Performance, reliability and speed challenges are increasingly present in the aerospace and defense industry. Traditional simulation methods often reach their limits, leading to delays and additional costs.
Model reduction is the key to speeding up your processes while maintaining accuracy. Why perform all your calculations in 3D when the 1D approach can give you equivalent results much faster? Learn how this method transforms your simulations and optimizes your workflows.
You will learn:
•The benefits of model reduction and how it enables faster and more efficient simulations
•How 1D and 3D integration allows for maximum optimization of your simulation processes
•Real-world demonstrations of our solutions, including model reduction and integration with our electronic test machines for more powerful analyses
Join us to discover how to implement these solutions in your projects for immediate productivity gains.
Senior Solutions Consultant - 3D Fluids Center of Excellence
John graduated from Michigan State University with a PhD in Mechanical Engineering. He joined Siemens Digital Industries Software a little over 3 years ago after working at Dow Chemical and affiliate companies for 10 years. His responsibilities there included design, simulation and optimization of processing equipment involving applications such as structural analysis, vibration, heat transfer and fluid dynamics. Prior to Dow he worked at the National Superconducting Cyclotron Lab, where he led the Mechanical Design Department’s Analysis & Simulation team. He began his career in academia serving as a full-time mechanical engineering faculty member first at Kettering University and then at Grand Valley State University, both in Michigan.
Outside of work John enjoys running and working on classic cars. He also leads groups of college students on service trips where they volunteer on home rehabilitation projects in some of the poorest regions of the US, within the Appalachian Mountains of East Kentucky. John lives with his wife and daughter in the outskirts of rural Michigan.