<div class="csl-bib-body">
<div class="csl-entry">Bleicher, F., Zenz, K., Sulz, C., & Poszvek, G. (2023, July 14). <i>A statistical approach for characterizing the compressive stress of foams via computed tomography</i> [Conference Presentation]. CIRP ICME ’23 Conference: 17th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, Ischia, Italy.</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/187710
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dc.description.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.
en
dc.language.iso
en
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dc.subject
X-ray
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dc.subject
Predictive Model
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dc.subject
Geometry
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dc.subject
Foam
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dc.title
A statistical approach for characterizing the compressive stress of foams via computed tomography