A typical day in the life of a simulation engineer involves data gathering data, referencing historical data, pre-processing the models, solving the simulation problem either locally or via high-performance computing (HPC), post-processing the results, generating reports and archiving data. The process and the level of interaction quickly get complex as more tools, physics and multiple teams are involved.
Tighter environmental regulations coupled with more sophisticated user experience requirements pushes the designs into territories where subtle physical behavior starts to play a more prominent role.
To beat the competition in the electric vehicle market automakers are focused on ensuring EV powertrains are efficient to design, manufacture and operate. As they race forward with EV development, engineers are increasingly using simulation to leverage the potential of holistically optimizing the powertrain with a systems engineering approach.
While autonomy represents an incredibly complex engineering challenge spanning multiple functions, perception systems play a foundational role. Automotive autonomy is only possible if the sensors mounted on the car accurately gather information about the surrounding environment and transmit that data to other systems — such as steering and braking — to trigger an appropriate, safe response.
Like other product design engineers, medical device engineers need to know the traditional mechanical properties of a material they plan to use to ensure it’s up to the task. But that’s not enough. They also need to know how the body will react to the device and how the device will react to the body.
Working with the right data is critical to an efficient workflow, but with all the different stakeholders involved in product design and development, how do you know where the right data is?
To conduct a CAE simulation, there are three important steps to an analysis: pre-processing, solving and post-processing. This post discusses the FEA pre-processing step, specifically the importance of a good quality mesh.
The old, siloed approach to product design and development is being replaced by streamlined workflows where an array of hardware and software needs to work together to foster innovation.
Engineers understand that the individual components they design and simulate are part of larger assemblies, which are part of larger systems, which are part of an ecosystem.
Renowned researcher Bert Blocken, Ph.D., was recently recognized by Engineering.com alongside other pioneering minds, such as Elon Musk and Ansys CEO Ajei Gopal, for his groundbreaking academic research activities in computational fluid dynamics, wall function development and analysis of basic flow phenomena.
On page 40 is the second part of an article presenting a selection of case studies dealing with engineering simulation in the cloud using ANSYS software LS-DYNA, HFSS, and ANSYS Discovery
Live; the first part appeared in the previous edition of the EnginSoft magazine and presented case studies based on ANSYS CFX and Fluent.
In this article (page 35), the first in a series, UberCloud presents a series of case studies of cloud-based services for engineering-specific applications and use cases that objectively demonstrate the progress of cloud computing in this sector over the past seven years.
Liberty University Professor of Mechanical Engineering Dr. Wayne Strasser was recently asked by a company focused on the development of respiratory therapy products to aid them in their research on the spread of COVID-19. The team used Ansys simulation solutions to study the exhale of atomized droplets of saliva and mucus during respiratory therapy in a hospital room.
By modeling how inhalers deliver medication to the lungs, simulation helps medical device companies improve inhaler design and helps physicians train their patients on how to use the inhalers for greatest effect. Modeling done by Dr. Yu Feng's Computational Biofluidics and Biomechanics Laboratory at Oklahoma State University.
The medical device industry uses simulation to optimize the design of ventilators. Physics-based simulation is the most effective method to accelerate product development and ensure these devices reach those in need as quickly as possible. Modeling work performed by ARELabs.
Once a vaccine has been identified, one of the biggest challenges facing the biopharma industry is scaling up the production of the vaccine from laboratory to industrial scale. By using simulation in a virtual environment, drug companies can increase their chances of getting the scale-up process right the first time.
Decontaminating rooms and facilities – whether in preparation for patients or in places where the virus has been identified – helps contain the spread of the virus and protect the health of the vulnerable. Simulations performed by Ansys partner InSilicoTrials Technologies optimizes the decontamination process to ensure clean rooms.
Negative pressure rooms (NPRs) can help to reduce healthcare staff's exposure to the virus while attending patients. Simulation demonstrates different room designs of NPRs and enables teams to optimize the room design, inlet vent placement and blower capacity to avoid oral and nasal plumes from recirculating in the room.
Wearing a face mask correctly for an extended period can be uncomfortable and cause irritation, however, it is necessary to ensure the effectiveness of the mask.
Masks can reduce the risk of contaminating others by up to 6 times. Adjustments can be made to ensure masks are sealed properly to reduce the risk of possible exposure.
Standard social distancing guidelines are insufficient when exercising outside. Analysis by Ansys partners Bert Blocken and Fabio Malizia at TUe & KU Leuven has revealed that substantially more space is required to avoid droplets from the runner or cyclist in front of you.
Viral droplets spread quickly throughout the air. The droplets from a cough will spread to the face, neck and clothing of someone one meter away. At two meters, the risk decreases significantly because gravity pulls the carrier droplets to the ground.
Watch this video to get an overview of how ANSYS simulation is helping medical device and pharmaceutical companies save lives by using in silico tests to safely develop innovative devices and treatment methods in virtual human laboratories. Learn how simulation leads to an incredibly high return on investment for these companies, and how regulatory agencies like the FDA are starting to allow simulation data to be used as part of a faster approval process.
ANSYS Discovery Live is a groundbreaking approach to design, allowing anyone to incorporate engineering simulation earlier into product development. Watch this video to see simulation results in real time demonstrating the design of stents, skis, wireless battery charging systems and control board covers for airplanes — a few of the unlimited applications of Discovery Live.
nTop engineers designed, analyzed and printed a fuel-cooled oil cooler using nTop Platform, ANSYS CFX and a new additive aluminum alloy developed by HRL Laboratories. This blog takes you from start to finish in the series that began in late 2019.
Engineers can now use additive manufacturing, topology optimization and computational fluid dynamics (CFD) to build, shape, optimize and evaluate designs that were previously impossible to produce.
“We believe that simulation is crucial to developing tomorrow's next generation products, and that better data and process management of simulations are needed to enable the digital processes of the future that will support these products,” Peter Schroer . "We see ANSYS and the Aras partnership as a potential game changer to connect simulation to technical processes for traceability, access and reuse throughout the product lifecycle. "
“Collaborating with ANSYS to create an advanced IoT digital twins framework provides our customers with an unprecedented understanding of their deployed assets’ performance by leveraging physics and simulation-based analytics.” — Sam George, corporate vice president of Azure IoT, Microsoft
Configurable safety relays help prevent injuries and damage in factory automation systems by cutting off electrical power in response to data received from sensors. When a safety relay fails, the production line must be halted until the relay can be repaired or replaced, resulting in expensive downtime.
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