Best Practices in Computational Fluid Dynamics Modeling of Cerebral Aneurysms using ANSYS CFX

Today many researchers are looking toward computational fluid dynamics (CFD) as a tool that can help doctors understand and predict the severity of aneurysms, but there has yet to be any conclusive proof of the accuracy or the ease of implementation of this CFD analysis. To help solve this issue, CFD simulations were conducted to compare these setup practices in order to find the most accurate and computationally efficient setup. These simulation comparisons were applied over two CFD group challenges from the CFD community whose goal was not only to assess modeling accuracy, but the analysis of clinical use and the hemodynamics of rupture as well. Methodology compared included mesh style and refinement, timestep comparison, steady and unsteady flow comparison as well as flow rate amplitude comparison, inlet flow profile conditions, and outlet boundary conditions. The “Best Practice” setup gave good overall results compared with challenge participant and in-vitro data

Design of 500 W Class SOFC Stack with Homogeneous Cell Performance

Our planar SOFC stacking technology uses unprofiled metallic interconnects (MIC) and thin cells of tape cast anode supported YSZ. The key element is the gas diffusion layer (GDL) between cell and MIC, which consists of so-called SOFConnex™. Using square cells with internal manifolds, 0.5 W/cm2 stack power density (800°C) can be obtained on short stacks. However, this open design configuration limits the assembly of large stacks and the durability of operation, owing to postcombustion and redox cycling occurring at unprotected cell edges. A new design, inspired from modeling work and the adaptability of the SOFConnex™ GDL, led to oblong-shaped cells, assembled in a closed stack casing with external air manifolding and fuel recovery manifolding, avoiding postcombustion. While stack power density in both designs remains similar, the operation at increased fuel utilization has become more stable in the 2nd design. Furthermore, a correlation of performance homogeneity during stack testing was drawn to assembly quality control. A 36-cell stack in dilute H2 at 800°C achieved 625 Wel (28% LHV efficiency, 0.35 W/cm2) under continuous polarisation, with all 6 clusters of 6 cells showing coincident i-V-output

Study design and baseline profile for adults with type 2 diabetes in the once-weekly subcutaneous SEmaglutide randomized PRAgmatic (SEPRA) trial

Introduction Once-weekly subcutaneous semaglutide, a glucagon-like peptide-1 analog, is approved in the USA as an adjunct to diet and exercise for adults with inadequately controlled type 2 diabetes (T2D) to improve glycemic control and reduce the risk of major adverse cardiovascular events in people with T2D and established cardiovascular disease. The Semaglutide Unabated Sustainability in Treatment of Type 2 Diabetes (SUSTAIN) phase III clinical trial program demonstrated the efficacy and safety of once-weekly subcutaneous semaglutide; however, determining its effectiveness in a real-world setting could support decision-making by clinicians, payers and policy makers in routine clinical practice.Research design and methods SEmaglutide PRAgmatic (SEPRA) is an ongoing open-label, randomized, pragmatic clinical trial designed to compare the effects of once-weekly subcutaneous semaglutide versus standard of care in US health-insured adults with T2D and physician-determined inadequate glycemic control. The primary end point is the proportion of participants achieving glycated hemoglobin (HbA1c) <7.0% at year 1; other key outcomes include glycemic control, weight loss, healthcare utilization, and patient-reported outcomes. Individual-level data will be collected from routine clinical practice and health insurance claims. The last patient last visit is expected by June 2023.Results Between July 2018 and March 2021, 1278 participants were enrolled from 138 study sites across the USA. At baseline, 54% were male with mean±SD age 57.4±11.1 years and body mass index 35.7±8.0 kg/m2. Mean diabetes duration was 7.4±6.0 years and mean HbA1c was 8.5±1.6%. At baseline, concomitant antidiabetes medications included metformin, sulfonylureas, sodium-glucose co-transporter-2 inhibitors, and dipeptidyl peptidase-4 inhibitors. The majority of participants had hypertension and dyslipidemia. The trial design was self-assessed using the PRagmatic Explanatory Continuum Indicator Summary-2 tool by the study steering group and was scored 4–5 in all domains suggesting a highly pragmatic study.Conclusions SEPRA, a highly pragmatic ongoing study, will provide data on the effects of once-weekly subcutaneous semaglutide in a real-world setting when used during routine management of T2D.Trial registration number NCT03596450.Trial registration numbe

PROGRESS IN STACK POWER DENSITY USING THE SOFCONNEX™ CONCEPT

Our SOFC stack development technology is based on the unique SOFConnexTM concept, using flexible gas distribution layers between metal sheet interconnect and thin ASE cells. Flexibility is given both in material and design. This ensures proper electrical contact over the whole cell (50 cm2 active), without necessitating restrictive cell fabrication tolerances, and allows easy adaptation and evolution of the flowfields. With the presently used configuration, several multiple cell stacks were assembled and tested. Reproducible stack power density (H2 fuel, λ = 1.5-2, 800°C maximum local temperature) is 0.5 W/cm2 at 0.7 V average cell voltage (1.5 kWe/L), for 67% fuel utilisation (35% LHV electrical efficiency). Performance with simulated POX-syngas (H2/CO/N2) was close to that with H2. Degradation is the focus of attention now that adequate power density and efficiency using the SOFConnex™ approach have been established and reproduced

Walking with the senses - Perceptual techniques for walking in simulated environments

As we walk along concrete city sidewalks, over gravel paths, or across tiled building lobbies, we are continuously exposed through our footsteps to highly structured information about the ground, through the feelings we experience and the sounds we hear. The present volume documents recent research that has aimed at reinforcing our understanding of how our feet interact with surfaces on which we walk, and at characterizing those sensations we have when walking that help us to interpret space in intuitive ways and that can be replicated via new technologies toward building realistic virtual environments. The chapters it contains notably review advances that were achieved within the multidisciplinary European project Natural Interactive Walking. Through the development of new technologies for enhancing spaces, floors, and footwear in ways that allow them to provide simulated experiences of attributes of everyday walking surfaces, the research covered here attempts to enable the designers of new technological systems to engender a real sense of \u201cbeing there\u201d, particularly through the use of data coming from the haptic (touch) and auditory (sound) perceptual channels, or in tandem with them. It illustrates how knowledge about the ways that users experience their surroundings during walking can be used to create perceptually rich and plausible experiences of walking in diverse natural and man-made environments. This work may lead to radically new approaches to interaction with digital information, for example in airports, railway stations, public urban spaces, or in virtual environments used for immersive training purposes. It could, for example, be applied to the creation of intuitive navigation aids, such as landmarking, guidance to locations of interest, \u201ceyes-free\u201d signaling, and warning about obstacles and restricted areas. Such research may also open the door to the creation of better assistive tools for visually-impaired and other special-needs users

The Computational Fluid Dynamics Rupture Challenge 2013 - Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms

With the increased availability of computational resources, the past decade has seen a rise in the use of computational fluid dynamics (CFD) for medical applications. There has been an increase in the application of CFD to attempt to predict the rupture of intracranial aneurysms, however, while many hemodynamic parameters can be obtained from these computations, to date, no consistent methodology for the prediction of the rupture has been identified. One particular challenge to CFD is that many factors contribute to its accuracy; the mesh resolution and spatial/temporal discretization can alone contribute to a variation in accuracy. This failure to identify the importance of these factors and identify a methodology for the prediction of ruptures has limited the acceptance of CFD among physicians for rupture prediction. The International CFD Rupture Challenge 2013 seeks to comment on the sensitivity of these various CFD assumptions to predict the rupture by undertaking a comparison of the rupture and blood-flow predictions from a wide range of independent participants utilizing a range of CFD approaches. Twenty-six groups from 15 countries took part in the challenge. Participants were provided with surface models of two intracranial aneurysms and asked to carry out the corresponding hemodynamics simulations, free to choose their own mesh, solver, and temporal discretization. They were requested to submit velocity and pressure predictions along the centerline and on specified planes. The first phase of the challenge, described in a separate paper, was aimed at predicting which of the two aneurysms had previously ruptured and where the rupture site was located. The second phase, described in this paper, aims to assess the variability of the solutions and the sensitivity to the modeling assumptions. Participants were free to choose boundary conditions in the first phase, whereas they were prescribed in the second phase but all other CFD modeling parameters were not prescribed. In order to compare the computational results of one representative group with experimental results, steady-flow measurements using particle image velocimetry (PIV) were carried out in a silicone model of one of the provided aneurysms. Approximately 80% of the participating groups generated similar results. Both velocity and pressure computations were in good agreement with each other for cycle-averaged and peaksystolic predictions. Most apparent outliers (results that stand out of the collective) were observed to have underestimated velocity levels compared to the majority of solutions, but nevertheless identified comparable flow structures. In only two cases, the results deviate by over 35% from the mean solution of all the participants. Results of steady CFD simulations of the representative group and PIV experiments were in good agreement. The study demonstrated that while a range of numerical schemes, mesh resolution, and solvers was used, similar flow predictions were observed in the majority of cases. To further validate the computational results, it is suggested that time-dependent measurements should be conducted in the future. However, it is recognized that this study does not include the biological aspects of the aneurysm, which needs to be considered to be able to more precisely identify the specific rupture risk of an intracranial aneurysm

The Computational Fluid Dynamics Rupture Challenge 2013—Phase II: variability of hemodynamic simulations in two intracranial aneurysms

With the increased availability of computational resources, the past decade has seen a rise in the use of computational fluid dynamics (CFD) for medical applications. There has been an increase in the application of CFD to attempt to predict the rupture of intracranial aneurysms, however, while many hemodynamic parameters can be obtained from these computations, to date, no consistent methodology for the prediction of the rupture has been identified. One particular challenge to CFD is that many factors contribute to its accuracy; the mesh resolution and spatial/temporal discretization can alone contribute to a variation in accuracy. This failure to identify the importance of these factors and identify a methodology for the prediction of ruptures has limited the acceptance of CFD among physicians for rupture prediction. The International CFD Rupture Challenge 2013 seeks to comment on the sensitivity of these various CFD assumptions to predict the rupture by undertaking a comparison of the rupture and blood-flow predictions from a wide range of independent participants utilizing a range of CFD approaches. Twenty-six groups from 15 countries took part in the challenge. Participants were provided with surface models of two intracranial aneurysms and asked to carry out the corresponding hemodynamics simulations, free to choose their own mesh, solver, and temporal discretization. They were requested to submit velocity and pressure predictions along the centerline and on specified planes. The first phase of the challenge, described in a separate paper, was aimed at predicting which of the two aneurysms had previously ruptured and where the rupture site was located. The second phase, described in this paper, aims to assess the variability of the solutions and the sensitivity to the modeling assumptions. Participants were free to choose boundary conditions in the first phase, whereas they were prescribed in the second phase but all other CFD modeling parameters were not prescribed. In order to compare the computational results of one representative group with experimental results, steady-flow measurements using particle image velocimetry (PIV) were carried out in a silicone model of one of the provided aneurysms. Approximately 80% of the participating groups generated similar results. Both velocity and pressure computations were in good agreement with each other for cycle-averaged and peaksystolic predictions. Most apparent "outliers" (results that stand out of the collective) were observed to have underestimated velocity levels compared to the majority of solutions, but nevertheless identified comparable flow structures. In only two cases, the results deviate by over 35% from the mean solution of all the participants. Results of steady CFD simulations of the representative group and PIV experiments were in good agreement. The study demonstrated that while a range of numerical schemes, mesh resolution, and solvers was used, similar flow predictions were observed in the majority of cases. To further validate the computational results, it is suggested that time-dependent measurements should be conducted in the future. However, it is recognized that this study does not include the biological aspects of the aneurysm, which needs to be considered to be able to more precisely identify the specific rupture risk of an intracranial aneurysm