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T. Wilkinson, C. Churchman, D. Beer, B. Koe, D. Barba, "Correlating Porosity and Photodiode Response in LPBF Manufactured Samples using Spatial Statistics", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 2.4, 2024, doi:10.4203/ccc.9.2.4

Keywords: additive manufacturing, laser powder bed fusion, process monitoring, photodiode, computed tomography, porosity.

Abstract

The detection of porosity within laser powder bed fusion (LPBF) manufactured components is, and always will be an important step for quality assurance and certification. Computed tomography is the gold standard for non-destructive inspection, but the time, monetary investment, and data-handling challenges can be prohibitive, especially for larger components. The utilisation of various in-situ monitoring sensors might prove to be a fast, and cost-effective method for detecting porosity within laser powder bed fusion printed parts but further work is needed to correlate the response of these sensors with different types of defects that appear during the laser powder bed fusion process. In this work, photodiode data collected during the printing of a coupon with a thermal constriction is voxelised into an efficient format, and then the standard deviation of the data contained within each voxel is calculated to provide a measure of the process stability in 3D space. This spatial standard deviation is then shown to correlate well with pores identified using a high-resolution computed tomography scan of the coupon, showing that photodiode data can be used for the detection of certain types of porosity in laser powder bed fusion printed parts.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 9 PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 2.4 Correlating Porosity and Photodiode Response in LPBF Manufactured Samples using Spatial Statistics T. Wilkinson¹, C. Churchman², D. Beer², B. Koe² and D. Barba¹ ¹E.T.S de Ingeniería Aeronáutica y del Espacio, Universidad Politécnica de Madrid, Spain ²Alloyed Ltd, Yarnton, United Kingdom doi:10.4203/ccc.9.2.4 Full Bibliographic Reference for this paper T. Wilkinson, C. Churchman, D. Beer, B. Koe, D. Barba, "Correlating Porosity and Photodiode Response in LPBF Manufactured Samples using Spatial Statistics", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 2.4, 2024, doi:10.4203/ccc.9.2.4 Keywords: additive manufacturing, laser powder bed fusion, process monitoring, photodiode, computed tomography, porosity. Abstract The detection of porosity within laser powder bed fusion (LPBF) manufactured components is, and always will be an important step for quality assurance and certification. Computed tomography is the gold standard for non-destructive inspection, but the time, monetary investment, and data-handling challenges can be prohibitive, especially for larger components. The utilisation of various in-situ monitoring sensors might prove to be a fast, and cost-effective method for detecting porosity within laser powder bed fusion printed parts but further work is needed to correlate the response of these sensors with different types of defects that appear during the laser powder bed fusion process. In this work, photodiode data collected during the printing of a coupon with a thermal constriction is voxelised into an efficient format, and then the standard deviation of the data contained within each voxel is calculated to provide a measure of the process stability in 3D space. This spatial standard deviation is then shown to correlate well with pores identified using a high-resolution computed tomography scan of the coupon, showing that photodiode data can be used for the detection of certain types of porosity in laser powder bed fusion printed parts. download the full-text of this paper (PDF, 2090 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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