New Publication: Aerodynamic Optimization of Time-Trial Helmets Using Reduced-Order Modeling and Mesh Morphing
Written by Emanuele Di Meo on
The study “Reduced-Order Model of a Time-Trial Cyclist Helmet for Aerodynamic Optimization Through Mesh Morphing and Enhanced with Real-Time Interactive Visualization,” authored by E. Di Meo, A. Lopez, C. Groth, M. E. Biancolini, and P. P. Valentini, has been published in MDPI. This research presents a methodical approach to optimizing the aerodynamics of time-trial cycling helmets through the integration of advanced computational tools.
The methodology combines computational fluid dynamics (CFD), radial basis functions (RBF), mesh morphing, and response surface methodology (RSM) with a reduced-order model (ROM). The ROM facilitates a more efficient and detailed analysis of aerodynamic interactions compared to traditional optimization approaches.
Key findings include:
- A systematic evaluation of morphing configurations starting from a baseline teardrop profile, achieving a 10% reduction in drag force.
- Enhanced insights into turbulent flow behavior on the cyclist’s body through the application of the ROM.
- Practical guidelines for helmet design optimization, contributing to the reduction of aerodynamic resistance in competitive cycling.
This study demonstrates the effectiveness of ROMs and advanced simulation techniques in supporting the design of high-performance sports equipment.
The full paper can be accessed here.
Emanuele Di Meo
Emanuele Di Meo is a CAE Senior Engineer with a Master’s degree in Mechanical Engineering, obtained in 2019 from the University of Rome "Tor Vergata." After gaining experience as a Mechanical Designer and CAE Analyst in manufacturing and engineering consultancy firms, he returned to the University of Rome "Tor Vergata" in 2023 as a Research Fellow in Novel CAE-Based Digital Twin Technologies. Since May 2024, he has been working as a CAE Senior Engineer and Team Leader at RBF Morph. A member of the NAFEMS Italy Steering Committee since September 2024, he has extensive expertise in Mechanical Design, FEA, Crashworthiness, CFD, FSI, Mesh Morphing, and Reduced-Order Models.
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