The Laboratory for the computation of multiphase flows | Laboratoire de calcul des écoulements polyphasiques at Polytechnique Montréal, specializes in computational fluid dynamics (CFD) with a focus on modelling and understanding multiphase flows—systems where different phases, such as gas-liquid or fluid-solid, interact dynamically. Our work bridges physical modelling and numerical computation to develop and utilize cutting-edge tools for predicting and analyzing these flows. Through our research, we aim to advance both fundamental understanding and practical applications of multiphase flow systems.
News and recent developments
February 26, 2025 | New peer-reviewed paper published
The investigation of nonlinear acoustics requires sophisticated and tailored methods to advance the state of the art. In a new paper published in the SoftwareX, we present our software tool Wave-DNA for the simulation of nonlinear acoustic waves emitted by stationary or moving boundaries in quiescent or moving fluids. Wave-DNA, which is available open source, is based on the convective Kuznetsov equation, a second-order nonlinear acoustic wave equation that accounts for the background flow. A tailored finite-difference time-domain method with time-dependent coordinate transformation enables the accurate simulation of acoustic waves emitted by moving boundaries.
February 13, 2025 | Member-at-Large
Fabian has been elected as a new Member-at-Large of the Canadian Association for Computational Science and Engineering (CACSE) for a 4-year term. CACSE's objective is to promote and foster education, research, and industrial practice in computational science and engineering throughout Canada, as well as to organize and coordinate topical conferences and other activities.
December 27, 2024 | New peer-reviewed paper published
In a new paper published in the International Journal of Multiphase Flow, we study the aerodynamics force and torque coefficients of non-spherical particles in compressible flows using particle-resolved direct numerical simulations. Contrary to prior research on the particle dynamics in compressible flows, which has been limited to spherical particles, this study considers different canonical particle shapes and develops correlations for the drag, lift and torque coefficients for particle Mach numbers in the range 0.3 to 2. These correlations can, for example, be used to improve the accuracy of point-particle simulations, enabling better predictions of compressible particle-laden flows.
Our research is supported by:
