How simulation can accelerate your digital transformation


How simulation can accelerate your digital transformation

Around the mahogany tables of corporate boards and the plywood workbenches of garage-based startups, one topic has threatened to monopolize business discussions for years: digital transformation.

The first question in these discussions is often a form of “what is digital transformation?” The short answer is “everything”. After all, what business isn’t using digital tools to improve traditional workflows or capitalize on new business models made possible by our ever-changing digital economy?

The slightly longer answer is: digital transformation is about using computers, software, and data to better understand what customers want, and then delivering those experiences. It’s that simple and as complicated as that.

It’s simple because it’s like nothing has happened: investing in new technology to create a better product. It’s complicated because the status quo is being disrupted across industries by a deluge of valuable data that promises personalized medicine, net carbon airlines, autonomous vehicles, smart cities, the industrial internet of things. (IIoT) and more, if this data can be effectively applied.

Exploring, understanding and applying data to meet changing customer needs is the most significant digital transformation challenge facing businesses across industries. To meet this challenge, companies are trying to make sense of the information they collect to better inform decisions as they compete to get the best products to market faster.

Simulation enables digital transformation

Simulation helps businesses achieve these goals by enabling them to accurately predict and visualize what will happen in a given environment (in an automobile, industrial facility, or even a person) under a certain set of circumstances.

A leading original equipment supplier (OEM) for the automotive industry, thyssenkrupp Presta AG, has achieved a weight reduction target of 50%. The company achieved this by replacing the metal housing of a power steering system with an injection-molded housing of short-fiber reinforced glass fiber composite.

The use of simulation solutions gave thyssenkrupp Presta confidence in the design of the plastic case before it was actually manufactured. The adoption of an innovative and lightweight plastic housing for its steering system supports both ecological and economic goals of the company.

Digital twins can be connected to IIoT platforms, enabling remote predictive maintenance of physical equipment to extend digital transformation initiatives to the edge of the enterprise.

ENGIE, one of the world’s leading providers of energy efficiency services, helps companies switch to carbon-free energy using digital simulation solutions.

“This real-time technology allows us to observe and predict the behavior of our installation, and thus test equipment operating strategies by implementing, testing and validating different scenarios instantly on the digital twin before deployment on the equipment. . says Nicolas Meynet, expert in multiphysics simulation at ENGIE Lab CRIGEN. “The customer can better understand, anticipate and validate the proper functioning of his [or her] installation by virtually testing changes to the equipment.

Digital twins in healthcare

What if the digital twin functionality extended to people? Lives could be saved, as drugs, surgeries and treatment regimens are all based on individual characteristics rather than generalities.

“Each human body is distinct in its geometry, movements and behaviors. By creating a patient-specific simulation, we can predict how a proposed treatment plan will work not only in a generalized way, but in some cases also for a specific person ”, said Dr Liesbet Geris, professor-researcher in biomechanics and computational tissue engineering at the University of Liège and at the Katholieke Universiteit Leuven in Belgium. “It’s a revolutionary concept that has the potential to fundamentally change the way we treat patients in a medical setting. “

Geris has a long history of using simulation in his research, which focuses on bone and cartilage regeneration, computer tissue engineering, and the design of orthopedic implants that can be 3D printed on demand.

Accurate predictions and visualization are powerful forces in digital transformation. Simulation allows companies to see how new data affects a design, even though these changes are invisible to the naked eye, such as heat flows around a circuit board, electromagnetic interference caused by lightning hitting an airplane, or the reflection of the sun on a LiDAR camera lens that has not yet been built. These visuals are both invaluable for collaboration and for exploring “what if” scenarios that lead to innovative designs.

Simulation speeds up system design and development

Whether it’s using a new, lighter material to design a more fuel-efficient aircraft, modeling a battery in an autonomous vehicle, or designing an integrated circuit in a mobile phone, simulation accelerates design and development. products by minimizing or avoiding the time and expense associated with legacy design-build-test cycles that require multiple physical prototypes.

As companies realize the tremendous benefits of component simulation, they can apply simulation to the subsystems and systems that make up those components. However, this creates large, complex digital models that could take days to solve on a conventional computer workstation.

While this is exponentially better than months of building and testing physical prototypes, it can be even faster; Ansys simulation software can leverage the power of high performance computing (HPC) and cloud computing to accelerate simulation times. Ansys Cloud enables access to on-demand cloud-based computing resources, including interactive workstations and HPC clusters, for faster high-fidelity results with a better understanding of performance.

Ansys has also developed workflows that use Reduced Order Model (ROM) techniques to dramatically reduce simulation run times without sacrificing precision.

ABB engineers Quickly and accurately analyzed the thermal behavior of electric traction motors throughout their full duty cycles by coupling the Ansys Fluent simulation software with the dynamic ROM from Ansys Twin Builder. ROM gave the ABB team a way to achieve extremely fast thermal performance results, allowing ABB engineers to examine an engine model, select random operating parameters, and quickly demonstrate a model’s behavior. traction in response.

With a traditional solver, this process would take several hours or even days. Using dynamic ROM, engineers accomplished this task in milliseconds.

Businesses across industries have made simulation a key part of their digital transformation efforts. This allows them to optimize product design and development, ensure system components interact seamlessly, and bring innovations to market faster, all without the expense of building and testing multiple prototypes.

To learn more about how Ansys simulation solutions are accelerating digital transformation, Click here.

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