Experimental investigation and CFD analysis of pressure drop in an ORC boiler for a WHRS implementation

Waste heat dissipated in the exhaust system of a combustion engine represents a major source of energy to be recovered and converted into useful work. The Waste Heat Recovery System (WHRS) based in an Organic Rankine Cycle (ORC) is an approach for recovering energy from heat sources, achieving a significant reduction in fuel consumption and, as a result, exhaust emissions. This paper studies pressure drop in an ORC shell-and-tubes boiler for a WHRS implementation experimentally and with computational simulations based on a 1-dimensional heat transfer model coupled with 3D calculations. An experimental database is developed, using ethanol in a pressure range of 10–15 absolute bar as working fluid, with mass fluxes inside the tubes in the range of 349.31 kg/s-m2 and 523.97 kg/s-m2, and inlet temperatures in the range of 60 °C and 80 °C. Thus, the friction factor of different regions of the boiler were estimated using both CFD simulations, experimental data, and bibliographic correlations. Simulations of operating points and the results of the experimental test bench showed good agreement in pressure drop results, with a mean absolute error of 15.47%, without a significant increment in the computational cost

Development of a pattern recognition methodology with thermography and implementation in an experimental study of a boiler for a WHRS-ORC

Waste heat dissipated in the exhaust system in a combustion engine represents a major source of energy to be recovered and converted into useful work. A waste heat recovery system (WHRS) based on an Organic Rankine Cycle (ORC) is a promising approach, and it gained interest in the last few years in an automotive industry interested in reducing fuel consumption and exhaust emissions. Understanding the thermodynamic response of the boiler employed in an ORC plays an important role in steam cycle performance prediction and control system design. The aim of this study is, therefore, to present a methodology to study these devices by means of pattern recognition with infrared thermography. In addition, the experimental test bench and its operating conditions are described. The methodology proposed identifies the wall coordinates, traces the paths, and tracks the wall temperature along them in a way that can be exported for subsequent post-processing and analysis. As for the results, through the wall temperature paths on both sides (exhaust gas and working fluid), it was possible to quantitatively estimate the temperature evolution along the boiler and, in particular, the beginning and end of evaporation

Numerical study of a thrombus migration risk in aneurysm after coil embolization in patient cases: FSI modelling

Purpose There are still many challenges for modelling a thrombus migration process in aneurysms. The main novelty of the present research lies in the modelling of aneurysm clot migration process in a realistic cerebral aneurysm, and the analysis of forces sufered by clots inside an aneurysm, through transient FSI simulations. Methods The blood fow has been modelled using a Womersley velocity profle, and following the Carreau viscosity model. Hyperelastic Ogden model has been used for clot and isotropic linear elastic model for the artery walls. The FSI coupled model was implemented in ANSYS® software. The hemodynamic forces sufered by the clot have been quantifed using eight diferent clot sizes and positions inside a real aneurysm. Results The obtained results have shown that it is almost impossible for clots adjacent to aneurysm walls, to leave the aneurysm. Nevertheless, in clots positioned in the centre of the aneurysm, there is a real risk of clot migration. The risk of migration of a typical post-coiling intervention clot in an aneurysm, in contact with the wall and occupying a signifcant percentage of its volume is very low in the case studied, even in the presence of abnormally intense events, associated with sneezes or impacts. Conclusions The proposed methodology allows evaluating the clot migration risk, vital for evaluating the progress after endovascular interventions, it is a step forward in the personalized medicine, patient follow-up, and helping the medical team deciding the optimal treatment.Universidade de Vigo/CISU

Analysis of the local growth and density evolution of soot deposits generated under hydrocarbon condensation: 3D simulation and detailed experimental validation

The utilization of the Exhaust Gas Recirculation (EGR) system during atypical engine operating conditions in order to meet future type-approval criteria exposes the internal surfaces of the devices to exhaust gas with elevated concentrations of particulate matter and greater amounts of hydrocarbon species, leading to the formation of dense and wet sludge deposits. To broaden the understanding of this phenomenon and contribute to the development of advanced EGR devices, this study presents an extended Computational Fluid Dynamics (CFD) model that, in addition to simulating the growth of fouling deposits caused by the accumulation of soot particles, also takes into account the condensation of hydrocarbons. Two scenarios with varying hydrocarbon concentrations in the exhaust flow are analysed, and the evolution of the deposit's thickness and density is determined. A sequential validation process is carried out by comparing the numerical results to actual deposit profiles at different stages of the fouling process. Additionally, hyperspectral images of the fouling layer have been acquired and analysed to validate the regions where hydrocarbon condensation is predicted to play a crucial role, enabling the verification of the hydrocarbon condensation phenomenon predicted by the numerical model. The results obtained under the studied conditions indicate that, on average, 77.4% of the analysed area exhibits a low level of relative error, demonstrating that the proposed model and the methodology used serve as a valuable tool for examining the propensity for deposit formation in devices subjected to fouling exacerbated by hydrocarbon condensation.Agencia Estatal de Investigación | Ref. PDC2021-121778-10

Sistemas fluidomecánicos no transporte: prácticas de simulacións numéricas

A tecnoloxía CFD, sigla de Computational Fluid Dynamics, en galego Dinámica de Fluídos Computacional, é unha técnica de análise numérica que permite determinar o comportamento dos fluídos mediante a realización de experimentos virtuais no ordenador. Esta técnica conta con varias décadas de desenvolvemento científico de respaldo, converténdose a día de hoxe nun dos estándares de análise para numerosos sectores industriais. É por iso que as simulacións numéricas son empregadas actualmente como eficaces ferramentas de diagnóstico nas etapas de deseño, mellora e optimización de produtos e procesos de fabricación en industrias como a naval, a automobilística, a aeroespacial, a hidráulica, as enerxías renovables, a enxeñería biomédica ou a construción. Co fin de achegar o emprego desta técnica ao alumnado do grado de Enxeñería Mecánica, este manual foi creado para servir de apoio á docencia da materia Sistemas fluidomecánicos e materiais avanzados para o transporte, enfocándose na aplicación práctica de simulacións numéricas en casos reais da enxeñería nos que se atopan involucrados fluxos de fluídos. Esta colección de exercicios prácticos pretende servir de axuda na etapa formativa do alumnado, facilitándolle a información necesaria e a metodoloxía que deberá empregar para levar a cabo o estudo de diferentes casos, e favorecendo así unha comprensión intuitiva dos problemas propostos mediante a análise dos resultados obtidos nas simulacións numéricas. Por tratarse dun dos programas de CFD máis empregados na industria, o software utilizado nas actividades deste manual é ANSYS Fluent 2020. Así tamén, as actividades propostas neste manual foron deseñadas para poder ser levadas a cabo contando cunhas esixencias computacionais accesibles para o alumnado, o cal poderá realizar nun tempo axeitado os exercicios aquí recollidos

Transcranial static magnetic stimulation reduces seizures in a mouse model of Dravet syndrome

[Abstract] Dravet syndrome is a rare form of severe genetic epilepsy characterized by recurrent and long-lasting seizures. It appears around the first year of life, with a quick evolution toward an increase in the frequency of the seizures, accompanied by a delay in motor and cognitive development, and does not respond well to antiepileptic medication. Most patients carry a mutation in the gene SCN1A encoding the α subunit of the voltage-gated sodium channel Nav1.1, resulting in hyperexcitability of neural circuits and seizure onset. In this work, we applied transcranial static magnetic stimulation (tSMS), a non-invasive, safe, easy-to-use and affordable neuromodulatory tool that reduces neural excitability in a mouse model of Dravet syndrome. We demonstrate that tSMS dramatically reduced the number of crises. Furthermore, crises recorded in the presence of the tSMS were shorter and less intense than in the sham condition. Since tSMS has demonstrated its efficacy at reducing cortical excitability in humans without showing unwanted side effects, in an attempt to anticipate a possible use of tSMS for Dravet Syndrome patients, we performed a numerical simulation in which the magnetic field generated by the magnet was modeled to estimate the magnetic field intensity reached in the cerebral cortex, which could help to design stimulation strategies in these patients. Our results provide a proof of concept for nonpharmacological treatment of Dravet syndrome, which opens the door to the design of new protocols for treatment.Instituto de salud Carlos III; PI21/00151Xunta de Galicia; ED431C 2022/05 (CR)Ministerio de Ciencia e Innovacion (España); PID2019-108250RJ-10

Revisiting the epidemiology of bloodstream infections and healthcare-associated episodes: results from a multicentre prospective cohort in Spain (PRO-BAC Study)

PROBAC REIPI/GEIH-SEIMC/SAEI Group.The epidemiology of bloodstream infections (BSIs) is dynamic as it depends on microbiological, host and healthcare system factors. The aim of this study was to update the information regarding the epidemiology of BSIs in Spain considering the type of acquisition. An observational, prospective cohort study in 26 Spanish hospitals from October 2016 through March 2017 including all episodes of BSI in adults was performed. Bivariate analyses stratified by type of acquisition were performed. Multivariate analyses were performed by logistic regression. Overall, 6345 BSI episodes were included; 2510 (39.8%) were community-acquired (CA), 1661 (26.3%) were healthcare-associated (HCA) and 2056 (32.6%) hospital-acquired (HA). The 30-day mortality rates were 11.6%, 19.5% and 22.0%, respectively. The median age of patients was 71 years (interquartile range 60–81 years) and 3656 (58.3%; 95% confidence interval 57.1–59.6%) occurred in males. The proportions according to patient sex varied according to age strata. Escherichia coli (43.8%), Klebsiella spp. (8.9%), Staphylococcus aureus (8.9%) and coagulase-negative staphylococci (7.4%) were the most frequent pathogens. Multivariate analyses confirmed important differences between CA and HCA episodes, but also between HCA and HA episodes, in demographics, underlying conditions and aetiology. In conclusion, we have updated the epidemiological information regarding patients’ profiles, underlying conditions, frequency of acquisition types and aetiological agents of BSI in Spain. HCA is confirmed as a distinct type of acquisition.This work was financed by grants from Plan Nacional de I+D+i 2013–2016, Instituto de Salud Carlos III, Subdirección General de Redes y Centros de Investigación Cooperativa, Ministerio de Ciencia, Innovación y Universidades [PI16/01432] and the Spanish Network for Research in Infectious Diseases (REIPI) [RD16/0016/0001; RD16/0016/0008], co‐financed by the European Development Regional Fund ‘A way to achieve Europe’, Operative program Intelligent Growth 2014–2020

Role of age and comorbidities in mortality of patients with infective endocarditis

[Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group

Modelado y simulación de la deposición de partículas en flujos bifásicos turbulentos dispersos en presencia de gradiente de temperatura : aplicación a enfriadores de gases de escape.

En la industria existen cientos de aplicaciones que requieren de algún proceso de intercambio térmico, donde inevitablemente aparece en mayor o menor medida el proceso de ensuciamiento. Se entiende por ensuciamiento el proceso a través del cual una capa de material extraño, no deseado, se deposita sobre una superficie de intercambio térmico, provocando efectos negativos sobre la eficiencia térmica y las pérdidas de carga entre otros. En definitiva, implica un mayor coste de operación, e incluso puede ser catastrófico para el funcionamiento del sistema. Dada la transcendencia del fenómeno, su estudio experimental nace prácticamente con la revolución industrial aunque hasta mediados del siglo XX no comenzó a estudiarse de un modo teórico. Desde entonces el número de estudios así como los modelos tanto físicos como numéricos propuestos ha crecido constantemente hasta la fecha, por lo que se considera una línea de investigación todavía abierta. En esta tesis se propone un modelo Euler-0 de deposición en flujos turbulentos dispersos gas-partícula, aplicado al ensuciamiento producido en los sistemas de gases de escape de los motores diésel. Su formulación se basa en el balance entre dos procesos opuestos: deposición y erosión, que permite reproducir la evolución temporal del crecimiento del residuo. Para ello se han incorporado los mecanismos de transporte, dispersión turbulenta, difusión Browniana y termoforesis, que gobiernan el movimiento de las partículas atravesando la capa límite hasta alcanzar la pared, y su posible reincorporación al flujo. El modelo presentado ha sido adaptado para su integración en el software numérico de Dinámica de Fluios Computacional Fluent. Se ha desarrollado una estrategia de acoplamiento entre el modelo físico y numérico innovadora con la que se consiguen simulaciones más realistas para evaluar los efectos de la suciedad depositada. Se ha diseñado y desarrollado un banco sobre el que se han realizado tres tipos de ensayo: de caracterización de propiedades, de ajuste del modelo, y de validación de flujo externo e interno. En base a los resultados obtenidos, se puede concluir que el modelo presentado permite estimar con precisión el espesor del depósito que acumulará la superficie de intercambio en estudio a lo largo de su vida útil, ayudando a determinar las actuaciones de mantenimiento básicas y aportando una información vital en la etapa de diseño de los intercambiadores. Se contrasta también la capacidad y versatilidad del modelo implementado, obteniéndose unos resultados muy satisfactorios. Finalmente se proponen una serie de actuaciones futuras destinadas a mejorar el modelo presentado

CFD transient simulation of the cough clearance process using an Eulerian wall film model

In this study, a cough cycle is reproduced using a computational methodology. The Eulerian wall film approach is proposed to simulate airway mucus flow during a cough. The reproduced airway domain is based on realistic geometry from the literature and captures the deformation of flexible tissue. To quantify the overall performance of this complex phenomenon, cough efficiency (CE) was calculated, which provided an easily reproducible measurement parameter for the cough clearance process. Moreover, the effect of mucus layer thickness was examined. The relationship between the CE and the mucus viscosity was quantified using reductions from 20 to 80%. Finally, predictions of CE values based on healthy person inputs were compared with values obtained from patients with different respiratory diseases, including chronic obstructive pulmonary disease (COPD) and respiratory muscle weakness (RMW). It was observed that CE was reduced by 50% in patients with COPD compared with that of a healthy person. On average, CE was reduced in patients with RMW to 10% of the average value of a healthy person