Mixing Enhancement for Binary Fluids Using PDE-Constrained Optimization
Offered By: APS Physics via YouTube
Course Description
Overview
Explore a 35-minute conference talk on enhancing mixing efficiency for binary fluids through PDE-constrained optimization. Delve into the research of Maximilian Eggl and Peter J. Schmid, who propose innovative approaches to improve stirring protocols and stirrer shapes. Learn how their gradient-based framework targets both stirring strategy and cross-sectional stirrer shape to achieve better mixedness within energy constraints. Discover the significant improvements in fluid homogeneity achieved through this optimization method. Gain insights from Eggl's presentation and the subsequent Q&A session moderated by PRFluids Editorial Board Member Viswanathan Kumaran, offering a comprehensive look at this promising advancement in fluid mixing technology.
Syllabus
Mixing enhancement for binary fluids using PDE-constrained optimization
Taught by
APS Physics
Related Courses
Differential Equations in ActionUdacity Dynamical Modeling Methods for Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera An Introduction to Functional Analysis
École Centrale Paris via Coursera Practical Numerical Methods with Python
George Washington University via Independent The Finite Element Method for Problems in Physics
University of Michigan via Coursera