingham.ac.uk/48616/ Feature-based characterisation of signature topography in laser powder bed fusion of metals Senin, Nicola Thompson, Adam Leach, Richard K. The use of state-of-the-art areal topography measurement instrumentation allows for a high level of detail in the acquisition of topographic information at micrometric scales. The three-dimensional geometric models of surface topography obtained from measured data create new opportunities for the investigation of manufacturing processes through characterisation of the surfaces of manufactured parts. Conventional methods for quantitative assessment of topography usually only involve the computation of texture parameters; summary indicators of topography-related characteristics that are computed over the investigated area. However, further useful information may be obtained through characterisation of signature topographic formations, as more direct indicators of manufacturing process behaviour and performance. In this work, laser powder bed fusion of metals is considered. An original algorithmic method is proposed to isolate relevant topographic formations and to quantify their dimensional and geometric properties, using areal topography data acquired by state-of-the-art areal topography measurement instrumentation. IOP Publishing 2018-03-08 Article PeerReviewed application/pdf en cc_by_nc_nd https://eprints.nottingham.ac.uk/48616/1/fb-mpbf%20v_accepted.pdf Senin, Nicola, Thompson, Adam and Leach, Richard K. (2018) Feature-based characterisation of signature topography in laser powder bed fusion of metals. Measurement Science and Technology, 29 (4). 045009/1-045009/12. ISSN 1361-6501 surface metrology additive manufacturing 3D topographic features laser powder bed fusion http://iopscience.iop.org/article/10.1088/1361-6501/aa9e19/meta doi:10.1088/1361-6501/aa9e19 doi:10.1088/1361-6501/aa9e19 |
| spellingShingle | surface metrology additive manufacturing 3D topographic features laser powder bed fusion Senin, Nicola Thompson, Adam Leach, Richard K. Feature-based characterisation of signature topography in laser powder bed fusion of metals |
| title | Feature-based characterisation of signature topography in laser powder bed fusion of metals |
| title_full | Feature-based characterisation of signature topography in laser powder bed fusion of metals |
| title_fullStr | Feature-based characterisation of signature topography in laser powder bed fusion of metals |
| title_full_unstemmed | Feature-based characterisation of signature topography in laser powder bed fusion of metals |
| title_short | Feature-based characterisation of signature topography in laser powder bed fusion of metals |
| title_sort | feature-based characterisation of signature topography in laser powder bed fusion of metals |
| topic | surface metrology additive manufacturing 3D topographic features laser powder bed fusion |
| url | https://eprints.nottingham.ac.uk/48616/ https://eprints.nottingham.ac.uk/48616/ https://eprints.nottingham.ac.uk/48616/ |