Image-based Fluid Dynamics Lab
Welcome to the Image-based Fluid Dynamics (IFD) Lab website at Purdue University Indianapolis (PIN). It describes our group and research activities in the area of computational and experimental fluid dynamics in complex flow systems, of which the flow domains are extracted from imaging data. We currently focus on three types of complex flows: pore-scale fluid dynamics in porous media, multiphase flow, and blood flow in diseased human vessels. By revealing the fluid dynamics, we support material scientists, applied mathematicians, and clinicians to establish new materials, new flow models, and new hemodynamic indices and guidelines for the proper interventional treatment of vascular diseases. To address the critical engineering and medical problems, we integrate unified modeling of image segmentation and computational fluid dynamics and seamless connection of both, GPU parallelization, image-based and physics-informed deep learning, and uncertainty quantification, which advance science and engineering at the same time. The experiment facility in the lab is invested in by Dr. Alan P. Sawchuk. The imaged-based experimental hemodynamics is to support image-based computational hemodynamics for several medical projects.
If you are interested in discussion and/or collaboration, please feel free to contact us using the information given on the right.
With best wishes,
