Engineering Futures Podcast - Episode #2 Data-Driven Simulation in Engineering
“Things that you can kind of draw from this extra capability are all sorts of benefits really like more sustainability, saving money, and cutting down on the amount of material you might need to use. ”
Ed Hollis
ºÚÁϲ»´òìÈ Digital engineering
ºÚÁϲ»´òìÈ's Commitment to Revolution
Find out how we are challenging the status quo by weaving data science into traditional Finite ºÚÁϲ»´òìÈ Analysis (FEA) and Computational Fluid Dynamics (CFD). This episode elaborates on various key dimensions, such as sensitivity analysis, uncertainty qualification, optimization, and inverse analysis.
Technological Catalysts Changing the Game
The role of technology cannot be overstated when it comes to shaping the future of engineering. We discuss the transformative influence of high-power computing and how accessible open-source tools like Python are redefining contemporary simulation methods.
Insights from Inside ºÚÁϲ»´òìÈ Digital Engineering
This episode features an enlightening case study on Dakota, an open-source tool. This case study revolves around a 2D foil simulation that demonstrates how to optimize designs and quantify uncertainties, serving as a practical example of our pioneering approach.
Why Should You Care About Data-Driven Simulation in Engineering?
The benefits of data-driven simulation are not limited to theoretical discussions; they manifest in real-world applications:
- Design Efficiency:Understanding sensitivity aspects helps in streamlining design processes.
- Client Data Integrity: Uncertainty quantification ensures that client data is accurate and reliable.
- Product Quality: Optimization techniques contribute to elevating the quality of end products.
Glimpse into the Future
As we look ahead, the prospects are limitless:- Making the leap from 2D to 3D simulations.
- Growing utilization of surrogate models for faster and more efficient simulations.
- A forward-looking agenda to implement data-driven techniques in forthcoming client projects.
Wrapping Up: A Look at the Transformational Impact of Data-Driven Simulation
In summary, this episode of Engineering Futures serves as your comprehensive guide to the burgeoning field of data-driven simulation in engineering. We don't just scratch the surface; we delve into its role, importance, and its promising future. From theoretical principles to practical examples, this episode is a must-listen for anyone interested in the next big thing in engineering.
Find related Resources
Digital Engineering podcast series
In our Engineering Futures series, this engineering podcast goes beyond the challenges of hydrogen use. We bring in experts from ºÚÁϲ»´òìÈ Digital Engineering to shed light on ground-breaking projects and demonstrate the value of digital engineering in providing insight, understanding and answers to complex engineering and technology challenges.
Topics range from data-driven simulation research and development to applications of advanced simulation techniques, like Computational Fluid Dynamics (CFD), in the food industry. Tune in to understand how we answer complex engineering questions across a diverse range of industries and technical disciplines.
Related Resources
ºÚÁϲ»´òìÈ Digital Engineering
Utilize modeling, simulation, data science, and other digital solutions to help our customers solve complex problems.
Our team helps you get the most from your assets and products at every stage of the lifecycle to help you to stay ahead of the competition.
Take your business on a digital transformation journey with ºÚÁϲ»´òìÈ to drive performance, predict future outcomes and solve complex problems.
READ MORE