Daniele Giaquinta

Papers

3

Total Citations

11

H-Index

3

About

Daniele Giaquinta is an experimental aerodynamics researcher specializing in advanced flow measurement techniques, with a particular focus on large-scale three-dimensional Particle Image Velocimetry (PIV) and its application to complex aerodynamic problems. His work centers on two principal areas: automotive aerodynamics and aircraft flow dynamics, where he employs cutting-edge robotic volumetric PIV methodologies to resolve intricate flow structures that traditional measurement approaches struggle to capture. Among his most notable contributions is his systematic investigation of the Ahmed body wake topology under cross-wind conditions — a canonical problem in ground vehicle aerodynamics. Using a 1:2 scale model with a 25° slant angle, Giaquinta produced detailed three-dimensional maps of near-wake flow structures, advancing understanding of how lateral wind influences bluff body aerodynamics. His work with coaxial imaging and Helium-filled soap bubbles represents a particularly innovative experimental approach that enabled large-scale volumetric measurements with unprecedented spatial coverage. Giaquinta has also extended robotic volumetric velocimetry to aircraft applications, investigating propeller slipstream interactions and wing near-wake behavior on a turboprop scaled model in collaboration with institutions including Delft University of Technology and DNW. Though his citation counts are still growing — reflecting the relative novelty of his publications — his methodological contributions position him as a pioneer in large-volume experimental flow diagnostics.

Research Focus

Key Achievements

3
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Investigation of the Ahmed body cross-wind flow topology by robotic volumetric PIV
5 citations · 2019
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 5

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago