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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received May 31, 2024
Accepted July 12, 2024
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Investigating the Foaming Process of a Thermoplastic Elastomer (TPE) Using Rheology and Image Analysis

Material Research and Engineering Center, AVP Division , Hyundai Motor Company 1Institute of Chemical Technology and Polymer Chemistry , Karlsruhe Institute of Technology 2AMR Equipment Development Team , Samsung SDI 3School of Chemical Engineering , Pusan National University
kyuhyun@pusan.ac.kr
Korean Journal of Chemical Engineering, October 2024, 41(11), 3105-3116(12), https://doi.org/10.1007/s11814-024-00229-8

Abstract

This study introduced a method to simultaneously characterize time-resolved rheological and volumetric changes occurring

during the foaming process of a thermoplastic elastomer containing an encapsulated physical blowing agent. For this, a

conventional rotational rheometer was equipped with a commercial digital camera to capture video recordings. These video

recordings were digitized into volumetric data using custom-written computer-vision-based algorithm. We fi rst investigated

rheological and volumetric changes during temperature ramp tests. The calculated cell volume fractions varied quantitatively

depending on cell expansion and shrinkage. The viscoelastic moduli followed the characteristic behavior of the cell volume

fraction. Furthermore, to analyze the volumetric changes under hypothetical processing conditions, a four-stage protocol

comprising time sweep and temperature ramp was designed. The results revealed that the cell shrinkage induced by internal

gas permeation at high temperatures was signifi cantly greater than that induced by internal pressure reduction during cooling.

Finally, comparison between foam densities computed using our algorithm and those measured using a densimeter revealed

good agreement within 3% relative error. This demonstrates the applicability of our algorithm for quantitatively assessing

volumetric changes of foam.

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