Bulletin of the American Physical Society
77th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 24–26, 2024; Salt Lake City, Utah
Session ZC16: CFD: Applications II |
Hide Abstracts |
Chair: Todd Oliver, Oden Institute for Computational Engineering and Sciences Room: 155 F |
Tuesday, November 26, 2024 12:50PM - 1:03PM |
ZC16.00001: Hydrodynamic and Mass transfer characterization at the oil water interface in a three phase model metallurgical ladle Jacob Maarek, Stephane L Zaleski, Stephane Popinet We investigate a three-phase flow inspired by the ladle metallurgical secondary refinement process. A container of water, modelling the molten metal, is topped by a thin layer of oil, modelling the slag. The system is agitated by the injection of air at the bottom, creating a bubble plume that merges into the air at the top of the system. Thymol, acting as a passive scalar, is dissolved from the water into the oil. We perform theoretical, numerical, and experimental studies of both the hydrodynamic and mass transfer properties of the system. A DNS is performed of the three-phase flow and the scalar transport equation modeling the dissolution of thymol is performed using a subgrid-scale SGS model. |
Tuesday, November 26, 2024 1:03PM - 1:16PM |
ZC16.00002: Personalized drag analysis of elite time trial cyclists using high resolution scanning and CFD simulations Yvet Maathuis, Andreas Top Adler, Hamish Straatman, Jens Honore Walther Within elite time trial cycling, the difference between winning and losing can be marginal. Aerodynamic studies within cycling traditionally involve using either a person or a mannequin, often only a single subject. Given the diversity in cyclists' body types—each having unique height, width, muscle mass, and physiological capabilities—it is crucial to investigate how different body types influence the results obtained from CFD simulations. In this research, four elite cyclists are 3D scanned using a high-precision 3D scanner to obtain detailed digital models. The digital models are utilized to perform CFD simulations, evaluating their drag areas across different turbulence models: URANS k-ω SST, URANS k-ω SST with transition modeling, and DES. Preliminary results show that different cyclists have varying sensitivities to the inclusion of transition in the k-ω SST model, suggesting that different body types significantly influence aerodynamic performance predictions. |
Tuesday, November 26, 2024 1:16PM - 1:29PM |
ZC16.00003: Quantum-Inspired Simulations of Reacting Flows Juan Jose Mendoza-Arenas, Robert Pinkston, Hirad Alipanah, Peyman Givi, Nikita Gourianov, Dieter Jaksch The matrix product state (MPS) representation, developed for approximating the state of quantum many-body systems, exploits their correlation structure to accurately capture the underlying physics in a low-rank form (i.e., in a massively reduced state space). Here, this quantum-inspired methodology is employed for simulating chemically reacting flows. In doing so, the governing differential equations representing compressible, reacting flows are recast in the context of MPS, and their dynamics are simulated with various degrees of truncation. Simulations are performed to assess the effects of the Reynolds number, the Mach number, the Damköhler number and the heat release parameter on the structure of the flow. The results via MPS-reduced order solutions are appraised against those generated via direct numerical simulation of the same flows. Advances on the simulation of reacting flows on quantum computing devices are also discussed. |
Tuesday, November 26, 2024 1:29PM - 1:42PM |
ZC16.00004: Validating LES predictions of the flow in a swirl-stabilized plasma torch geometry Todd Oliver, Sigfried W Haering, Dillon Ellender, Dan Fries, Noel T Clemens, Robert D Moser Inductively coupled plasma torches have a variety of industrial and |
Tuesday, November 26, 2024 1:42PM - 1:55PM |
ZC16.00005: Influence of geometry modeling approaches in a urban microscale large eddy simulation with realistic inflow conditions Ivan Paden, Domingo Muñoz-Esparza, Jeremy A Sauer, Hugo Ledoux, Clara García-Sánchez Geometry preparation is a major challenge in computational fluid dynamics (CFD) simulations of urban wind flow due to large domains and complex structures. The lack of high-quality 3D city models, due to limitations in building reconstruction algorithms and the lack of high-quality data, often leads to the use of oversimplified cubic geometries to represent urban environments. This study examines the necessity of detailed building models in accurately simulating wind flow using large eddy simulation (LES) with realistic inflow conditions. |
Tuesday, November 26, 2024 1:55PM - 2:08PM |
ZC16.00006: Modelling and simulation of interfacial flows featuring surface viscous effects Paula Daniela Pico, Debashis Panda, Lyes Kahouadji, Jalel Chergui, Damir Juric, Seungwon Shin, Omar K. Matar Interfacial flows are accompanied by stresses which dilate, compress, or shear the deforming interface. Constitutive assumptions are commonly made to describe the transmission of the interfacial stresses to the bulk phases. The simplest interface corresponds to an inviscid surface with an extensible line tension in which stress is transmitted via a normal pressure-jump across the interface. Complexity arises in the presence of surface-active species that spatiotemporally alter the line tension as a function of surfactant concentration leading to an elastic effect at the surface. Increasing the surfactant concentration leads to complex structures that respond to deformation and shear, leading to the emergence of interfacial rheology. The most utilised surface-viscous interface model is the Newtonian surface commonly known as the Boussinesq-Scriven interface [1]. Two major features of the surface rheology are the shear and dilatational surface viscosities, which can be understood in terms of their bulk analogues. In this work, we first review the Boussinesq-Scriven fluid interface utilised in different coordinate systems in the literature to draw attention to the correct choice of mathematical model formulation. Next, we present a numerical method based on the use of our in-house multiphase code, BLUE[2], which exploits the advantages of a Lagrangian interface embedded within a Eulerian grid to construct the surface viscous stresses. Finally, we present benchmark problems, such as drop deformation in simple shear flows, and capillary-gravity wave formation, to elucidate the significance of the interfacial rheology in the nonlinear regime. |
Tuesday, November 26, 2024 2:08PM - 2:21PM |
ZC16.00007: A comprehensive analysis of flow behavior on superhydrophobic surfaces in Taylor-Couette flow Ali SAFARI, Shuhuai Yao Superhydrophobic surfaces (SHSs) have shown their potential for drag reduction in various flow conditions. However, a comprehensive understanding of the flow behavior and underlying physics on SHSs in various flow regimes remains elusive. In this work, we conducted a comprehensive analysis of SHSs in Taylor-Couette flow by simulation and experiment. We conducted computational fluid dynamics (CFD) simulation based on Navier's slip model with two numerical methods, including unsteady Reynolds-averaged Navier–Stokes (URANS) and large eddy simulation (LES). In addition, we employed Particle Image Velocimetry (PIV) to visualize flow patterns and phenomena using a custom-designed flow cell coupled with a Taylor-Couette apparatus. The PIV measurements were used to validate the numerical simulations, providing a more comprehensive understanding of the flow behavior on SHSs. We investigated the differences in flow patterns, vortex formation, and the Reynolds stress tensor between smooth surface and flat SHS. These findings offer deeper insights into the flow behavior on SHSs in Taylor-Couette flow that may be used to guide the design and optimization of fluid flow systems incorporating SHSs, ultimately enhancing their performance and efficiency. |
Tuesday, November 26, 2024 2:21PM - 2:34PM |
ZC16.00008: 3D Reconstruction of the Left Ventricle and Valves Using 2D Echocardiography for CFD Sai Sree Chandra Sirani, Iman Borazjani The deformation of the left ventricle (LV) is important as it plays a significant role in blood circulation. Echocardiography (echo), a non-invasive imaging method, is coupled with CFD to carry out ventricular flow simulations. Six standard 2D echo projections (3 long-axis and 3 short-axis) are used to perform a 3D reconstruction of the LV. The reconstruction also includes torsional motion which is part of LV dynamics and is expected to influence ventricular flow. The lateral short-axis sections are provided with rotation about each layer's geometric centre. From base to apex, linear interpolation is employed to add torsion to the lateral sections. Therefore, both linear and angular deformation are reconsidered for the 3D reconstruction of LV. Upon mitral and aortic valve reconstruction, ventricular flow simulations are carried out. The geometric verification is done with respect to sonomicrometry data. It is intended to compare the results against Doppler velocity (ultrasound) measurements and invasive pressure (catheter) readings as part of CFD validation. |
Tuesday, November 26, 2024 2:34PM - 2:47PM |
ZC16.00009: Rediscovering the Tesla Valve: Geometric Optimization through Machine Learning Andrew N Sparrow, Jett Isley, Walter C Smith A study into the Tesla Valve’s design was conducted across a large parameter set for optimization of the valve’s use as a pressure drop device. A single Tesla Valve was geometrically parameterized, and an automated design of experiments was created to cycle through a wide selection of geometric parameters. The geometric parameters selected each influenced the amount of flow segregated into the arms of the Tesla Valve, as well as the divergence and convergence angles of the arm flow. Data was collected from completed computational fluid dynamics simulations across all geometric parameter combinations. Tesla valve designs were assessed in the restricted flow direction for overall differential pressure and overall minimum pressure to avoid onset of cavitation. Machine Learning analysis resulted in a robust model across a wide range of Reynolds numbers. The minimum simulation pressure demonstrated the required system pressure to prevent onset of cavitation in the flow field. Qualitative observations of overall behavior of a single Tesla Valve were made, identifying critical parameters to the design such as the symmetry ratio and passage diameter ratio. An optimal design within the parameter set was identified maximizing pressure differential while meeting the required system pressure. The techniques utilized demonstrate a tool in the study of various complex geometries within Fluid Dynamics, as the possibility of more complex designs are now achievable through modern Additive Manufacturing techniques. |
Tuesday, November 26, 2024 2:47PM - 3:00PM |
ZC16.00010: Computational Modeling of Pancreatic Duct Flows for a Novel Non-invasive Diagnosis of Chronic Pancreatitis Haobo Zhao, Jung-Hee Seo, Venkata Akshintala, Ibadat Boparai, Rajat Mittal Chronic pancreatitis with debilitating abdominal pain can be caused by pancreatic ductal hypertension. The origin and biomechanical mechanism of the pancreatic ductal hypertension, however, have not been well understood, and this limits the success rate of endotherapy and surgery to relieve hypertension. In order to investigate the correlation between pancreatic ductal pressure and abdominal pain, we performed patient-specific image-based computational fluid dynamic analysis of pancreatic duct flows. A 3D model of the pancreatic duct is reconstructed from a magnetic resonance cholangiopancreatography (MRCP) imaging data, and the computational fluid dynamics simulation is performed to determine the flow pattern and measure the pressure drop across the duct. The simulation results are compared with the in-vivo measurements done in endoscopic retrograde cholangiopancreatography (ERCP), and the correlation between the ductal pressure drop and the patient pain score is analyzed. |
Follow Us |
Engage
Become an APS Member |
My APS
Renew Membership |
Information for |
About APSThe American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics. |
© 2025 American Physical Society
| All rights reserved | Terms of Use
| Contact Us
Headquarters
1 Physics Ellipse, College Park, MD 20740-3844
(301) 209-3200
Editorial Office
100 Motor Pkwy, Suite 110, Hauppauge, NY 11788
(631) 591-4000
Office of Public Affairs
529 14th St NW, Suite 1050, Washington, D.C. 20045-2001
(202) 662-8700