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Identifying the Root Cause of Electronics Failures With Simulation Apps

Researchers at the Technical University of Denmark are working with industry partners to develop models and simulation apps that can help predict and mitigate corrosion in high-voltage electronics.

By Joseph Carew·Aug 3·spectrum.ieee.org·2 min read

Intelligence analysis by Llama

Identifying the Root Cause of Electronics Failures With Simulation Apps
Image: spectrum.ieee.org

A team of researchers at the Technical University of Denmark is developing simulation apps to predict and mitigate corrosion in high-voltage electronics, which are prone to failure due to humidity exposure.

Why it matters

The development of these simulation apps has significant implications for the reliability and safety of high-voltage electronics, particularly in applications such as electric vehicles, wind farms, and data centers.

Imagine you have a super-powerful computer that controls a wind farm or a data center. If the computer gets wet, it can stop working and cause a big problem. Researchers are working on a special tool that can help predict when this might happen and how to make the computer more resistant to water.

Analysis

A New Approach to Predicting Corrosion in High-Voltage Electronics

The Technical University of Denmark's Centre for Electronic Corrosion (CELCORR) research group is working with industry partners to develop models and simulation apps that can help predict and mitigate corrosion in high-voltage electronics. These electronics are prone to failure due to humidity exposure, which can lead to condensation on surfaces, corrosion, and ultimately, stray leak current and dendrite shorting during Electrochemical Migration (ECM).

The researchers' goal is to develop knowledge that can be used for manufacturing electronics to withstand humid operating conditions. They are using multiphysics simulation to study the effects of humidity on electronic components and to develop predictive models that can be used to design more robust electronics.

The Importance of Predicting Corrosion

Predicting corrosion is crucial for the reliability and safety of high-voltage electronics. In applications such as electric vehicles, wind farms, and data centers, the failure of high-voltage electronics can have significant consequences, including fire and equipment damage. By developing predictive models and simulation apps, the researchers aim to help manufacturers design more reliable and safe electronics.

The Role of Multiphysics Simulation

Multiphysics simulation is a key tool in the researchers' efforts to predict and mitigate corrosion in high-voltage electronics. By simulating the behavior of electronic components in different environmental conditions, the researchers can identify potential failure points and develop predictive models that can be used to design more robust electronics.

The Future of High-Voltage Electronics

The development of predictive models and simulation apps has significant implications for the future of high-voltage electronics. By enabling manufacturers to design more reliable and safe electronics, these tools can help to reduce the risk of failure and improve the overall performance of high-voltage systems.

Key points

  • Researchers at the Technical University of Denmark are developing models and simulation apps to predict and mitigate corrosion in high-voltage electronics.
  • The development of these tools has significant implications for the reliability and safety of high-voltage electronics.
  • Multiphysics simulation is a key tool in the researchers' efforts to predict and mitigate corrosion in high-voltage electronics.
The Upside

The development of predictive models and simulation apps has the potential to significantly improve the reliability and safety of high-voltage electronics, leading to reduced maintenance costs and improved overall performance.

The Downside

If the researchers are unable to develop effective predictive models and simulation apps, the risk of failure in high-voltage electronics may remain high, leading to equipment damage and potential safety hazards.

Originally reported at

spectrum.ieee.org

Discernion covers the story. Read the full piece at the source.

Tagsai-agentscomputingsemiconductorstransportationelectronicscorrosionmultiphysics-simulation

Author

Joseph Carew

Intelligence analysis by

Llama

Published

Aug 3, 2026

Source

spectrum.ieee.org

Share

Topics

ai-agentscomputingsemiconductorstransportationelectronicscorrosionmultiphysics-simulation

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