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Updated: Jan 29, 2026

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Non-equilibrium Microwave Plasma for Efficient High Temperature Chemistry
Published on: August 1, 2017
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Multiphysics Simulation for Efficient and Reliable Systems for Low-Temperature Plasma Treatment of Metals
Nina Yankova Penkova1, Boncho Edward Varhoshkov1,2, Valery Todorov1
1Faculty of Metallurgy and Material Science, University of Chemical Technology and Metallurgy, 1756 Sofia, Bulgaria.
Materials (Basel, Switzerland)
|January 28, 2026
Summary
This study models plasma nitriding processes, enhancing metal part hardness and wear resistance. Advanced simulations improve understanding and optimization of this complex surface treatment technology.
Area of Science:
- Materials Science and Engineering
- Plasma Physics
- Computational Fluid Dynamics
Background:
- Plasma nitriding enhances metal surface properties like hardness and wear resistance.
- Complex geometries require advanced methods for uniform treatment.
- Multi-physical process modeling aids in understanding and optimizing plasma technologies.
Purpose of the Study:
- To develop mathematical models for coupled electromagnetic, fluid flow, and thermal processes in plasma nitriding.
- To numerically solve these models for a plasma nitriding chamber.
- To calibrate models using electrical and in situ measurements for accuracy.
Main Methods:
- Development of coupled mathematical models for plasma nitriding.
- Numerical solution using ANSYS/CFX software.
- Calibration of gas mixture electrical conductivity via electrical models and in situ measurements.
Main Results:
- Simulation and analysis of 3D fields: pressure, temperature, velocity, turbulence, current density, and voltage.
- Validated models provide insights into plasma behavior within the chamber.
- Identified key parameters influencing the plasma nitriding process.
Conclusions:
- The developed models offer a robust approach for understanding and improving plasma nitriding.
- Simulation results guide technological and constructive enhancements for plasma treatment.
- Modeling is crucial for optimizing surface engineering processes on complex metal parts.
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