Les plus beaux projets ANSYS 2019… principalement Healthcare et Sports

les résultats du concours des plus beaux projets 2019 d’ANSYS sont sortis, avec plusieurs catégorires telles que:

  • projets commerciaux
  • Universités et Instituts de Recherche
  • startup

le secteur Santé/Sports s’est illustré dans les domaines académiques pour les startups avec notamment:

Meilleurs Universités et Instituts de Recherche: 

  1. le projet de l’Université d’Eidhoven visant à monter quelle est la meilleure position dans un peloton cycliste compte tenu des écoulement d’air simulés grâce à la gamme Fluids  

By using CFD, the aerodynamic drag of each cyclist can be assessed. To fully resolve the thin viscous/laminar sublayer of the boundary layer and the buffer layer, which is important to correctly reproduce boundary layer separation and laminar-to-turbulent transition, a high-resolution grid at the surface of every cyclist and bicycle is required. Grid-sensitivity analysis indicated the need for 40 prism layers with a wall-adjacent cell height of 20 μm and a growth ratio below 1.1. These stringent grid requirements would result in grids containing nearly 3 billion cells. https://www.ansys.com/fr-fr/other/hall-of-fame/archive/2019/eindhoven-university-ku-leuven


2. la constitution du jumeau numériques des flux sanguins dans le coeur, comparés aux essais cliniques par l’Université de Linkoping grâce à la gamme Fluids


Cardiovascular disease is the number one cause of death globally; early detection is crucial for patient outcome. To complement traditional clinical investigations, and to gain new insights into the function and physiology of heart disease, a simulation framework based on clinical CT data was developed and applied to a cohort of 12 patients with suspected cardiac disease. Results were compared to clinical flow measurements using MRI. https://www.ansys.com/fr-fr/other/hall-of-fame/archive/2019/linkoping





3. Les recherches du Pr Yu Feng de l’Université d’Oklahoma visant à simuler comment les particules d’un mdicament se propagent au sein des poumons sur une base de modèle transitoire groace aux gammes Structures  et Fluides

Computational Fluid Dynamic (CFD) models were employed for lung aerosol dynamics studies, which can provide in-depth knowledge based on the natural laws of physics in a noninvasive manner. However, existing CFD models assumed thatthe lung airway walls are rigid, which limited the modeling of the lung compliance effect on airflow and particle transport dynamics. Thus, determining real-time lung deformation was hampered during airflow and particle transport simulations. Additionally, due to the imaging resolution limits of CT/MRI scans, the reconstructed human respiratory system can only reach generation 6 (G6). Therefore, it was necessary to develop an elastic lung model to simulate airflow and pressure distributions, as well as the respirable particle dynamics in human respiratory systems containing more generations.https://www.ansys.com/fr-fr/other/hall-of-fame/archive/2019/okstate



Meilleure Startup

un test de prothèse du pied grâce à la startup MECURIS GmbH

In the early design phase of a prosthetic product, performing evaluations on test stands or human users is time-consuming and involves high costs. Additionally, only a limited number of designs can be manufactured and tested. Simulation not only enables engineers to design a product based on its functional requirements, but also allows them to test a large set of design samples before prototyping.https://www.ansys.com/fr-fr/other/hall-of-fame/archive/2019/mecuris