Journal of the Global Power and Propulsion Society
Scope & Guideline
Elevating Knowledge in the Power and Propulsion Sectors
Introduction
Aims and Scopes
- Turbomachinery Design and Optimization:
The journal focuses on the design and optimization of turbomachinery components such as compressors and turbines, utilizing advanced computational fluid dynamics (CFD) and experimental techniques to enhance performance and efficiency. - Aerodynamics and Heat Transfer:
Research in this area explores the aerodynamic characteristics and heat transfer processes in various propulsion systems, including studies on cooling techniques, flow separation, and thermal management. - Machine Learning and Data-Driven Approaches:
The integration of machine learning and artificial intelligence in the analysis and optimization of propulsion systems is a significant focus, with studies aimed at predictive maintenance and performance enhancement. - Additive Manufacturing and Material Innovations:
The journal addresses advancements in additive manufacturing technologies for creating complex geometries in turbomachinery components, emphasizing their impact on performance and reliability. - Sustainability and Decarbonization Efforts:
Research related to sustainable propulsion technologies, including hydrogen-fueled systems and hybrid-electric propulsion, reflects the journal's commitment to addressing environmental challenges in power and propulsion.
Trending and Emerging
- Advanced Simulation Techniques:
There is a growing trend towards employing advanced simulation methods, including large-eddy simulations and multi-fidelity approaches, to enhance the accuracy of aerodynamics and thermodynamics analyses in turbomachinery. - Hybrid and Electric Propulsion Systems:
Research on hybrid and electric propulsion technologies is rapidly increasing, driven by the aviation industry's push for more sustainable solutions, resulting in innovative designs and performance assessments. - Integration of AI and Machine Learning:
The application of artificial intelligence and machine learning in the predictive modeling and optimization of propulsion systems is gaining popularity, highlighting a shift towards data-driven decision-making. - Environmental Impact and Decarbonization:
Research focusing on reducing the environmental footprint of propulsion systems, including studies on alternative fuels and energy-efficient designs, is becoming increasingly significant. - Additive Manufacturing Applications:
The use of additive manufacturing in the design and production of turbomachinery components is trending, with studies exploring its potential to create lightweight and complex geometries that enhance performance.
Declining or Waning
- Traditional Combustion Techniques:
Research centered on conventional combustion methods has seen a decline, likely due to the increased emphasis on sustainable and clean energy solutions, such as hydrogen and hybrid systems. - Low-Fidelity Simulation Methods:
There is a noticeable reduction in studies relying on simpler, low-fidelity simulation techniques as the field shifts towards more complex, high-fidelity simulations that provide greater accuracy and insight. - Fundamental Fluid Mechanics Studies:
While foundational fluid mechanics remains important, the focus on purely theoretical studies has decreased in favor of applied research that addresses specific engineering challenges. - Static Component Analysis:
Research focused solely on the static analysis of components without considering dynamic interactions and operational conditions is becoming less prevalent, reflecting a shift towards more holistic approaches. - Generalized Performance Metrics:
The use of broad, generalized performance metrics without context-specific applications is declining, as researchers increasingly seek to develop tailored metrics that reflect real-world operational conditions.
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