Quantitative evaluation of computational fluid dynamics application development in the cardiovascular field through literature retrieval and bibliometric analysis

A Scalable Infrastructure for Online Performance Analysis on CFD Application

Particulate matter (PM) emitted from livestock and poultry production contributes to atmospheric aerosol loading, affecting animal health and the surrounding atmospheric environment. However, developing and optimizing remediation technologies require a better understanding of air pollutant concentrations, the emission plumes, and the mechanism of emission. Previous studies have primarily focused on indoor air pollution research, while outdoor research is relatively rare. Field test research is not only costly but also consumes extensive amounts of time. The application of computational fluid dynamics (CFD) technology can save a lot of measurement time and repetitive labor, in order to better understand the diffusion fundamentals and spatial and temporal distribution differences of PM. This study monitored the PM concentrations of different particle sizes inside and outside a layer house with negative pressure ventilation in Northeast China during the summer of 2021. These data were also used to validate the three-dimensional simulation of the PM concentrations inside and outside of the layer house in various scenarios of wind directions at different times by CFD technology. Through correlation analysis, it is found that temperature was positively correlated with PM1 and PM2.5, and relative humidity and wind speed were negatively correlated with PM, which has a greater impact on PM10 and total suspended particulate (TSP). The particle size was proportional to the diffusion distance and diffusion height, time, and wind direction both have an impact on the spread of PM. Considering the environmental conditions in Northeast China, increasing the height of the fan by 1 m was suggested to reduce the diffusion of PM concentration. In addition, the diffusion patterns and transport paths in this study provide valuable information for improving control measures to minimize the influence of PM on both animal health and air quality.

Applications of computational fluid (CFD) dynamics in agriculture and food industry are becoming important because of its versatility, accuracy and user friendliness. Now CFD is regularly used to solve environmental problems of structures and animal production systems. In the recent years this is becoming popular in drying and storage of agricultural products. This paper presents the state of art of CFD and its applications in greenhouse, animal housing, drying and storage. The potentials of CFD are also discussed.

Computational Fluid Dynamics (CFD) applications are highly demanding for parallel computing. Many such applications have been shifted from expensive MPP boxes to cost-effective Networks of Workstations (NOW). Auto-CFD-NOW is a pre-compiler that transforms Fortran CFD sequential programs to efficient message-passing parallel programs running on NOW. Our work makes the following three unique contributions. First, this pre-compiler is highly automatic, requiring a minimum number of user directives for parallelization. Second, we have applied a dependency analysis technique for the CFD applications, called analysis after partitioning. We propose a mirror-image decomposition technique to parallelize self-dependent field loops that are hard to parallelize by existing methods. Finally, traditional optimizations of communication focus on eliminating redundant synchronizations. We have developed an optimization scheme which combines all the non-redundant synchronizations in CFD programs to further reduce the communication overhead. The Auto-CFD-NOW has been implemented on networks of workstations and has been successfully used for automatically parallelizing structured CFD application programs. Our experiments show its effectiveness and scalability for parallelizing large CFD applications.

In this article, the application of Computational Fluid Dynamics (CFD) technology in the field of Heating Ventilation & Air Condition was introduced, and the research progress in optimizing the simulation of air-conditioned room was summarized. Some domestic and foreign studies on air conditioning operation and energy saving were illustrated about the effects of different installation locations, blow angles and air supply modes, which would provide a theoretical basis and scientific guidance for air-conditioning systems to optimize the design. Based on previous results, the development of further research on CFD in the simulation of air-conditioning in future was analyzed.

A general review of Computational Fluid Dynamics (CFD) applications in the automotive industry is presented. CFD has come a long way in influencing the design of automotive components due to continuing advances in computer hardware and software as well as advances in the numerical techniques to solve the equations of fluid flow. The automotive industry’s interest in CFD applications stems from its ability to improve automotive design and to reduce product cost and cycle time. We are able to utilize CFD more and more in day-to-day automotive design, and we can expect better conditions for CFD applications in the coming years. CFD applications in the automotive industry are as numerous as are the codes available for the purpose. Applications range from system level (e.g., exterior aerodynamics) to component level (e.g., disk brake cooling). The physics involved cover a wide range of flow regimes (i.e., incompressible, compressible, laminar, turbulent, unsteady, steady, subsonic and transonic flows). Most of the applications fall in the incompressible range and most are turbulent flows. Although most of the flows encountered are unsteady in nature, a majority of them can be approximated as steady cases. The challenge today is to be able to simulate accurately some very complex thermo-fluids phenomena, and to be able to get CFD results fast, in order to effectively apply them in the “dynamic” design environment of frequent design changes. The key is to utilize CFD in the early design phases so that design changes and fix-ups later are minimized. Proper use of CFD early, helps to significantly reduce prototyping needs and consequently, reduce cost and cycle time.

Computational Fluid Dynamics (CFD) applications in Floating Offshore Wind Turbine (FOWT) dynamics: A review

SUMMARYThis systematic review aims first to summarize the previous areas of application of computational fluid dynamics (CFD) and then to demonstrate that CFD is also a suitable instrument for generating three-dimensional images that depict drug effects on nasal mucosa. Special emphasis is placed on the three-dimensional visualization of the antiobstructive effect of nasal steroids and antihistamines in the treatment of allergic rhinitis. In the beginning, CFD technology was only used to demonstrate physiological and pathophysiological airflow conditions in the nose and to aid in preoperative planning and postoperative monitoring of surgical outcome in the field of rhinosurgery. The first studies using CFD examined nasal respiratory physiology, important functions of the nose, such as conditioning and warming of inspired air, and the influence of pathophysiological changes on nasal breathing. Also, postoperative outcome of surgical procedures could be "predicted" using the nasal airflow model. Later studies focused on the three-dimensional visualization of the effect of nasal sprays in healthy subjects and postoperative patients. A completely new approach, however, was the use of CFD in the area of allergic rhinitis and the treatment of its cardinal symptom of nasal obstruction. In two clinical trials, a suitable patient with a positive history of allergic rhinitis was enrolled during a symptom-free period after the pollen season. The patient developed typical allergic rhinitis symptoms after provocation with birch pollen. The 3-D visualization showed that the antiallergic treatment successfully counteracted the effects of nasal allergen provocation on nasal airflow. These observations were attributed to the antiobstructive effect of a nasal steroid (mometasone furoate) and a systemic antihistamine (levocetirizine), respectively. CFD therefore constitutes a non-invasive, precise, reliable and objective examination procedure for generating three-dimensional images that depict the effects of drugs used in the treatment of allergic rhinitis.

Computational fluid dynamics (CFD) applications are highly demanding for parallel computing. Many such applications have been shifted from expensive MPP boxes to cost-effective clusters. Auto-CFD is a pre-compiler which transforms Fortran CFD sequential programs to efficient message-passing parallel programs running on clusters. Our work has the following three unique contributions. First, this pre-compiler is highly automatic, requiring a minimum number of user directives for parallelization. Second, we have applied a dependency analysis technique for the CFD applications, called analysis after partitioning. We propose a mirror-image decomposition technique to parallelize self-dependent field loops that are hard to parallelize by existing methods. Finally, traditional optimizations of communication focus on eliminating redundant synchronizations. We have developed an optimization scheme which combines all the non-redundant synchronizations in CFD programs to further reduce the communication overhead. The auto-CFD has been implemented on clusters and has been successfully used for automatically parallelizing structured CFD application programs. Our experiments show its effectiveness and scalability for parallelizing large CFD applications.

Calibrations and validations of Computational Fluid Dynamics (CFD) applications are significantly time-consuming. To reduce the execution time of the CFD applications, parallel-computing approach is often employed. In addition, high performance computing systems and cloud computing solutions are also appropriate tools to the CFD applications. One of the challenging problems is to schedule tasks on virtualized machines of the cloud-based high performance systems. Instead of employing an adaptive algorithm to cope with the uncertainty of the virtualized resources, in this study, we propose an idea to predict the execution time of Telemac-2D, which is a CFD application. The predicted execution time is very essential in all scheduling algorithms. The application is executed several times with different settings of model’s parameters and allocated resources to produce an experimental dataset. The dataset is then used to predict the execution time of the application by utilizing a machine learning-based approach. The predictive model consists of two steps that classify and predict the execution. The C4.5 algorithm is used to classify the execution ending status whereas Multi-layer Perceptron (MLP) and a mixture of MLPs (MiMLP) are used to predict the execution time. The experiments indicate that the predictive model is appropriate to predict the execution of the Telemac-2D application since the accuracy of the C4.5 algorithm is 100 % and R and MARE of MiMLP are 0.957 and 17.090, respectively.

Inhalation injury is an important cause of death after thermal burns. This study was designed to simulate the velocity and temperature distribution of inhalation thermal injury in the upper airway in humans using computational fluid dynamics. Cervical computed tomography images of three Chinese adults were imported to Mimics software to produce three-dimensional models. After grids were established and boundary conditions were defined, the simulation time was set at 1 minute and the gas temperature was set to 80 to 320°C using ANSYS software (ANSYS, Canonsburg, PA) to simulate the velocity and temperature distribution of inhalation thermal injury. Cross-sections were cut at 2-mm intervals, and maximum airway temperature and velocity were recorded for each cross-section. The maximum velocity peaked in the lower part of the nasal cavity and then decreased with air flow. The velocities in the epiglottis and glottis were higher than those in the surrounding areas. Further, the maximum airway temperature decreased from the nasal cavity to the trachea. Computational fluid dynamics technology can be used to simulate the velocity and temperature distribution of inhaled heated air.

Research Article| February 01 2009 The practical application of computational fluid dynamics to dissolved air flotation, water treatment plant operation, design and development Tony Amato; Tony Amato 1Enpure Ltd, Enpure House, Woodgate Business Park, Kettleswood Drive, Birmingham, B323DB, UK E-mail: tamato@enpure.co.uk E-mail: tamato@enpure.co.uk Search for other works by this author on: This Site PubMed Google Scholar Jim Wicks Jim Wicks 2The Fluid Group, Magdalen Centre, The Oxford Science Park, Oxford, OX44GA, UK E-mail: jim.wicks@thefluidgroup.com Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2009) 58 (1): 65–73. https://doi.org/10.2166/aqua.2009.003 Article history Received: January 21 2008 Accepted: April 10 2008 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation Tony Amato, Jim Wicks; The practical application of computational fluid dynamics to dissolved air flotation, water treatment plant operation, design and development. Journal of Water Supply: Research and Technology-Aqua 1 February 2009; 58 (1): 65–73. doi: https://doi.org/10.2166/aqua.2009.003 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Computational fluid dynamics (CFD) can be applied to the advancement of dissolved air flotation (DAF) plant design. The use of CFD in design and predictive analysis, in particular here with reference to the upgrading of an existing DAF plant from 30 to 60 Ml/d and associated diagnostics, while still developing, helped by the emergence of ever more powerful computational systems, can be regarded as an established tool providing beneficial and useful data, although on occasions care may be required in the interpretation of results. The initial CFD studies were undertaken using the existing and upgraded works flows and structures at both ‘low’ and ‘high’ temperatures, i.e. 2 and 20°C, while the modelling results are reported using graphical representations of ‘contours of flow velocity’ and ‘velocity vectors’. In addition the degree of short circuiting based on T10 together with other retention parameters T50 and T50/m are reported. Further modifications were also considered: how changes to the incline baffle and tank depth can impact on the predicted distribution, vorticity and in practice on the actual subnatant water quality measured in terms of turbidity. Finally applying CFD to DAF plant design is shown to be a beneficial tool for the designer. computational fluid dynamics, dissolved air flotation, water treatment This content is only available as a PDF. © IWA Publishing 2009 You do not currently have access to this content.

In recent years, the intensification of the urban heat island (UHI) effect has become a significant concern as urbanization accelerates. This survey comprehensively explores the current status of surface UHI research, emphasizing the role of land use and land cover changes (LULC) in urban environments. We conducted a systematic review of 8260 journal articles from the Web of Science database, employing bibliometric analysis and keyword co-occurrence analysis using CiteSpace to identify research hotspots and trends. Our investigation reveals that vegetation cover and land use types are the two most critical factors influencing UHI intensity. We analyze various computational intelligence techniques, including machine learning algorithms, cellular automata, and artificial neural networks, used for simulating urban expansion and predicting UHI effects. The study also examines numerical modeling methods, including the Weather Research and Forecasting (WRF) model, while examining the application of Computational Fluid Dynamics (CFD) in urban microclimate research. Furthermore, we evaluate potential mitigation strategies, considering urban planning approaches, green infrastructure solutions, and the use of high-albedo materials. This comprehensive survey not only highlights the critical relationship between land use dynamics and UHIs but also provides a direction for future research in computational intelligence-driven urban climate studies.

The objective of this paper is to describe the application of CFD (Computational fluid dynamics) technology in the matching of turbine blades and generator to increase the efficiency of a vertical axis wind turbine (VAWT). A VAWT is treated as the study case here. The SST (Shear-Stress Transport) k-ω turbulence model with SIMPLE algorithm method in transient state is applied to solve the T (torque)–N (r/min) curves of the turbine blades at different wind speed. The T–N curves of the generator at different CV (constant voltage) model are measured. Thus, the T–N curves of the turbine blades at different wind speed can be matched by the T–N curves of the generator at different CV model to find the optimal CV model. As the optimal CV mode is selected, the characteristics of the operating points, such as tip speed ratio, revolutions per minute, blade torque, and efficiency, can be identified. The results show that, if the two systems are matched well, the final output power at a high wind speed of 9–10 m/s will be increased by 15%.

The application of Computational Fluid Dynamics in professional sports performance is groundbreaking. This not only optimizes the design of sports equipment but also provides valuable insights into biomechanics, aerodynamics and environmental conditions to athletes, coaches and teams contributing to improved performance which ultimately increases their competitive advantage and performance levels. This research was carried out to conduct research analysis regarding CFD in sports performance of professional sports from research that has been carried out. In addition, this research provides comprehensive insight into the field of sports science that uses dynamic computing approaches to improve performance. Bibliometric analysis and theoretical analysis are used as research methods. This research also consists of five steps, namely (i) determining the research theme; (ii) collection of publication data; (iii) bibliometric data processing, (iv) bibliometric mapping analysis and (v) preparation of research results reports. The keywords used in this research are ("Computational Fluid Dynamics", "CFD" and "Sports Performance"). Based on the search results, 12 documents were obtained from 2003 to 2023. The trend of research publications on this theme which were first published in International Journals was carried out in 2013. The highest number of publications occurred in 2018, 2021 and 2022 with a total of 2 journal publications. Based on the results of the study, it is known that the CFD method is used to train, improve performance and find out sports patterns or techniques in the field of swimming. This research was conducted with the hope that it can become a reference for future researchers in developing sports performance using the CFD method approach.