Flow Physics of Optimal Performance in Aerospace Applications Using Accurate Numerical Simulations and Experiments

Dear Colleagues,

This Special Issue addresses the advances in design techniques, numerical simulations, and experiments for the optimal performance of aerospace applications, focusing on prediction accuracy, flow physics, modeling approaches, tools used to design optimized devices, and flow visualization. Computational fluid dynamics has become an integral part of advanced numerical simulation-based research and can also be extended to multiphysics analyses for a system-level design. Rotating and non-rotating flow applications utilize these modeling approaches and well-validated experiments to improve their aerodynamic and thermodynamic performance. Analyzing the flow at various fidelities and visualizing it using the available tools or specifically developed tools is very crucial in gaining a deep understanding of transport phenomena in fluid mechanics when applied to aerospace. Experimental validation is an integral part of calibration, and new advances in measurements of flow properties will also be good contributions to this Special Issue.

Open-source tools are essential to advance the technology and for the research community to learn from one another. This Special Issue welcomes contributions in terms of tool development and analysis using open-source frameworks. High-order numerical methods that improve prediction accuracy, surrogate models developed to minimize cycle time, and qualitative analysis of fluid flow are also welcome. Additive manufacturing has become mainstream, and thus studies implementing it for enhanced device performance are also invited.

Authors are invited to submit full research articles and review manuscripts addressing (but not limited to) the following topics:

• Rotorcraft, open rotors, advanced air mobility, and helicopters;
• Turbomachinery design optimization;
• Open-source frameworks from design to analysis at various fidelities;
• Multiphysics—fluid–structure interaction, aeroelasticity, and heat transfer;
• Lift enhancement and drag reduction using flow control;
• Shock wave–boundary layer interaction;
• Internal and external boundary layer flow;
• Vorticity mechanism and wake propagation;
• Subsonic, transonic, supersonic, and hypersonic flow physics;
• Noise mitigation using simulation and experiments;
• Numerical methods including high-order solvers and adjoint methods;
• Improvement of prediction accuracy in numerical simulation;
• Large eddy simulation of complex flow;
• Entropy mitigation in flow devices;
• Surface roughness effect on performance;
• Improvements due to using additive manufacturing;
• Surrogate models for aerodynamic predictions including machine learning;
• Deep learning in aerodynamics;
• Data-based turbulence models;
• Accurate turbulence capture and turbulent kinetic energy;
• Unsteady flow physics;
• Experimental validation;
• VTOL applications;
• Electric propulsion;
• Rocket propulsion;
• Retropropulsion;
• Bio-inspired aerospace applications.

Dr. Kiran Siddappaji
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.