Data Publication

Dataset for the influence of water content and temperature on electrification in rapid decompression experiments

Stern, Sönke | Cimarelli, Corrado | Gaudin, Damien | Scheu, Bettina | Dingwell, Donald B.

GFZ Data Services

(2019)

This data publication provides data from 42 experiments from 2018 and 2019 in the Fragmentation Lab at the Ludwig-Maximilians University Munich (Germany). The experiments were taken out to analyse the influence of the water content and the initial temperature of the pre-experimental sample on the produced electrification in rapid decompression, shock-tube experiments. All samples used in this study are 90-300 μm loose ash samples from the lower Laacher See unit. To carry out this study, we have built up on previous studies by Cimarelli et al. (2014) and Gaudin & Cimarelli (2019b, dataset to be found in Gaudin & Cimarelli, 2019a). A sample of loose ash gets placed in an autoclave. In our study, we have added water in some experiments. Also, a furnace was often used to heat the sample to up to 320 °C. After both water addition and heating, the autoclave gets pressurized using argon gas. Once a target pressure of 9 MPa is reached, the experiment gets triggered by rupturing metal diaphragms, which rapid decompresses the sample and ejects it into a collector tank. This collector tank is made out of steel and electrically insulated from its surrounding, thus working as a Faraday cage (FC), which is able to detect the net charge within at any point during the experiment. We detect discharges on that net charge up to 10 ms after the ejection of the particles. This dataset contains: - an overview .xlsx file (ExperimentOverview) containing key information for the 42 experiments used for analysis in this study - raw .csv files for all experiments - .pdf files showing the key elements of the analysed experiments, incl. data from Faraday cage and pressure sensors For more information please refer to the data description and the associated publication (Stern et al., 2019).

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