Proposal of an open-source computational toolbox for solving PDEs in the context of chemical reaction engineering using FEniCS and complementary components

Ortiz-Laverde, Santiago; Rengifo, Camilo; Cobo, Martha; Figueredo, Manuel

doi:10.1016/j.heliyon.2020.e05772

Cited by 6 publications

(2 citation statements)

References 57 publications

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“…Such models can range in complexity from 0D lumped parameter models of blood flow (53,54) to 3D patient-specific models to replicate realistic cardiac haemodynamics (7,8,50,(55)(56)(57)(58)(59). Modelling of CFD requires integration in software packages such as CRIMSON, SimVascular and ELMER to perform simulations of cardiovascular flows in 0-3D (60)(61)(62)(63)(64).…”

Section: Imaging and Modelling Of Virchow's Triad 31 Blood Stasismentioning

confidence: 99%

Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke

Qureshi

Lip

Nordsletten

et al. 2023

Front. Cardiovasc. Med.

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Atrial fibrillation (AF) underlies almost one third of all ischaemic strokes, with the left atrial appendage (LAA) identified as the primary thromboembolic source. Current stroke risk stratification approaches, such as the CHA2DS2-VASc score, rely mostly on clinical comorbidities, rather than thrombogenic mechanisms such as blood stasis, hypercoagulability and endothelial dysfunction—known as Virchow’s triad. While detection of AF-related thrombi is possible using established cardiac imaging techniques, such as transoesophageal echocardiography, there is a growing need to reliably assess AF-patient thrombogenicity prior to thrombus formation. Over the past decade, cardiac imaging and image-based biophysical modelling have emerged as powerful tools for reproducing the mechanisms of thrombogenesis. Clinical imaging modalities such as cardiac computed tomography, magnetic resonance and echocardiographic techniques can measure blood flow velocities and identify LA fibrosis (an indicator of endothelial dysfunction), but imaging remains limited in its ability to assess blood coagulation dynamics. In-silico cardiac modelling tools—such as computational fluid dynamics for blood flow, reaction-diffusion-convection equations to mimic the coagulation cascade, and surrogate flow metrics associated with endothelial damage—have grown in prevalence and advanced mechanistic understanding of thrombogenesis. However, neither technique alone can fully elucidate thrombogenicity in AF. In future, combining cardiac imaging with in-silico modelling and integrating machine learning approaches for rapid results directly from imaging data will require development under a rigorous framework of verification and clinical validation, but may pave the way towards enhanced personalised stroke risk stratification in the growing population of AF patients. This Review will focus on the significant progress in these fields.

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Section: Imaging and Modelling Of Virchow's Triad 31 Blood Stasismentioning

confidence: 99%

Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke

Qureshi

Lip

Nordsletten

et al. 2023

Front. Cardiovasc. Med.

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“…Hot spots are created as a result of either nonuniform activity of the catalysts or lack of heat transfer due to a low reactive stream flow rate. This problem has promoted many researchers to address this issue through either experimental investigations or modeling and simulations 5–11. Some of them ascertained that a comprehensive heat transfer modeling is a necessity if an excellent and safe PBC design is desired.…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer at a Particle‐Tube Wall Contact Point: Impact of Catalyst Configuration on Hot Spots

2021

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Hot spots tend to cause serious problems owing to probable damages to the reactor wall in intense endothermic reactions leading to safety concerns and enormous repairing costs. The heat transfer of a single cylindrical particle is studied empirically and numerically to evaluate hot spot creation close to the bed wall. Computational fluid dynamcis (CFD) methodology is used to solve the momentum, continuity, and energy equations simultaneously. The newly developed experimental method is applied to validate simulation data using the Chilton‐Colburn analogy. The particle rotation over the X, Y, and Z axes is studied and analysis of variance (ANOVA) is employed to statistically investigate the particle rotation effects on the dimensionless maximum temperature of the reactor wall.

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CFD-aided conceptual design of an intensified reactor for the production of synthetic natural gas within the power-to-methane context

Ortiz-Laverde

Rengifo

Cobo

et al. 2022

Chemical Engineering and Processing - Process Intensification

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Proposal of an open-source computational toolbox for solving PDEs in the context of chemical reaction engineering using FEniCS and complementary components

Cited by 6 publications

References 57 publications

Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke

Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke

Heat Transfer at a Particle‐Tube Wall Contact Point: Impact of Catalyst Configuration on Hot Spots

CFD-aided conceptual design of an intensified reactor for the production of synthetic natural gas within the power-to-methane context

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