Outsource your project to the MR CFD simulation engineering team. Our experts are ready to carry out every CFD project in all related engineering fields. Our services include industrial and academic purposes, considering the ANSYS Fluent software's wide range of CFD simulations. By outsourcing your project, you can benefit from MR CFD's primary services, including Consultation, Training, and CFD Simulation. The project freelancing procedure is as follows:
An official contract will be set based on your project description and details.
As we start your project, you will have access to our Portal to track its progress.
You will receive the project's resource files after you confirm the final report.
Finally, you will receive a comprehensive training video and technical support.
What are Health Care and Biomedical Engineering?
Health Care and Biomedical Engineering is a branch of engineering concerned with the development of medical technology and systems to enhance healthcare quality. To develop and construct medical equipment, diagnostic tools, and healthcare information systems, it blends engineering concepts with medical and biological sciences. Medical imaging, prostheses, artificial organs, and medical robots are examples of biomedical engineering applications.
Bioengineering, often known as healthcare and biomedical engineering, is a multidisciplinary STEM area that integrates biology and engineering to apply engineering ideas and materials to medicine and healthcare. The increase in demand for Biomedical Engineers is linked to society’s overall shift toward using machines and technology in many parts of life. Combining engineering principles with biological knowledge to solve medical demands has resulted in the development of groundbreaking and life-saving innovations such as artificial organs, surgical robots, advanced prosthetics, new pharmaceutical medications, and kidney dialysis.
Biomedical Engineering is a vast discipline with several areas of specialization, and the kind of work you’ll be doing will vary depending on your role’s characteristics. Biomedical Electronics, Biomaterials, Computational Biology, Tissue, and Genetic Engineering, Medical Imaging, and Orthopedic Bioengineering Bionanotechnology are only a few of the sub-disciplines of Biomedical Engineering.
How CFD simulation can be applied in Health Care and Biomedical Engineering Industries?
CFD simulation may be used in several ways in the healthcare and biomedical engineering sectors. CFD, for example, may be used to model the flow of blood through the cardiovascular system, assisting in the identification of regions of turbulence or blockages that may contribute to health issues. It may also be used to replicate the flow of air in a hospital or laboratory setting, assisting in the identification of regions with poor ventilation or air quality that could contribute to the spread of illness. Moreover, CFD may be used to mimic the flow of fluids through medical devices such as dialysis machines, helping to detect regions of turbulence or obstructions that could lead to failure. Lastly, CFD may be used to model the flow of fluids through the human body, assisting in the identification of regions of turbulence or obstructions that may cause health issues.
How to Improve Biomedical and Healthcare Engineering using CFD Simulations?
Biomedical computing advances have altered the face of biology and medicine in research and clinical practice. The advantages of biomedical computing are numerous and varied. They are critical in gaining a better understanding of human physiology, enabling exciting new biomedical discoveries, and assisting in developing new clinical treatments. In the biomedical field, several numerical approaches are utilized for simulation purposes. For structural analysis, methods such as the Finite element method (FEM) are used. For example, stress analysis of the human skull during the head collision or studying stress distribution in hip implants, to name a few examples. Computational fluid dynamics techniques aid in understanding fluid motion in and around the body. CFD is used in the biomedical area to analyze blood flow in arteries, simulate airflow in the respiratory passages, etc.
Thermal analysis is another interesting method that helps understand the heat transfer mechanism between various body parts and the external environment. Thermal analysis of cooling a human heart during cardiac surgery is one such application. Another critical simulation approach is multi-body dynamics, which aids in understanding human biomechanics. This is especially useful when comprehending the movements of a physically impaired or injured person. The optimization technique is the most recent technology in biomedical computing. Optimization algorithms are now used for improving the designs of medical devices implanted in patient bodies. Optimization of patient-specific stents and hip implants are some common examples.
CFD on Reducing Dispersion of the Microdroplets Containing the Virus
The COVID-19 pandemic has started a big challenge to world health and the economy in recent years. Many efforts were made to use the CFD approach during this pandemic. CFD was used to understand the airborne dispersion and transmission of this virus in different situations and buildings. The CFD modeling studied the effect of the various conditions of the ventilation to discuss preventing COVID-19 transmission. Social distancing and using the facial masks were also modeled by the CFD approach to study the effect on reducing the dispersion of the microdroplets containing the virus.
CFD applications for modeling COVID-19 spreading in an airplane cabin, an elevator, a small classroom, an operating room of a hospital, a restaurant, a hospital waiting room, and a children’s recovery room in a hospital can be discussed in different scenarios. CFD modeling for studying the effect of social distancing with various spaces, using and not using facial masks, the difference between sneezing and coughing, different inlet/outlet ventilation layouts, combining air-conditioning and sanitizing machines, and using general or local air-conditioning systems of the application of CFD simulation in biomedical engineering.
CFD for Cancer Removal
Intra-Arterial Chemotherapy is a preferred treatment for primary liver cancer, despite its adverse side effects. During IAC, a mixture of chemotherapeutic medicines, e.g., Doxorubicin, is injected into an artery supplying the tumor. The tumor absorbed a fraction of Doxorubicin, but the remaining drug passed into the systemic circulation, causing irreversible heart failure. The effectiveness and safety of the IAC can be improved by chemical filtration of the excessive drugs with a catheter-based Chemofilter device, as proposed by a team of neuroradiologists. Computational Fluid Dynamics (CFD) modeling can be used to optimize the hemodynamic and drug-binding performance of the Chemofilter device.
Simulation of Various Vessels in CFD
The use of image-based models and computational fluid dynamics to simulate blood flow has found significant use in assessing hemodynamic parameters related to the onset and progression of cardiovascular illnesses and designing therapies. CFD can provide flow visualization to show flow phenomena such as recirculation. Simulations can also provide valuable metrics for quantitative analysis, allowing comparison between anastomosis techniques.
CFD results can also highlight regions of high shear stress, in which red blood cell damage can occur. A key advantage of CFD over experimental approaches is that all flow properties are inherently calculated throughout the entire simulated domain.
This article covered a small number of CFD applications in improving biomedical and healthcare engineering. The healthcare industry is full of applications for CFD. From the Dyspnea arteries or the effect of the Eclipse of the vessels on the pressure distribution. Fluid dynamics are fundamental to most facets of the biomedical and healthcare sector. Although real prototypes are standard for later stages of development, design, and optimization during earlier stages can be significantly accelerated with CFD studies.
MR CFD services in the Health Care and Biomedical Engineering Industries
CFD simulation services may be used to enhance the design and performance of medical devices such as ventilators, dialysis machines, and other medical equipment in the healthcare and biomedical engineering sectors. CFD simulations may be used to assess the movement of air, fluids, and other substances through medical devices and to enhance the design of medical equipment. CFD simulations may also be used to examine the thermal performance of medical equipment, such as a device’s temperature distribution or heat transfer rate. CFD simulations may also be used to examine the acoustic performance of medical equipment, such as noise levels or sound pressure levels. CFD simulations may also be used to examine the structural performance of medical equipment, such as a device’s stress and strain distribution or fatigue life.
MR CFD conducted numerous outsourced simulation projects for industrial and research Health Care and Biomedical Engineering applications. With several years of experience simulating various problems in various CFD fields using ANSYS Fluent software, MR CFD is ready to offer extensive services of simulation configurations.
Coronavirus Dispersion CFD Simulation Training Package
This CFD training package, which includes 10 practical exercises, is designed for BEGINNER, INTERMEDIATE, and ADVANCED users of ANSYS Fluent software who are interested in the Coronavirus subject. You will study and receive extensive training on project simulation. The information gained will allow you to select the best modeling methodologies and methods for applications and CFD simulations.
CFD Fundamentals: Discover the fundamentals of CFD and how to use ANSYS Fluent to model the flow of air around a coronavirus particle.
Flow Field Analysis: Examine the flow field surrounding a coronavirus particle to determine the impact of various factors on the flow.
Turbulence Modeling: Discover how to correctly mimic the movement of air around a coronavirus particle using turbulence models.
Heat Transfer Modeling: Learn how to simulate the temperature distribution around a coronavirus particle using heat transfer models.
Particle Tracking: Learn how to follow the path of a coronavirus particle in a flow field using particle tracking.
Mesh Generation: Discover how to create a mesh for a coronavirus particle and the significance of mesh resolution.
Discover how to create boundary conditions for a coronavirus particle simulation.
Post-Processing: Learn how to assess the findings of a coronavirus particle simulation using post-processing tools.
Optimization: Discover how to increase the accuracy of a coronavirus particle simulation using optimization approaches.
Validation: Discover how to use experimental data to validate a coronavirus particle simulation.
Blood Flow in a Coronary Bifurcation, Paper Numerical Validation
The study “Numerical investigation of blood flow in a deformable coronary bifurcation and non-planar branch” studies pulsatile blood flow in a coronary bifurcation with a non-planar branch numerically. To generate a more realistic analysis, the wall is considered to be compliant.
Detection and measurement of hemodynamic parameters and other flow factors influence cardiovascular disease behavior and prevention. Stenosis is heavily influenced by the local hemodynamic properties of blood flow. Since coronary artery disease has a high mortality and morbidity rate, the hemodynamic features of blood flow require increased attention.
Ansys Fluent software was used to model the impact of wall compliance and non-Newtonian rheology of blood on flow characteristics.
The goal of this research is to numerically evaluate a simulation of blood flow in a coronary bifurcation using computational fluid dynamics (CFD). The CFD simulation was carried out with the help of ANSYS Fluent, a commercial CFD software tool. The numerical validation was carried out by comparing the CFD simulation results to experimental data received from a laboratory experiment. The numerical validation findings demonstrated that the CFD simulation successfully predicted the flow patterns and velocities in the coronary bifurcation. The findings also demonstrated that the CFD simulation correctly predicted the pressure decrease over the bifurcation. The numerical validation findings show that the CFD simulation is accurate and reliable for estimating blood flow in a coronary bifurcation.
Our simulation Services for Healthcare and Biomedical simulations are categorized as follows:
- Cancer removal simulation applying for heat transfer
- Simulation of blood flow in vessels
- Simulation of Dyspnea arteries
- The effect of the Eclipse of the vessels on the pressure distribution
- Simulation of various vessels (Coronary, carotid, vein, artery …)
- Simulation of several types of micro-swimmers
- Simulation of virus particles (Covid-19, …)
Health Care and Biomedical Engineering MR CFD Projects
MR CFD is ready to offer extensive modeling, meshing, and CFD simulation services. Following is a brief list of the CFD simulation projects for Health Care and Biomedical Engineering by MR CFD:
CFD Simulation of Blood Flow in the Human Vessel:
In this research, CFD is used to model blood flow in the human heart. The objective is to learn how blood flow influences cardiac function and to identify possible areas for improvement.
Lumen Blood Vessel (FSI & Non-Newtonian)
A Lumen Blood Vessel (FSI & Non-Newtonian) was simulated in this research, and the simulation results were analyzed using ANSYS Fluent software. This CFD project is carried out and investigated using CFD analysis.
This course will introduce you to the principles of CFD simulation using Ansys Fluent. The course will cover the fundamentals of CFD simulation, such as fluid flow physics, numerical methods for solving equations, and software tools for creating and analyzing results. The application of CFD to the study of lumen blood arteries will also be covered, including the consequences of non-Newtonian behavior and the utilization of FSI (Fluid-Structure Interaction) simulations. The course will feature hands-on exercises to assist students to get expertise with the program and to apply the ideas to real-world challenges.
Blood Vessel (FSI) with the Pulse Velocity
Ansys Fluent software was used to create this project, which simulates a blood artery with a wall, with the displacement of the wall apparent. We defined the pulse velocity using UDF as the input and air pressure as the output. This FSI simulation was carried out within Fluent.
The Ansys Fluent training course on modeling blood vessels (FSI) with pulse velocity is intended to assist engineers and scientists learn the foundations of computational fluid dynamics (CFD) and how to use Ansys Fluent to simulate blood flow in a vessel. The course introduces the fundamentals of CFD, such as governing equations, numerical techniques, and boundary conditions. It also covers the principles of FSI, such as fluid-structure coupling and the use of the ALE approach. The course also covers how to use Ansys Fluent to simulate blood flow in a vessel, including how to utilize the k-epsilon turbulence model, the ALE approach, and the pulse velocity boundary condition. Lastly, the course covers the post-processing of the results, including the use of contour plots, vector plots, and the use of the particle tracing tool.
Aorta, Non-Newtonian pulsating blood flow
To utilize ANSYS Fluent to model non-Newtonian pulsing blood flow in the aorta, the user must first establish the aorta shape and boundary conditions. The intake and outflow velocities, wall shear stress, and pressure drop across the aorta must all be specified. The user must also define the blood’s material qualities, such as viscosity and density.
After defining the geometry and boundary conditions, the user must run the simulation. This involves defining the flow type (laminar or turbulent), the numerical technique for solving the equations, and the time step size. The turbulence model and boundary conditions must also be defined by the user.
After configuring the simulation, the user may run it and examine the results. The data will indicate the distributions of velocity, pressure, and shear stress throughout the aorta. The user may also see the flow patterns and the impact of the pulsing flow on the aorta walls. ANSYS Fluent can model non-Newtonian pulsing blood flow in the aorta, among other challenging fluid flow issues. The user may correctly simulate the flow and evaluate the results with the proper setup and boundary conditions.
Non-Newtonian Blood Pulse Flow in a Vein
This simulation uses ANSYS Fluent software to simulate non-Newtonian blood pulse flow in a vein. This CFD project is carried out and investigated using CFD analysis. Blood, a non-Newtonian fluid, is employed in this simulation. Non-Newtonian fluids have viscosities that vary with response rate, implying that they lack a defined viscosity.
Because the connection between shear stress fluctuations and applied stress rates is nonlinear in this type of fluid, there is no consistent coefficient of fit for viscosity. This transient simulation lasts 0.5 seconds. To mimic the pulse of the blood flow, we use a User-Defined Function (UDF). Because blood flow is not continuous and pulsed, the velocity function must be employed regularly using the User-Defined Function code.
ANSYS Fluent is a strong computational fluid dynamics (CFD) software tool that may be used to simulate the flow of non-Newtonian blood pulse flow in a vein. The program may be used to correctly predict the flow of blood through a vein, taking into consideration the viscosity of the blood, the pressure gradient, and the geometry of the vein. The program may also be used to assess the impact of various therapies on blood flow, such as the usage of pharmaceuticals or medical equipment. Furthermore, the program may be used to mimic the impact of various disorders on blood flow, such as aneurysms or thrombosis. ANSYS Fluent may also be used to model the impact of different medical treatments such as angioplasty or stenting.
CFD Simulation of HVAC Considering Respiratory Diseases:
The purpose of this project is to use CFD to model airflow in an operating room. The objective is to understand how airflow impacts operating room safety and to identify possible areas for improvement.
COVID-19 Patient TRANSIENT Breathing in Operating Room
This ANSYS Fluent training course is intended to offer an overview of how to utilize ANSYS Fluent to simulate the transient breathing of a COVID-19 patient in an operating room. The principles of CFD will be covered, as well as simulation setup and outcomes analysis. The course will also cover the many types of boundary conditions and turbulence models that are available in ANSYS Fluent. The course will also cover the basics of using ANSYS Fluent for post-processing and display of findings.
ANSYS Fluent software is used to model the airflow from a patient’s (COVID-19) mouth in a hospital room. This CFD project is carried out and investigated using CFD analysis. In reality, in this scenario, a specific operating room with ventilation and air conditioning equipment has been built. The patient, on the other hand, obtains oxygen and exhales carbon dioxide with each inhalation and exhalation.
The major goal of this simulation procedure is to enable a continuous flow of fresh air (oxygen-carrying) into the room’s interior rather than expel dirty air from the patient’s mouth to the surroundings. Ventilation systems and air conditioners installed on the ceiling and floor of the room are in charge of circulating fresh air and directing it from the side pores to the outside environment.
Corona Virus Patient STEADY Breathing in Clean Room
Using ANSYS Fluent software, this project replicates the Corona Virus Patient STEADY Breathing in a Clean Room. Air conditioning is required in hospital rooms. These air conditioners can continually circulate fresh air into the room, cleaning the contaminated air surrounding the patient. These air conditioners also provide enough cooling and heating.
A room containing a bedridden patient is explored in this simulation. Coronavirus particles are disseminated to the environment by the patient who has corona. The source of respiratory coronavirus transmission is established as the patient’s mouth. In addition, the patient’s body surface temperature is 308 K, which is one of his disease symptoms. The fresh air from air purification systems removes contaminated air and virus particles from the inside of the space. Second, it aids in the cooling of the patient’s body surface and the creation of thermal comfort for the patient. As a result, various panels on the room’s ceiling are specified for the entrance of fresh air with a temperature of 294 K, and the air exit is likewise from the lower portion of the side walls.
ANSYS Fluent CFD simulation training may be used to replicate a Corona Virus patient’s breathing in a clean room. The simulation may be used to study the airflow patterns in the room, the air velocity, and the air pressure. The simulation may also be used to assess the room’s air quality, such as the concentration of airborne particles, temperature, and humidity. The simulation may also be used to examine the room’s ventilation system, such as the airflow rate, air pressure, and air temperature. The simulation may also be used to assess the room’s air quality, such as the concentration of airborne particles, temperature, and humidity. The simulation may also be used to examine the air quality in the room, such as the concentration of airborne particles, the temperature, and the humidity.
HVAC of an Operating Room
ANSYS Fluent software is used to model the HVAC of an operating room in this case. This CFD project is carried out and investigated using CFD analysis. In this scenario, we simulate an operating room HVAC system (heating, ventilation, and air conditioning). This chamber houses the equipment and people, including the doctor and patient, and is air-conditioned.
To cleanse the air in the operating room, the system employs laminar flow. A linear flow known as an air curtain keeps tainted air from entering fresh air. The patient’s body is thought to be the source of the contaminated gases. For the clearing procedure, the incoming air goes from the top to the bottom of the operating room.
This article will teach you how to utilize ANSYS Fluent to simulate an operating room’s HVAC system. The purpose of this tutorial is to walk you through the process of setting up and running a CFD simulation of an operating room HVAC system. The first step is to develop a three-dimensional model of the operation area. This may be accomplished with 3D modeling tools like Autodesk 3ds Max or Blender. The walls, ceiling, floor, and any other things that will be present in the room should all be included in the model.
The following step is to make a mesh for the model. This may be accomplished with meshing software such as ANSYS Meshing. The mesh should be fine enough to capture the intricacies of the area, but not so fine that it takes an inordinate amount of time to solve. After creating the mesh, the following step is to define the boundary conditions. This comprises establishing the intake and exit velocities, temperatures, and pressures. It is also necessary to configure the airflow direction and the turbulence model.
The following step is to prepare the materials for the simulation. This involves determining the density, viscosity, and thermal conductivity of the air. It is also necessary to configure the qualities of the walls, ceiling, and floor. The solver must now be configured. This covers selecting the time step, convergence criterion, and other solver settings. The simulation is then executed as the last stage. This is possible with the ANSYS Fluent solver. The results of the simulation may be viewed and studied once it is completed. This article walked you through the process of setting up and executing a CFD simulation of an operating room HVAC system with ANSYS Fluent. You should be able to develop a realistic simulation of an operating room HVAC system by following these instructions.
Plastic Cover Effect in Banks Regarding COVID-19
Based on the CFD approach and the ANSYS Fluent software, this research attempted to model viral particle discharge from a patient’s mouth within a bank. This CFD project is carried out and investigated using CFD analysis. Following the COVID-19 outbreak, the usage of plastic coverings in banks has grown in popularity. These coverings are intended to protect consumers and employees from virus propagation by forming a physical barrier between them. ANSYS Fluent CFD simulations may be used to simulate the flow of air around the covers and assess how effectively they confine virus particles to evaluate their efficacy. The simulations may also be used to find the best location for the coverings to enhance their efficacy. Furthermore, the simulations may be used to assess the efficacy of other types of coverings, such as those made of different materials or with varied forms. Banks can verify that their customers and employees are appropriately safeguarded against virus transmission by utilizing ANSYS Fluent CFD simulations.
Corona Virus spread in a Car due to the Cough of the Driver
ANSYS Fluent software was used to simulate the spread of a Coronavirus in a car due to the driver’s cough. This CFD project is carried out and investigated using CFD analysis. Coronavirus (COVID-19) is the world’s most serious human threat; the disease’s high transmission rate is troublesome. A COVID-19 person’s coughing or sneezing without a mask might transmit the Coronavirus in that location.
Maintaining social distance between people in tight areas is one of the physicians’ most significant suggestions for minimizing illness spreading between people. The inside of a passenger automobile can transfer the virus to its occupants. This project simulates viral particle discharge from a corona carrier patient’s mouth inside the inside of an automobile. The goal of this research is to look at the ability of virus particles to spread inside a car’s interior.
ANSYS Fluent may be used to simulate the spread of the Coronavirus in an automobile owing to the driver’s cough. The simulation will incorporate the use of computational fluid dynamics (CFD) to mimic the movement of air in the automobile and the propagation of the virus particles. The simulation will require setting up the geometry of the automobile, determining the boundary conditions, and setting up the CFD solver. The CFD solver will then be used to solve the equations of motion for the car’s airflow and the virus particle propagation. The simulation findings will give insight into the virus’s spread in the automobile and may be used to influence judgments on how to limit the danger of transmission.
Coronavirus Dispersion in an Elevator Cabin due to a Sneeze
The elevator cabin is one of the most relevant venues in the subject of coronavirus illness because it typically houses a large number of individuals in a tight area with a weak ventilation system. This study attempted to simulate the dispersion of coronavirus particles from the carrier patient cough within an elevator cabin using the CFD approach and ANSYS Fluent software.
This model contains a computational domain in the shape of an elevator cabin in which two persons are modeled; one is a coronavirus patient who coughs or sneezes, and the other is a person who is a specific distance away from the patient and is exposed to coronavirus particles. The goal of this project is to look at the potential of virus particles to spread within elevators and the possibility of spreading them to other people. Human cough virus particles are physically discharged from the patient’s mouth by evaporating water droplets in space, according to this definition of injection.
This CFD simulation was carried out with ANSYS Fluent to investigate the dispersion of coronavirus particles in an elevator cabin as a result of a sneeze. A 3D model of an elevator cabin with a single occupant was used for the simulation. The person was portrayed as a source of coronavirus particles discharged into the cabin as a result of a sneeze. The simulation was done using the Eulerian-Eulerian multiphase model, which was utilized to describe the dispersion of the coronavirus particles in the cabin. The simulation lasted 10 seconds, and the findings revealed that coronavirus particles were spread throughout the cabin, with the largest concentrations near the passenger and the cabin walls. The simulation findings revealed that coronavirus particles could move up to 4 meters away from the source and that particle concentration dropped as the distance from the source increased. The simulation findings also revealed that the coronavirus particles may remain suspended in the air for up to 10 seconds, indicating that the virus can be airborne for an extended time.
Human Cough Virus Particles in the Coffee Shop
ANSYS Fluent software is used to model Human Cough Virus Particles in the Coffee Shop. This CFD project is carried out and investigated using CFD analysis. A Computational Fluid Dynamics (CFD) simulation is the best technique to mimic the propagation of human cough virus particles in a coffee shop using Ansys Fluent. The movement of air and other fluids in a particular environment is modeled using CFD simulations. The CFD simulation would be used in this scenario to represent the movement of air in the coffee shop as well as the propagation of virus particles. The simulation would include the size and form of the space, the number of individuals in the room, the ventilation system, and other elements that may influence viral particle transmission. The simulation would then be used to calculate the concentration of virus particles in various regions of the room as well as the pace at which they spread. This data may then be used to make judgments on how best to protect individuals from the virus.
Corona Virus Spread due to a Cough in Open Air
The current challenge seeks to model coronavirus propagation in the open air using the ANSYS Fluent. This disperses virus particles into the air, where they can infect anyone within a specified radius of the sufferer. As a result, one of the most current topics that researchers are constantly investigating is calculating and examining the minimum appropriate distance between a sick person and a healthy person to prevent the spread and transmission of viruses when a patient coughs or sneezes, a concept known as social or physical distancing. The human mouth is identified as a source of viral transmission in this model, which features a human placed in a cube-shaped computational domain as open air.
ANSYS Fluent may be used to mimic the spread of the coronavirus caused by a cough in the open air. Setting up a computational domain that simulates the environment in which the cough happens would be part of the simulation. The air, the coughing individual, and any other items in the area would all need to be included in the domain. The simulation must then incorporate the necessary boundary conditions, such as air velocity, temperature, and humidity. The simulation would also need to incorporate the necessary source terms, such as the cough, as well as the necessary turbulence model. The simulation may then be conducted to determine the transmission of the virus caused by the cough. The simulation findings may then be used to assess the risk of infection in the environment.
Covid 19 Airborne Risk Measuring in a Classroom
This simulation is about measuring covid 19 airborne risk in a classroom using ANSYS Fluent software. This CFD project is carried out and investigated using CFD analysis. ANSYS Fluent may be used to calculate the risk of Covid-19 airborne transmission in a classroom. ANSYS Fluent is a software suite for simulating fluid flow, heat transfer, and other related phenomena. ANSYS Fluent may be used to simulate airflow in a classroom and determine the risk of Covid-19 airborne transmission.
The first step in utilizing ANSYS Fluent to assess the risk of Covid-19 airborne transmission in a classroom is to build a 3D model of the classroom. This model should contain the room’s walls, windows, doors, furniture, and other things. After creating the model, the user may provide the boundary conditions, such as the temperature, pressure, and velocity of the air in the room.
The user may then specify the sources of airborne particles, such as persons in the room, as well as the sort of particles released. This data may be used to calculate the number of airborne particles in the room. Lastly, the user may utilize the simulation findings to determine the risk of Covid-19 airborne transmission in the classroom.
Utilizing ANSYS Fluent to assess the risk of Covid-19 airborne transmission in a classroom is a valuable tool that may help to protect the safety of students and faculty. The user may assess the concentration of airborne particles and compute the risk of Covid-19 airborne transmission by modeling the airflow in the classroom. This data may then be used to make judgments on how to best safeguard students and faculty from the danger of Covid-19 airborne transmission.
Coronavirus Patients Breathing in an Airplane
This experiment attempted to mimic the breathing of viral air from the lips of numerous patients with coronavirus in the airplane using the CFD approach and ANSYS Fluent software. This model consists of a computational domain in the form of an airplane and the seats within it, each of which is modeled as a passenger. For each of these passengers, a surface is specified as the mouth as the site of breathing and coronavirus transmission.
ANSYS Fluent is a sophisticated computational fluid dynamics (CFD) software suite for simulating airflow and air quality in an aircraft cabin. This simulation may be used to examine the possible transmission of airborne viruses in an airline cabin, such as the new coronavirus. The simulation may be used to assess airflow patterns, air quality, and possible pathogen propagation. The simulation may also be used to assess the efficiency of various ventilation and air filtration technologies in minimizing viral transmission. Furthermore, the simulation may be used to assess the efficiency of alternative seating arrangements and other cabin designs in limiting viral spread.
CFD Simulation of Drug Delivery in the Human Body:
In this study, CFD is used to mimic drug delivery in the human body. The objective is to understand how medication distribution impacts drug efficacy and to identify possible areas for improvement.
Asthma Spray Inhaler Injection Into the Lung
In this work, Asthma Spray was examined in human lungs utilizing the one-way DPM (Discrete phase material) technique and Ansys Fluent software. Two types of materials are employed in this simulation: air and particles that enter the lungs in a Discrete phase substance. Ansys Fluent software was used to observe particle trajectory within the lung.
Asthma is a chronic lung illness affecting millions of individuals worldwide. It is distinguished by airway inflammation, which causes difficulties breathing, wheezing, and coughing. Many individuals use inhalers to treat asthma, which deliver medicine directly to the lungs. Injections into the lungs are also sometimes used to treat asthma.
Ansys Fluent is a strong computational fluid dynamics (CFD) software tool for simulating airflow through the lungs. This can be used to investigate the impact of various medications, such as inhalers and injections, on the airways and airflow. Ansys Fluent training can help you understand how to utilize the program to simulate and evaluate the flow of air through the lungs.
Setting up the simulation, determining the geometry of the airways, setting up the boundary conditions, and conducting the simulation are all subjects covered in the course. You’ll also learn how to evaluate the data and compare the impact of various therapies on the airways. With this knowledge, you will be able to better understand the impact of different medications on asthma and build more effective treatments.
CFD Simulation of Fluid Flow in a Medical Device:
In this research, CFD is used to model fluid flow through a medical device. The objective is to understand how fluid flow impacts device performance and identify possible areas for improvement.
Inhaler Asthma Spray
We modeled the process of spraying medication particles in this research. As a result, we must employ the Lagrangian method. We should analyze particles in a distinct space, according to this technique. The Discrete Phase Model was then employed (DPM). Finally, for spreading discrete particles, we defined an Injection. Surface injection is used, and Inert particles are used. The particle injection is erratic and occurs in 0.1 seconds.
- To begin, launch ANSYS Fluent.
- Start a new project and choose the sort of simulation to perform.
- Configure the inhaler spray geometry.
- Specify the simulation’s boundary conditions.
- Set up the simulation’s material attributes.
- Create a mesh for the simulation.
- Set the simulation’s solver parameters.
- Run the simulation and see the outcomes.
- Use post-processing to view the flow field and other characteristics.
- Verify the findings with experimental data.
Microfluidic Droplet Generator
ANSYS Fluent is used in this project to study the performance of a microfluidic droplet generation device. Microfluidic droplet-generating devices are utilized mostly in biomedical and bioengineering applications. Doctors and scientists are looking for a mechanism to evaluate biological entities outside of their native environment and in vitro. This article will teach you how to design a microfluidic droplet generator using ANSYS Fluent. This lesson will go over the fundamentals of setting up the simulation, executing it, and evaluating the results.
Configuring the Simulation
The geometry is created as the initial stage in building up the simulation. This is possible with ANSYS Fluent’s Geometry Editor. Two inlets, one for the continuous phase and one for the scattered phase, as well as an outlet, should be included in the geometry. A canal with a constriction in the center should also be included in the geometry. The droplets will be formed using this constriction.
Creating Boundary Constraints
After creating the geometry, the following step is to define the boundary conditions. The inlets should be configured as velocity inlets, with the velocity of the continuous phase adjusted to be greater than the velocity of the scattered phase. The output should be configured as a pressure outlet, with the pressure adjusted to be lower than the incoming pressure.
Creating Material Qualities
The following step is to configure the material parameters for the simulation. Setting the density, viscosity, and surface tension of the two phases is part of this process. The surface tension should be adjusted to be greater than the continuous phase’s viscosity.
Starting the Simulation
The simulation can begin after the geometry, boundary conditions, and material attributes have been established. This is accomplished by selecting the “Run” option in the ANSYS Fluent window. The simulation will continue till the number of iterations provided is reached.
The findings of the simulation can be interpreted once it is completed. The velocity and pressure fields, as well as the size and form of the droplets generated, will be displayed in the results. The findings can help to improve the design of the microfluidic droplet generator.
CFD Simulation of Heat Transfer in a Medical Device:
This project involves utilizing CFD to model heat transfer in a medical device. The objective is to understand how heat transmission impacts device performance and identify possible areas for improvement.
Hyperthermia Therapy of a Cancer Tissue
The current study used Hyperthermia Treatment using ANSYS Fluent software to investigate blood flow in capillaries passing through a tissue containing malignant tumors. We will use a spherical space as an example of healthy human tissue or cell in which blood flows slowly for this reason.
Hyperthermia therapy is a method of cancer treatment that employs the use of heat to destroy cancer cells. It is used in conjunction with other therapies like chemotherapy and radiation therapy. You will learn how to simulate the thermal effects of hyperthermia treatment on cancer tissue using ANSYS Fluent CFD simulation. You’ll discover how to run the simulation, create the boundary conditions, and analyze the outcomes. You will also learn how to analyze the data and offer therapy suggestions. This program will teach you how to correctly replicate the thermal effects of hyperthermia treatment on cancer tissue.
Health Care and Biomedical Industrial Companies
Businesses that specialize in the creation, manufacture, and distribution of medical products and services are known as healthcare and biomedical industrial firms. These firms are in charge of supplying hospitals, clinics, and other medical institutions with essential medical equipment and supplies. Medical gadgets, medications, and other healthcare items are also developed and manufactured by them. These businesses are critical to the healthcare industry because they offer the resources required to guarantee that patients receive the best possible treatment.
The following are the most pioneer Healthcare and Biomedical industries:
- Johnson & Johnson
- Abbott Laboratories
- Merck & Co.
- Becton Dickinson
MR CFD Industrial Experience in the Health Care and Biomedical Field
Following is an example of a Health Care and Biomedical industrial project that are recently simulated and analyzed by MR CFD in cooperation with related companies.
ICU Ventilation Design Improvement, Industrial Application
- The geometry is created in Design Modeler and meshed in ANSYS Meshing.
- One of the patients has a respiratory condition. One of our priorities is to keep it from spreading.
- The one-way discrete Phase Model (DPM) is used to simulate aerosols.
- Another worry in this project is appropriate thermal comfort, which is determined by PPD and PMV parameters.
Computational Fluid Dynamics (CFD) modeling may be utilized to enhance ICU ventilation system design. CFD modeling may be used to examine airflow within the ICU, allowing for the optimization of airflow patterns and the identification of possible areas for improvement. CFD modeling may also be used to investigate the impact of various ventilation methods, such as the use of laminar flow, on ICU air quality. Moreover, CFD modeling may be used to examine the impact of different air filtering systems on the air quality within the ICU. The design of ICU ventilation systems may be enhanced using CFD simulation to offer the best possible air quality within the ICU.
Automatic Ventilation System (AVS): AVS may be used to enhance the design of ICU ventilation systems. These systems may be designed to modify the ventilator rate dependent on the patient’s state, allowing for more accurate control of the ventilation rate. This can assist to limit the danger of over- or under-ventilation, both of which can lead to problems.
Increased Airflow: Increasing the airflow in an ICU ventilation system can help lower infection risk. This may be done by increasing the number of air changes each hour, employing directed airflow, and using air filters to eliminate impurities.
Enhanced Monitoring: Better monitoring systems can assist ensure that the ventilation system is operating correctly and that the patient is getting enough oxygen. This may be accomplished by utilizing sensors to monitor the oxygen levels in the space and notifying workers if the levels fall below or beyond a certain threshold.
Improved Alarms: Enhanced alarms can assist notify workers of any changes in the patient’s condition or breathing system. This can assist ensure that the patient receives the proper quantity of oxygen and that any changes in the patient’s health are treated as soon as possible.
Improved Design: Enhancing the design of the ICU ventilation system can help lower the risk of infection and increase patient comfort. This may be accomplished by utilizing materials that are simple to clean and disinfect, as well as structuring the system to minimize noise and vibration.
MR CFD conducted numerous outsourced CFD simulation projects for industrial companies and research in Health Care and Biomedical Engineering applications. With several years of experience simulating various problems in various CFD fields using ANSYS Fluent software, the MR-CFD team is ready to offer extensive services of CFD Simulation, Training, and Consultation.
You may find the Learning Products in the Health Care and Biomedical Engineering CFD simulation category in Training Shop. You can also benefit from Health Care and Biomedical Engineering Training Packages appropriate for Beginner and Advanced users of ANSYS Fluent. Also, MR CFD is presenting the most comprehensive Health Care and Biomedical Engineering Training Course for all ANSYS Fluent users from Beginner to Experts.
Our services are not limited to the mentioned subjects, and the MR CFD is ready to undertake different and challenging projects in the Health Care and Biomedical Engineering modeling field ordered by our customers. We even carry out CFD simulations for any abstract or concept design you have in your mind to turn them into reality and even help you reach the best design for what you may have imagined. You can benefit from MR CFD expert Consultation for free and then Outsource your Industrial and Academic CFD project to be simulated and trained.
By outsourcing your project to MR CFD as a CFD simulation consultant, you will not only receive the related project’s resource files (Geometry, Mesh, Case & Data, …), but also you will be provided with an extensive tutorial video demonstrating how you can create the geometry, mesh, and define the needed settings(pre-processing, processing, and post-processing) in the ANSYS Fluent software. Additionally, post-technical support is available to clarify issues and ambiguities.