Digital Twin of a Motor and Pump System – Second Edition

About a year ago, my colleague, Eric Bantegnie, wrote a blog that described how we, along with our partners PTC, NI and HPE, had created a digital twin of a pump and one of its valves. We showcased this at PTC LiveWorx. I’m happy to announce that work continues with our partners on a new and expanded version of the digital twin of this pump and its valves to its motor and electric drive.

Why is this exciting and important? This enhanced digital twin demonstrates a multi-domain system including fluids, electromechanical, electromagnetics and thermal  aspects, coupled with a user friendly Human Machine Interface (HMI),  to solve a challenging problem that faces motor designers and operators — determining, monitoring and maintaining the optimal temperature at which to operate the motor and its components on a consistent basis. Why does this matter? Every 10 degree Celsius increase in operating temperature of the motor and components over their optimum temperatures decreases the life of the motor by half! Continue reading

Why Digitalization Needs Physics-Based Simulation

Digitalization, digital transformation, and digital twins have become key business initiatives at many companies. The goal of these initiatives ultimately is to accelerate revenue and profitability growth by speeding innovation, improving productivity, and increasing reliability across the enterprise. Industry leaders know that revenue and profitability both suffer when their product fails to meet design objectives, underperforms the competition or does not meet customer expectations. When your product fails, your customer is unhappy, your re-design costs will be higher than planned, your reputation may be damaged, or worse, you may go out of business.

Given the complexity of today’s products, how can companies be sure that they will deliver the most reliable and innovative products to the market? Moreover, how can they leverage their product superiority to deliver additional value to their customer and more profitability for their business? Continue reading

System Simulation for Model-driven Automotive Health Monitoring and Predictive Maintenance

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

Systems Simulation Advances With ANSYS’ Acquisition of Medini

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

The Role of Engineering Simulation in Energy Innovation

engineering simulation energy innovationA 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

New Capabilities for Testing Embedded Software Announced

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

Avionics System Engineering: A Complex Problem Demands an Advanced Solution

avionics system engineering cockpitAs 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

Virtual Systems Prototyping with Modelica in ANSYS Simplorer

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.

modelica logoI’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

Reduced Order Modeling in the Context of System Level Simulation

Sameer ROMI 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

Enabling Virtual System Prototyping with ANSYS Simplorer

simulation_graphicThe 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