PLASMA THERMAL DYNAMICS IN THE MAGNETIC FIELD OSCILLATING AMPLIFIED (MOA) THRUSTER: AN EXAMINATION OF ADIABATIC HEATING PROCESSES
Abstract
The Magnetic Field Oscillating Amplified (MOA) thruster presents a novel approach to plasma propulsion, leveraging oscillating magnetic fields to enhance ion acceleration and plasma confinement. This study investigates the thermal dynamics of plasma within the MOA thruster, with a particular focus on the role of adiabatic heating. We examine the temporal and spatial evolution of plasma temperature and pressure under varying magnetic field strengths, using computational simulations and laboratory diagnostics. Results indicate that adiabatic compression driven by magnetic field oscillations significantly contributes to plasma heating, increasing thermal energy and ion velocities. The findings offer insights into optimizing MOA thruster designs for efficient energy transfer and enhanced propulsion performance.
Keywords
References
Most read articles by the same author(s)
- Dr. Sachini Ekanayake, A Scalable Approach To Designing High-Availability Distributed Systems With Advanced Fault Mitigation Strategies , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Dr. Marcel H. Vogt, Prof. Xiangyu Li, Dr. Aurelien Dupont, QUOTIENT MECHANISM KINEMATIC ANALYSIS: A MANIFOLD IDENTIFICATION METHOD UTILIZING CHASLES' DECOMPOSITION MODELS , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Veherinskyi Taras Ihorovych, Optimization of Hydraulic System Operation in Agricultural Machinery for The Purpose of Reducing Energy Consumption , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Dr. Muhammad Arif Hidayat, Architectural Design and System-Level Solutions for Seamless Incorporation of Robotic Technologies into Existing Industrial Infrastructure Networks , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Prof. Nikos Demetriou, Adaptive Artificial Intelligence Strategy for Multidimensional Dataset Evaluation through Relationship-Centric Models , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Dr. Hao P. Zhou, Dr. Yong H. Liu, DRIVING SUSTAINABLE DEVELOPMENT IN CHINA: THE CRUCIAL ROLE OF TECHNOLOGY-ENHANCED ENERGY EFFICIENCY , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 07 (2025): Volume 02 Issue 07
- Mateo Villarreal, Cloud-Enabled Big Data Analytics: Architectural Foundations, Security Challenges, And Sectoral Applications in The Era of Scalable Digital Intelligence , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Alaric Whitemore, The Architecture of Quality: Integrating Machine Learning, Blockchain, and Automated Analysis for the Evolution of Secure and Modular Software Systems , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Dr. Ahmad Fauzan Nugroho, Intelligent CAD-Based Framework for Automating Design Optimization and Rapid Prototyping in Engineering Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Dr. Alistair Sterling, The Convergence of Graph-Theoretic Architectures and Agentic Artificial Intelligence in Optimizing Multi-Cloud Ecosystems: A Comprehensive Analysis of Cost Dynamics and Resource Allocation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01