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Plasma argon particle interactions in a non-equilibrium state through the Maxwell-Boltzmann kinetic equation Ronald, Azza; Saktioto, Saktioto; Maikul, Kusherbayeva; Bibara, Kushkimbayeva; Samudra, Mohd Rendy; Irawan, Dedi; Abdullah, Hewa Yaseen
Science, Technology and Communication Journal Vol. 5 No. 2 (2025): SINTECHCOM Journal (February 2025)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v5i2.272

Abstract

Non-thermal Argon plasmas serve multiple functions, particularly in healthcare and industrial applications. Numerous particles of the same species exhibit varying velocities, referred to as a 'population'. The distribution function is a standard method for characterizing a population. The speed and energy distribution functions in the Maxwell-Boltzmann equation are simulated utilizing MATLAB. The density of each species was numerically calculated using the Runge-Kutta method. This research reviews various Argon species, including Ar*, Ar+, Ar(1s5), Ar(1s4), Ar(1s3), Ar(1s2), Ar, and electrons. The parameters utilized include a pressure of 10 mTorr, an Argon temperature about 400 K, and an electron temperature about 30,000 K. The maximum velocity probability density value is observed in the Ar+ species at 6.18 x 107 (m/s)-1, while the minimum value is found in electrons at 1.93 (m/s)-1. The maximum energy probability density value is observed in the Ar+ species at 2.13 x 1029 (Joule)-1, while the minimum value is found in the Ar(1s3) species at 1.40 x 1025 (Joule)-1. The time evolution of the distribution function, independent of the coordinates r, is associated with v, at t = 10-8 s. The velocity distribution function is significantly affected by the density value, while the distribution function is contingent upon the velocity.
Recombination coefficient analysis of hydrogen plasma species in the afterglow regime Sihombing, Felix Boy Martupa; Saktioto, Saktioto; Maikul, Kusherbayeva; Bibara, Kushkimbayeva
Science, Technology, and Communication Journal Vol. 6 No. 2 (2026): SINTECHCOM Journal (February 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i2.344

Abstract

The recombination coefficient of hydrogen plasma using the six thermal hydrogen species in the afterglow condition was analyzed through MATLAB computational modeling to determine the logarithmic density, and then to determine the difference between conduction and convection. This study aims to model the dynamics of recombination and determine the recombination coefficients of hydrogen species against temperature variations. This modeling was carried out using zero-dimensional chemical kinetic equations derived from the continuity equation, namely the reaction rate calculated using modified Arrhenius. This modeling is integrated numerically using the Runge-Kutta method. The density results of hydrogen species show a consistent decrease in temperature variation related to the ideal gas law, but the recombination coefficient increases with increasing temperature. This upward trend indicates that there is a dominance of three-body recombination processes over atmospheric pressure and afterglow conditions.