Tomographic image analysis of reinforcement distribution in composites using a flexible and material’s specialist-friendly computational environment
•Dataset size & computing time limit the use of CT materials characterization.•A Problem-Solving Environment (PSE) for composites CT imaging has been developed.•Running on a PC with GPGPUs (General Purpose Graphical Processing Units).•Able to be used by a Materials Scientist, non-specialist in C...
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Published in: | Materials letters. X Vol. 7; p. 100046 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Elsevier B.V
01-09-2020
Elsevier |
Subjects: | |
Online Access: | Get full text |
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Summary: | •Dataset size & computing time limit the use of CT materials characterization.•A Problem-Solving Environment (PSE) for composites CT imaging has been developed.•Running on a PC with GPGPUs (General Purpose Graphical Processing Units).•Able to be used by a Materials Scientist, non-specialist in Computer Science.•The PSE is used to determine the spatial distribution of reinforcements in MMCs.
A computational environment - in the following called Problem Solving Environment (PSE) - dedicated to the analysis of tomographic images of composite materials is presented. The PSE current version is centered on reinforcement characterization and its main features are: (i) running on a desktop PC equipped with GPGPUs (General Purpose Graphical Processing Units); (ii) allowing a non-specialist in Computer Science to define visual programs that specify a sequence of processing steps; (iii) execution times compatible with an interactive use, due to the computational processing power of GPUs; (iv) the inclusion of visualization modules and the possibility of steering the computations through parameter changes. |
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ISSN: | 2590-1508 2590-1508 |
DOI: | 10.1016/j.mlblux.2020.100046 |