About Michael Kuron

Mike Kuron has extensive experience managing and performing CFD consulting projects across a wide range of applications in the aerospace, nuclear, defense, power generation, and electronics industries. He has earned his Ph.D. at the University of Connecticut, concentrating on the development of models for species mixing in turbulent premixed flames, as well as transported probability density function methods in turbulent combustion. As a Lead Consulting Engineer at ANSYS, Mike works with clients around the world to improve their analysis workflows and tackle challenging engineering problems.

Thermo-Mechanical Analysis Methods for Printed Circuit Boards: Part 2

In part one of this series, we discussed modeling approaches for the complex geometry found in printed circuit boards. Now, we’ll move on to discussing methods for characterizing the thermal properties of integrated circuit (IC) packages.

Analysis of IC packages is critical at many levels of the design process, including package level thermal design, board level modeling including heat sink designs and package viability, as well as system level flow and thermal characterization. Much like a PCB, IC packages are geometrically complex, with disparate length scales that are challenging to explicitly capture in an analysis.

Typical IC Packages  Continue reading

Thermo-Mechanical Analysis Methods for Printed Circuit Boards: Part 1

As electronic devices become smaller and more ubiquitous, the printed circuit boards and components that drive them face increasing power densities and evermore complexity. To ensure product reliability and performance, accurate and detailed analysis methodologies are necessary. In a three-part series, Mike Bak and I will discuss modeling approaches for the thermo-mechanical analysis of printed circuit boards and their components. In part one of this series, I will cover modeling approaches for the PCB itself.

A typical PCB will have multiple layers, each one having its own distribution of FR-4 and copper traces and vias. Take the board layout shown in Figure 1 as an example, which has over 16,000 traces and vias across 7 layers. The complex board geometry leads to spatially varying material properties (i.e. modulus of elasticity, density, thermal conductivity, etc.) that must be accurately specified by the analyst for any type of simulation.

Thermo-mechanical Analysis of a printed circuit board

Figure 1: Typical PCB Layout Geometry

So, what are some ways that we can model this type of geometry? I’ve outlined below some common approaches: Continue reading