Advancements in Computational Fluid Dynamics for Aerodynamic Design

Authors

  • Daniel Hall Prof.
  • Sam Baker PhD
  • Robin Harris Dr.

Keywords:

Computational Fluid Dynamics, Aerodynamic Design, High-Performance Computing, Aerospace Engineering, Modeling Techniques

Abstract

This paper examines recent advancements in computational fluid dynamics (CFD) and their application in aerodynamic design. By utilizing high-performance computing and sophisticated modeling techniques, the study achieves improved accuracy in simulating airflow over complex geometries. These innovations are particularly significant for aerospace engineering, providing insights that can lead to more efficient aircraft designs.

Author Biographies

Daniel Hall, Prof.

Prof.
University of Cambridge
The Old Schools, Trinity Ln, Cambridge CB2 1TN, United Kingdom

Sam Baker, PhD

PhD
University of Sydney
Camperdown NSW 2006, Australia

Robin Harris, Dr.

Dr.
University of Toronto
27 King's College Cir, Toronto, ON M5S, Canada

References

Kumar, N., & Kataria, V. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

Kumar, Nitin, and Vipin Kataria. "Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture."

KUMAR, Nitin; KATARIA, Vipin. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

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Published

2024-09-25

Issue

Vol. 2 No. 3 (2024)

Section

Articles