scholarly journals DESIGN OF A SMART PREFABRICATED SANITISING CHAMBER FOR COVID-19 USING COMPUTATIONAL FLUID DYNAMICS

2021 ◽  
Vol 27 (2) ◽  
pp. 139-148
Author(s):  
Yousef Abu-Zidan ◽  
Kate Nguyen ◽  
Priyan Mendis ◽  
Sujeeva Setunge ◽  
Hojjat Adeli
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Computer Aided Design ◽  
Close Contact ◽  
Low Cost ◽  
The Novel ◽  
Viral Loads ◽  
Global Pandemic ◽  
Novel Coronavirus ◽  
Aided Design

The novel coronavirus (SARS-CoV-2) has spread at an unprecedented rate, resulting in a global pandemic (COVID-19) that has strained healthcare systems and claimed many lives. Front-line healthcare workers are among the most at risk of contracting and spreading the virus due to close contact with infected patients and settings of high viral loads. To provide these workers with an extra layer of protection, the authors propose a low-cost, prefabricated, and portable sanitising chamber that sprays individuals with sanitising fluid to disinfect clothing and external surfaces on their person. The study discusses computer-aided design of the chamber to improve uniformity of sanitiser deposition and reduce discomfort due to excessive moisture. Advanced computational fluid dynamics is used to simulate the dispersion and deposition of spray particle, and the resulting wetting pattern on the treated person is used to optimise the chamber design.

Computational Fluid Dynamics Applied to River Boat Hull Optimization

2021 ◽  
Vol 55 (5) ◽  
pp. 94-108
Author(s):  
Harlysson W. S. Maia ◽  
Said Mounsif ◽  
Jassiel V. Hernández-Fontes ◽  
Rodolfo Silva
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Computer Aided Design ◽  
Resistance Coefficient ◽  
Wave Profile ◽  
Total Resistance ◽  
Nsga Ii ◽  
Pressure Distributions ◽  
Aided Design ◽  
Geometric Variation

Abstract This paper extends the work of Maia and Said (“Analysis for Resistance Reduction of an Amazon School Boat through Hull Shape Modification Utilizing a CFD Tool,” 2019), proposing the optimization of a school boat hull using genetic algorithms and computational fluid dynamics (CDF) simulations. The study examines a school boat used for the transportation of children to schools in riverine communities of the Brazilian Amazon. The optimization was focused on reducing the hydrodynamic hull resistance by modifying the hull lines, using the NSGA-II (non-dominated sorting genetic algorithm II) algorithm in the CAD (computer aided design) CAESES environment. The objective of the study was to reduce the resistance coefficients: C wp (wave profile) and C wp trans (transverse wave profile), thus reducing the total resistance coefficient (C t) and the generated wave amplitude. Pressure distributions and flow lines were then evaluated to obtain an optimal modified hull with reduced wave emission (lower wave resistance) and, consequently, lower forward resistance. The proposed methodology resulted in a maximum reduction of 5% in the total resistance coefficient C t and in the identification of a trend of geometric variation of the hull for investigation in further studies.

Prometheus: A Geometry-Centric Optimization System for Combustor Design

2014 ◽  
Author(s):  
Xu Zhang ◽  
David J. J. Toal ◽  
Neil W. Bressloff ◽  
Andy J. Keane ◽  
Frederic Witham ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Gas Turbine ◽  
Computer Aided Design ◽  
Design System ◽  
Gas Turbine Combustor ◽  
Computer Aided ◽  
Computational Fluid Dynamics Cfd ◽  
Automatic Mesh ◽  
Aided Design

The following paper presents an overview of the Prometheus design system and its applications to gas turbine combustor design. Unlike a traditional “optimizer-centric” method, Prometheus aims to reduce both the level of workflow complexity and rework by taking a more “geometry-centric” approach to design optimization by shifting the control of script generation away from the optimization program to the computer aided design (CAD) package. Prometheus therefore enables significant geometry changes to be automatically reflected in all subsequent scripts necessary for the analysis of a combustor. Prometheus’ current capabilities include automatic fluid volume generation and aero-thermal and thermo-acoustic network generation as well as automatic mesh and computational fluid dynamics (CFD) script generation.

scholarly journals Barrier for Particle Dispersion Control During Mastoidectomy

2021 ◽  
Author(s):  
Camila Rêgo Muniz ◽  
Carlos Felype Oliveira Pena ◽  
Marcio Ribeiro Studart da Fonseca ◽  
Marcos Rabelo de Freitas
Keyword(s):  
Low Cost ◽  
Particle Dispersion ◽  
World Health ◽  
The Novel ◽  
Surgical Team ◽  
Global Pandemic ◽  
Surgical Field ◽  
Novel Coronavirus ◽  
Health Organization ◽  
Barrier Device

Abstract Introduction The China Health Authority alerted the World Health Organization (WHO) of several cases of pneumonia, and the WHO has declared the novel coronavirus (COVID-19) a global pandemic. Mastoidectomy is a high-risk aerosol generating procedure with the potential to expose the surgeon to infectious particles. Objective Aim to develop a low-cost prototype for a barrier device that can be used during mastoidectomy. Methods Describe the steps involved during otological emergency, requiring immediate surgical procedure, in untested patients. The Otorhinolaryngology Surgical Team of Walter Cantídio Hospital developed the barrier for particle dispersion presented here. Results During surgery, the prototype did not compromise visualization of the surgical field and instrumentation. Microscope repositioning was not compromised or limited by tent Instrumentation and instrument pouch under the Microscope-Tent (MT) performed surgery. After surgery, the plastic sheet was removed simply, without requiring strength. Bone dust and irrigation droplets were collected on the tent. Conclusion Our team developed and practiced, in an otologic emergency, a low-cost and reproducible barrier device that can be used in mastoidectomy in COVID-19 patients. Further tests on efficacy may be necessary.

scholarly journals Numerical Analysis of Semi-Tangential Ogive Bullet

2021 ◽  
Vol 9 (8) ◽  
pp. 1869-1883
Author(s):  
Avinash T
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Analysis ◽  
Computer Aided Design ◽  
Steady Increase ◽  
The Past ◽  
Computer Aided ◽  
Parametric Studies ◽  
Computational Fluid Dynamics Cfd ◽  
Aided Design

Abstract: The objective of the present study is to design and analyze semi-tangential ogive bullets using simulatation software such as Computer-aided design & Computational Fluid Dynamics (CFD). It is observed that been a quite steady increase in the bullet research design in the past few decades. The nose section of ballistic bullet is the most important part of the design process. Hence design optimizations are achieved by adjusting the bullet's form to improve precision and stability by reducing its drag force. CFD is the study used to verify the findings. Since provides most accurate results. It is observed that present study optimizes the behavior of the at M= 2.5. This present work shows the flow of air around the bullet surface providing pressure & velocity contours at every segment. The Various parametric studies over bullet model are drag co-efficient, ballistic coefficient and turbulence viscosity are plotted’.

scholarly journals Covid 19-the 21st Century Pandemic: The Novel Coronavirus Outbreak and the Treatment Strategies

2021 ◽  
Author(s):  
Sherin Joseph ◽  
Anila Kutty Narayanan
Keyword(s):  
Treatment Strategies ◽  
Host Cells ◽  
Screening Methods ◽  
Passive Immunisation ◽  
The Novel ◽  
Viral Loads ◽  
Global Pandemic ◽  
Distress Symptoms ◽  
Public Crisis ◽  
Novel Coronavirus

COVID -19 a global pandemic that has brought all the greater global countries to a hook. The novel coronavirus (SARS-CoV-2) outbreak was first reported in Wuhan, China which then started spreading to different countries around the world. ACE2 receptors are present in various organs but the overexpression of ACE2 at lung epithelia makes them more vulnerable to respiratory symptoms. SARS-CoV-2 binds to ACE2 receptors for entry into host cells which may serve as potential target for future therapy .Repurposing of drugs are the present strategy undertaken as the SARS-CoV-2 shows similar respiratory distress symptoms as in the case of SARS and MERS. At present the antiviral medications and vaccines are at the early stages and may take few months to years, to achieve their complete efficacy to solve the public crisis. The technological advancements have brought passive immunisation, which is an anecdotal success, but the ideal approach to future outbreaks of SARS-CoV-2 is done by vaccines that are under clinical trials. There are a large percentage of population under psychological crisis either due to the fear of infection or stress from the quarantine lives. High levels of viral loads at the initial stages cause higher chances of transmission hence immediate isolations and screening methods must be undertaken. This review mainly focuses on the treatment strategies followed with no definitive approval from authorities. This is an attempt to gather all the materialistic evidences available for now.

Association of design and computational fluid dynamics simulation intent in flow control product optimization

2017 ◽  
Vol 232 (13) ◽  
pp. 2309-2322 ◽  
Author(s):  
Lei Li ◽  
Carlos F Lange ◽  
Yongsheng Ma
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Flow Control ◽  
Computer Aided Design ◽  
Integrated Design ◽  
Control Device ◽  
Dynamics Simulation ◽  
Computational Fluid Dynamics Simulation ◽  
Computer Aided ◽  
Aided Design

Computational fluid dynamics has been extensively used for fluid flow simulation and thus guiding the flow control device design. However, computational fluid dynamics simulation requires explicit geometry input and complicated solver setup, which is a barrier in case of the cyclic computer-aided design/computational fluid dynamics integrated design process. Tedious human interventions are inevitable to make up the gap. To fix this issue, this work proposed a theoretical framework where the computational fluid dynamics solver setup can be intelligently assisted by the simulation intent capture. Two feature concepts, the fluid physics feature and the dynamic physics feature, have been defined to support the simulation intent capture. A prototype has been developed for the computer-aided design/computational fluid dynamics integrated design implementation without the need of human intervention, where the design intent and computational fluid dynamics simulation intent are associated seamlessly. An outflow control device used in the steam-assisted gravity drainage process is studied using this prototype, and the target performance of the device is effectively optimized.

scholarly journals Duck Optimization for Additive Manufacturing Using Generative Design Fluids Path in Fusion360

2021 ◽  
Vol 9 (12) ◽  
pp. 18-20
Author(s):  
Patel Mann B
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Topology Optimization ◽  
Additive Manufacturing ◽  
Computer Aided Design ◽  
New Technology ◽  
Generative Design ◽  
Computer Aided ◽  
The Cost ◽  
Aided Design

Abstract: Generative Fluid in Fusion 360 is the recently launched cutting edge technology which is revolutionary for those companies which produces parts and components working on fluid. They always thrive for weight reduction and minimum pressure drop of their components along with no sacrifice at their performance. This can now be done by this new technology at their specified rate. But the cost of running one simulation is equitable for design which it gives to us. Keyword: 1. Additive Manufacturing, 2. Computational fluid dynamics, 3. Computer aided design, 4. Generative Design, 5. Topology optimization 6. fluid mechanics

scholarly journals A computational fluid dynamics assessment of 3D printed ventilator splitters and restrictors for differential multi-patient ventilation

2022 ◽  
Vol 8 (1) ◽  
Author(s):  
Daniel J. Duke ◽  
Alexander L. Clarke ◽  
Andrew L. Stephens ◽  
Lee Djumas ◽  
Shaun D. Gregory
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Computer Model ◽  
Flow Resistance ◽  
Average Diameter ◽  
Fused Deposition Modelling ◽  
Fused Deposition ◽  
Global Pandemic ◽  
3D Printed ◽  
Novel Coronavirus

Abstract Background The global pandemic of novel coronavirus (SARS-CoV-2) has led to global shortages of ventilators and accessories. One solution to this problem is to split ventilators between multiple patients, which poses the difficulty of treating two patients with dissimilar ventilation needs. A proposed solution to this problem is the use of 3D-printed flow splitters and restrictors. There is little data available on the reliability of such devices and how the use of different 3D printing methods might affect their performance. Methods We performed flow resistance measurements on 30 different 3D-printed restrictor designs produced using a range of fused deposition modelling and stereolithography printers and materials, from consumer grade printers using polylactic acid filament to professional printers using surgical resin. We compared their performance to novel computational fluid dynamics models driven by empirical ventilator flow rate data. This indicates the ideal performance of a part that matches the computer model. Results The 3D-printed restrictors varied considerably between printers and materials to a sufficient degree that would make them unsafe for clinical use without individual testing. This occurs because the interior surface of the restrictor is rough and has a reduced nominal average diameter when compared to the computer model. However, we have also shown that with careful calibration it is possible to tune the end-inspiratory (tidal) volume by titrating the inspiratory time on the ventilator. Conclusions Computer simulations of differential multi patient ventilation indicate that the use of 3D-printed flow splitters is viable. However, in situ testing indicates that using 3D printers to produce flow restricting orifices is not recommended, as the flow resistance can deviate significantly from expected values depending on the type of printer used. Trial registration Not applicable.

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