Decreasing Engineering Design Time with DOEs
Altair EmployeeCAE and data can decrease engineering design time. The steps to get started are simple.
Better design via data is a fundamental tenet of engineering data science. Today’s designs are informed by more than just the intuition of engineers. Best in class products are born from decisions driven by data. This data can be collected from the real world or inexpensively synthesized from computer simulations of real-world conditions on scalable and high-performance computing systems. Designing from previous designs’ data is a self-perpetuating feedback loop of innovation. But where to get started and jump onboard?
Design of experiments (DOE) may be an older technique, but it remains very powerful tool in any engineering data scientist’s toolbox. This engineering.com post is an excellent starting point to substantially decrease the number of engineering hours required for design. Remember that a DOE is not the end of the journey – only the beginning. Although it provides actionable insight on its own, a DOE is a starting point for predictive modeling, machine learning, and other data driven approaches to engineering. There is no better time to evolve your organization’s next steps with simulation driven design.