Bleicher, F., Zenz, K., Sulz, C., & Poszvek, G. (2023, July 14). A statistical approach for characterizing the compressive stress of foams via computed tomography [Conference Presentation]. CIRP ICME ’23 Conference: 17th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, Ischia, Italy.
E311-01-4 - Forschungsgruppe Fertigungsmesstechnik und adaptronische Systeme E311-01 - Forschungsbereich Fertigungstechnik E311 - Institut für Fertigungstechnik und Photonische Technologien
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Date (published):
14-Jul-2023
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Event name:
CIRP ICME '23 Conference: 17th CIRP International Conference on Intelligent Computation in Manufacturing Engineering
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Event date:
12-Jul-2023 - 14-Jul-2023
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Event place:
Ischia, Italy
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Keywords:
X-ray; Predictive Model; Geometry; Foam
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Abstract:
The compressive stress of foams is of significant interest to manufacturers: It directly affects if a foam is suited for a specific usecase or not. Therefore, achieving exact outcomes in production is crucial. Computed tomography (CT) is a destruction free imaging process which is increasingly utilized in metrology to analyze the internal structure of industrial materials, for example their porosity. Subject of this paper is to find a link between pore parameters as well as their distribution in the foam and the compressive stress of the entire foam structure by using CT analysis and statistical methods.
