Northwestern University

Neelesh A Patankar

John Erik Pandolfino

Kyoo-Chul Park

Youhua Jiang

Peter James Kahrilas

Dustin Carlson

Shashank Acharya

Natalia Alvarez

Nishant Nangia

Sourav Halder

Wenjun Kou

Flow through tubular organs (e.g., the esophagus) is analyzed based on fluid mechanics analysis of medical images. Using computational fluid dynamics, a reduced-order model is constructed and implemented to predict flow rate and fluid pressure developed inside flexible tubular organs inside the body. As one non-limiting example, the constructed model can be applied to analyze esophageal transport using fluoroscopy image sequences to predict flow rate, pressure, esophagus wall stiffness, and active relaxation.

Analysis tool for performing patient-specific analysis of flows through flexible tubular organs

Described here are systems and methods for four-dimensional manometry, which can include generating and displaying rendering data that simultaneously depict spacetime variations in impedance, pressure, and esophageal luminal morphology. From these data, bolus tracking and esophageal opening and velocity data can be measured and visualized without the need for additional imaging, thereby reducing a subject's exposure to otherwise necessary ionizing radiation.

Four-dimensional manometry

Omniphilic and superomniphilic surfaces for simultaneous vapor condensation and airborne liquid droplet collection are provided. Also provided are methods for using the surfaces to condense liquid vapor and/or capture airborne liquid droplets, such as water droplets found in mist and fog. The surfaces provide enhanced capture and transport efficiency based on preferential capillary condensation on high surface energy surfaces, thin film dynamics, and force convection.

Surfaces with high surface areas for enhanced condensation and airborne liquid droplet collection

Systems, methods, and computer readable media to simulate and predict translational and/or rotational velocity of a moving vehicle based on a determination of engine load for the vehicle are disclosed. An example vehicle motion simulator system includes a speed and stability predictor to simulate and predict a translational and rotational velocity of a moving vehicle based on a determination of engine load for the moving vehicle characterized by the speed and stability predictor. The example speed and stability predictor to execute instructions to at least: compute a nearest wall distance for the moving vehicle in an environment; solve an eddy viscosity for the environment; solve a flow velocity for the environment; and determine vehicle motion to characterize a speed and stability of the moving vehicle based on the wall distance, eddy viscosity, and flow velocity.

Systems and methods for computational simulation of self-propelling vehicles for aerodynamic design

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Buffalo Grove, IL, United States of America

Neelesh A Patankar