You can’t build a high-quality sensor if you don’t really know how its going to perform. And you can’t push that performance to the cutting-edge if you don’t really understand the physics of what’s going on inside. That’s why IC² starts every development effort with physics-based, reduced-order modeling of the system. This lumped-element model captures the key physics in a clear manner to gain an intuitive understanding of the factors that affect performance. It is that deep understanding that enables rapid convergence to a sensor design that meets targeted specifications.
We then take it a step further through formal optimization. Once the lumped element model clearly reflects the underlying physics, we plug that model into a formal optimization routine to push the performance as far as possible while still meeting fabrication constraints. The result is a high-performance, fully-buildable sensor design.
Finally, we use finite element modeling / analysis (FEM / FEA) to verify our sensor designs at any stage along the way. With proper usage, FEM can provide very detailed, highly accurate simulation results, thereby adding confidence in the sensor design. By using lumped-element modeling early in the process and saving FEM for verification we can rapidly converge on an optimal solution to meet targeted specifications.
IC²'s modeling and simulation services and capabilities include: