![]() ![]() This approach works well as long as the structure size is smaller than one tenth of the smallest ![]() ![]() Obviously, a very natural description for every electrical engineer is the usage of lumped element networks constructed from resistance, inductance and capacitance (RLC). Typical examples in the world of electronics are: a bus bar connecting high power components, a signal trace on a PCB, a long via in a high speed channel or a bond wire in a package. Condensing the properties of a physical structure into a lightweight model that describes its behavior adequately allows the usage of such models for further processing, for example in system or circuit (SPICE) simulations. The idea to extract equivalent models from field simulations is probably as old as electromagnetic field simulation itself. Finally, I use a package model with bond wires to demonstrate the most important result findings. I will explain how the new pRLC solver in CST Studio Suite improves the simulation of partial RLC models. In today’s blog entry I will discuss the concept of loop and partial inductance and how to extract RLC models from electromagnetic simulation. He will also explain how the new pRLC solver in CST Studio Suite improves the simulation of partial RLC models, and will use a package model with bond wires to demonstrate the most important result findings.Īnd don’t forget to visit the SIMULIA Community for the simulation models Dr. Andreas Barchanski, SIMULIA Electromagnetics Industry Process Consultant Senior Manager, discuss the concept of loop and partial inductance and how to extract RLC models from electromagnetic simulation. Our newest series will focus on very technical concepts and simulations, delving deep into a particular topic. And that means connecting SIMULIA experts to our users by giving them a platform to educate and inform. The SIMULIA Blog is committed to providing high-quality simulation content that is technical and digestible for a broad audience of simulation enthusiasts. The following post was originally published in March 2021. ![]()
0 Comments
Leave a Reply. |