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Analyzing Expanding Clays by Thermoporometry Using a Stochastic Deconvolution of the DSC Signal

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Clays and Clay Minerals

Abstract

A version of thermoporometry dedicated to analyzing the pore network of expanding clays is proposed here. The blurred, wide Differential Scanning Calorimetry (DSC) peak obtained upon the melting of a frozen clay sample is processed by means of a deconvolution analysis based on searching for such a temperature distribution of “pulse-like heat events” which, convolved with the apparatus function, gives a minimal deviation from the observed heat flux function, i.e. the calorimetric signal. As a result, a sharp thermogram was obtained which can be transformed easily into the pore-size distribution curve. Results obtained for samples of two Clay Minerals Society Source Clays (montmorillonites SWy-2 from Wyoming and STx-1b from Texas) at different water contents indicate a greater resolution and sensitivity than that achieved by classical thermoporometry using the unprocessed DSC signal. Phenomena corresponding to the evolution of the pore network as a function of the water content have been detected in samples with large water contents subjected to free drying prior to the experiments.

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Authors and Affiliations

  1. Kielce University of Technology, Al. Tysiąclecia Państwa Polskiego 7, 25-314, Kielce, Poland

    Tomasz Kozlowski & Łukasz Walaszczyk

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  1. Tomasz Kozlowski
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  2. Łukasz Walaszczyk
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Correspondence to Tomasz Kozlowski.

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Kozlowski, T., Walaszczyk, Ł. Analyzing Expanding Clays by Thermoporometry Using a Stochastic Deconvolution of the DSC Signal. Clays Clay Miner. 62, 386–402 (2014). https://doi.org/10.1346/CCMN.2014.0620503

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  • DOI: https://doi.org/10.1346/CCMN.2014.0620503

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