Gerling, Torsten

Wound healing is an important and still challenging task in modern medicine. In particular, the therapeutic options of treating chronic wounds linked to diseases like diabetes are limited. One promising approach is the application of cold atmospheric plasma (CAP) via medical plasma jets or dielectric barrier discharges to specifically stimulate the healing process of non-healing wounds. However, limitations occur regarding the treatment area in case of plasma jets.

The results of modelling study of self-pulsing discharges in pure argon at atmospheric pressure in a 1.5 mm gas gap are provided in this dataset. The study investigates the interaction between the electrical circuit and the actual plasma characteristics. A time-dependent, spatially one-dimensional fluid-Poisson model coupled with an equivalent circuit equation is applied to analyse the impact of circuit parameters like resistance and applied negative DC high voltage on basic discharge properties.

The dataset contains a set of 180 images showing the dynamics of the effluent of the kINPen Science at a distance of 7 mm in front of a grounded copper plate. The image data set can be analysed by means of the open-source BLITZ image viewer (https://github.com/CodeSchmiedeHGW/BLITZ), shading light on the plasma-induced flow dynamics.