Rather than just listing all the new capabilities for system simulation and analysis in the latest release of ANSYS Simplorer, I thought it would be interesting to share a cool example of how our systems capabilities have been applied to health monitoring of an automotive braking system. And along the way, I’ll highlight how the advancements in ANSYS 18 help our customers model and simulate systems such as these.
This example illustrates a physics-based system model intended to support health monitoring and predictive maintenance of automotive braking systems. And while this is an automotive example, our customers throughout different industries are developing similar capabilities to monitor and manage the performance of their products in operation — all in the name of improving safety, performance, and overall customer satisfaction. Continue reading
We’ve discussed the need to simulate a full system quite a bit in this blog over the years. The need is clear: as products become smarter and more complex, component or sub-system simulation alone isn’t sufficient. As automobiles become computers on wheels, as your mobile phone has more compute power than the desktops of only a few years ago, there are new ways for products to fail. In other words, systems safety and reliability analysis is more critical than ever. Continue reading
A few weeks ago, I had the honor and privilege of being one of a few invited attendees at the DOE Mission Innovation Workshop on Grid Modernization. The workshop was hosted by the University of Pittsburgh and held at the Energy Innovation Center. Attendees included leaders from the Department of Energy, Pittsburgh city government officials, community and foundation organizations, and representatives from key local industries — including major utilities, electrical system integrators, electrical system manufacturers and technology companies (like ANSYS).
Pittsburgh, and other similar cities, face significant energy and sustainability challenges over the next few years. These challenges stem primarily from the significant disparity in the goals that have been set — as can be seen in the SmartPGH video — and the current state of the grid and industrial equipment. Continue reading
A number of new and exciting workflow enhancements were included in ANSYS SCADE 17.2 for those who are validating and testing embedded software. In this blog, I’ll cover the top 3 enhancements.
Virtual System Testing Using Simplorer Entry
In ANSYS 17.2, all SCADE Suite users can immediately simulate and analyze virtual system prototypes thanks to the bundling of Simplorer Entry.
One of the main objectives of embedded software users is to perform closed-loop testing to tune the software application — as early as possible. As a best practice, embedding the application within a virtual environment is a great way to reduce testing costs. It can be performed first with simplified model of the environment using Modelica language then moved to high-fidelity models. Continue reading
As one of today’s avionics system engineers, you have a difficult task — integrating a diverse range of functionally complex components, provided by multiple suppliers, into a system that is reliable enough to ensure consistent aircraft performance and passenger safety. You also need to understand and meet numerous regulatory operating systems and protocols, including ARINC 653, ARINC 429, CAN and ARINC 664. Continue reading
Last summer, we shared with you some of the advances in ANSYS 16.2 as they related to virtual systems prototyping, including how you can optimize your product development process and improve collaboration among different departments and disciplines. I’m happy to let you know that we’ve continued to enhance our systems offering with the latest release of ANSYS Simplorer in ANSYS 17.0.
I’m personally most excited about the native support for Modelica in this new version of ANSYS Simplorer. Why? ANSYS Simplorer users will be delighted to know that you can create and assemble models faster than ever using Modelica models. Native support for the Modelica language allows you to import Modelica models directly into Simplorer. New library components provide access to hundreds of additional mechanical and fluid component models for complex electrified systems. Continue reading
I recently had the pleasure of representing ANSYS as an invited plenary speaker at the MoRePaS international workshop on Reduced Order Modeling. Model order reduction techniques and the resulting Reduced Order Models are a critical technological advancement that are extremely important in the context of System Level Simulation. Applications of ROMs are vast, ranging from enabling product designers to more accurately simulate the whole product to enabling real-time system analysis. Continue reading
The objective of simulation software is to inform design choices and provide validation results that include systems-level qualities, properties, characteristics, functions, behavior and performance insight. The simulation solution needs to go beyond the parts, or engineering disciplines of the design, and accurately describe the interacting effects of these parts as well as an accurate view into the detail of how these parts perform — essentially a virtual system. Continue reading
Engineering teams and IT managers have been at constant odds with each other over vendor consolidation. IT wants to reduce costs by consolidating applications, Engineering wants best-in-class tools for specific tasks at hand. Over the past fifteen years, Engineering has had their way, and the IT organization has been left with a web of suppliers and tools to manage. Continue reading
You can’t turn on the news without hearing about the latest scandal to hit the sports industry. The New England Patriots — the National Football League (NFL) team that faces the defending champ Seattle Seahawks in Super Bowl XLIX this Sunday — are under pressure (pun intended) for using under-inflated footballs when they routed the Indianapolis Colts in the recent AFC championship that decided who would go on to the Super Bowl. One of the theories around DeflateGate is that a softer, less inflated ball will deform more when grasped, making it easier to hold. This could make for a more consistent pass, or a softer catch.
So, as simulation experts, what can we add to the national dialogue? Good question! Continue reading