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<p>The study examines recent advancements in numerical simulation and analysis of off-design scramjet inlet performance in hypersonic flow. Scramjets, crucial for sustained hypersonic flight, face challenges in inlet performance under off-design conditions. The research evaluates computational techniques like CFD, RANS, LES, and high-fidelity simulations to assess their effectiveness in modeling shock interactions, boundary layer separations, and thermal management. By analyzing simulation accuracy, computational constraints, and optimization methods, the study offers insights into improving scramjet inlet efficiency and operational robustness in aerospace applications. A systematic review was conducted using the PRISMA framework, analyzing over 250 peer-reviewed papers from high-impact databases. The study focused on CFD-based numerical techniques, turbulence modeling strategies, and AI-driven simulation optimizations, categorizing advancements in grid generation, boundary layer modeling, multiphysics simulations, and off-design performance evaluation. High-quality, experimentally validated studies were prioritized. The findings provide a comprehensive synthesis of computational techniques, highlighting research gaps and suggesting future directions for high-speed air-breathing propulsion systems. This study highlights the key role of advanced simulations, turbulence models, and optimization techniques in improving hypersonic scramjet inlets. It focuses on managing shock interactions, reducing drag, and boosting performance. Future research will use AI, better materials, and experiments to create more stable, efficient, and high-performing hypersonic&#xa0;systems. This review paper examines advancements in computational methods for scramjet inlets under hypersonic and off-design conditions. Scramjets, efficient at speeds above Mach 5, face aerodynamic and thermal challenges. The paper discusses scramjet principles and various numerical approaches, including RANS, LES, and DES, to analyze flow characteristics, turbulence modeling, and shock-boundary layer interactions. Key topics include grid generation, high-fidelity simulations, inlet-engine coupling, and flow control strategies such as plasma actuators and machine-learning optimization. The review also addresses limitations in current CFD tools, including computational costs and turbulence model fidelity, while suggesting future research directions to improve scramjet performance.</p>

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Recent advances in numerical simulation and analysis of off-design scramjet inlet performance in hypersonic flow

  • 期刊论文

  • 发表日期：

    2025年10月17日

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  • Parul Soni,
  • Nainsi Srivastava,
  • Frankincense Manners,
  • Barkha Sharma,
  • Yasharth Dwivedi,
  • Amit Kumar Thakur,
  • Sachin Srivastava

摘要

The study examines recent advancements in numerical simulation and analysis of off-design scramjet inlet performance in hypersonic flow. Scramjets, crucial for sustained hypersonic flight, face challenges in inlet performance under off-design conditions. The research evaluates computational techniques like CFD, RANS, LES, and high-fidelity simulations to assess their effectiveness in modeling shock interactions, boundary layer separations, and thermal management. By analyzing simulation accuracy, computational constraints, and optimization methods, the study offers insights into improving scramjet inlet efficiency and operational robustness in aerospace applications. A systematic review was conducted using the PRISMA framework, analyzing over 250 peer-reviewed papers from high-impact databases. The study focused on CFD-based numerical techniques, turbulence modeling strategies, and AI-driven simulation optimizations, categorizing advancements in grid generation, boundary layer modeling, multiphysics simulations, and off-design performance evaluation. High-quality, experimentally validated studies were prioritized. The findings provide a comprehensive synthesis of computational techniques, highlighting research gaps and suggesting future directions for high-speed air-breathing propulsion systems. This study highlights the key role of advanced simulations, turbulence models, and optimization techniques in improving hypersonic scramjet inlets. It focuses on managing shock interactions, reducing drag, and boosting performance. Future research will use AI, better materials, and experiments to create more stable, efficient, and high-performing hypersonic systems. This review paper examines advancements in computational methods for scramjet inlets under hypersonic and off-design conditions. Scramjets, efficient at speeds above Mach 5, face aerodynamic and thermal challenges. The paper discusses scramjet principles and various numerical approaches, including RANS, LES, and DES, to analyze flow characteristics, turbulence modeling, and shock-boundary layer interactions. Key topics include grid generation, high-fidelity simulations, inlet-engine coupling, and flow control strategies such as plasma actuators and machine-learning optimization. The review also addresses limitations in current CFD tools, including computational costs and turbulence model fidelity, while suggesting future research directions to improve scramjet performance.