Ansysは、シミュレーションエンジニアリングソフトウェアを学生に無償で提供することで、未来を拓く学生たちの助けとなることを目指しています。
Ansysは、シミュレーションエンジニアリングソフトウェアを学生に無償で提供することで、未来を拓く学生たちの助けとなることを目指しています。
Ansysは、シミュレーションエンジニアリングソフトウェアを学生に無償で提供することで、未来を拓く学生たちの助けとなることを目指しています。
We'll present a comprehensive workflow for thermal simulation of PCBs. And show how this solution can be automated using Python to speed up overall simulation time and considerably decrease labor costs.
A thermal simulation process for printed circuit boards (PCBs) consists of many individual steps before the PCB model is ready for simulation. It requires importing PCB and Components via ODB++ and IDF, assigning materials and thermal blocks to dozens of components, and setting boundary conditions and proper mesh operations, to name a few.
To enhance simulation accuracy, it is often also necessary to consider joule heating of the planes and traces, which requires an additional dc simulation using SIWave. All these steps are usually done manually by the simulation engineer, and this can be exhausting and time-consuming depending on PCB size and component count.
This webinar will present a comprehensive workflow for thermal simulation of PCBs. We will show that this solution can be automated using Python to speed up overall simulation time and considerably decrease labor costs.
The workflow is implemented using Ansys SIWave, Ansys Icepak, and PyAEDT.
Simulation, Thermal and Validation Engineers, Hardware Developers
Michael Schreittmiller, Modules Expert HW, Webasto Roof & Components SE