2023 AIChE Annual Meeting

Session: Data Science for Complex Fluids and Complex Flows

Co-Chairs

Sarah Hormozi, Cornell University
Michael Howard, University of Texas At Austin

Presentations

03:30 PM

(422a) Simple (Scattering-Informed Microstructure Prediction during Lagrangian Evolution) – a Data-Driven Framework for Modeling Complex Fluids
Patrick Corona, Anukta Datta, Matthew Helgeson, Charles Young, Michael D. Graham

03:45 PM

(422b) Multi-Fidelity Data-Driven Design and Analysis of Reactor and Tube Simulations
Nausheen Basha, Antonio del Rio Chanona, Tom Savage, Omar Matar, Jonathan McDonough

04:00 PM

(422c) Comparative Study of Erosion Prediction in Elbows Using Machine Learning and CFD
Adel A. Alghamdi, Isa Mohammed, Thomas Abadie, Sibo Cheng, Omar Matar

04:15 PM

(422d) Data-Driven Symmetry-Aware Low-Dimensional Models for Predicting Turbulent Fluid Flows
Carlos E. Perez De Jesus, Alec Linot, Michael D. Graham

04:45 PM

(422f) Computational Analysis of Different Sparging Systems and Their Influence in the Fluid-Dynamic Behavior of Bubble Column Reactors.
John Parra-Alvarez, Malik Hassanaly, Mohammad Rahimi, Hari Sitaraman

05:00 PM

(422g) Validation of a Quadrature-Based Moment Method for the Simulation of Bubble Columns
Alexandra Sigel, Manjil Ray, Rodney Fox, Theodore Heindel, Alberto Passalacqua

05:15 PM

(422h) A Numerical Simulation of Droplet Coalescence
Yijing Jin

05:30 PM

(422i) Instabilities of Dilute Wormlike Micelle Solutions in 2D and 3D Circular Couette Flows
Richard Hommel, Michael D. Graham

05:45 PM

(422j) Molecualr Origin of Shearbanding in Entangled Polymeric Solutions
Bamin Khomami, Brian Edwards, Mahdi Boudaghi