A couple weeks ago, I found myself in an interesting conversation. I was talking with a software executive who was considering starting up a new software company in the simulation space. His most basic question was “where is the greatest need in simulation today?”
I’ll be frank; I struggled to answer. Not because all of simulation’s problems have been solved. Far from it. But it was difficult because the answer varies so widely depending on the ‘who’ and the ‘what’ of it. The needs of simulation users in different phases of the design cycle have diverged significantly. Let me explain.
Using simulation, engineers can optimize designs long before production for objects like this mold.
This translates into specific critical capabilities. Concept geometry tends to be simplistic and representative, perhaps even in 2D. So integration into fully detailed 3D models with CAD isn’t as important. Automated simulation iteration, such as design of experiments, maps out the performance in the design space. Lastly, topology optimization, which suggests new shapes for consideration, is highly applicable.
From a simulation capabilities perspective, these users need a few important capabilities. Tight integration with 3D modeling is critical. So is direct modeling to assist in simplification and abstraction. Parametric optimization and sensitivities allow users to hone in on the right size of the component by finding the right balance between design criteria, such as weight, performance goals, and maximum stress that leads to failures.
For this phase, accuracy of the simulation tends to rise to the top of the list. This translates to a combination of capturing best practices and solver tuning. It is critical to take multi-physics into account as combined phenomena across structural, dynamics, thermal, excitation, fatigue, chemical and more can easily account for failures. For example, thermal expansion can directly impact the structural performance components. Chemical reactions affect the fluid dynamics behavior of fluids flowing through pumps and valves. Lastly, a point often overlooked is that simulation automation is very important. Because there is such a long queue of work for simulation analysts, they need tools to help them get their work done more quickly so they can expand their bandwidth.
There are challenges related to simulation up and down the design process. And there are emerging technologies that are beginning to address them. But if you are looking to improve the effectiveness of simulation in design, whether you are an engineering leader or prospective software CEO, there are widely varying problems that can be addressed. Each needs very different solutions.
In detailed design, the need is to compare the performance between slight variants as well as size components. Tight integration with CAD and direct modeling is crucial. Parametric optimization and sensitivities are highly useful.
In verification and validation, the key is to avoid prototyping and testing failures. Simulation accuracy and multi-physics rule the needs of users here. Simulation automation is advantageous in that it expands the bandwidth of simulation analysts with deep queues of work.
Well, there’s my take. Ready to sound off? Do you see the needs of users in these different phases of design differently? How so? Furthermore, what other simulation capabilities do you think would make an impact in each of these areas? I’m looking forward to your thoughts.
Take care. Talk soon. Thanks for reading.