The efficiency of thermal interface materials (TIMs) is critical in electronics, e-mobility batteries, and power systems. Developing TIMs requires optimizing thermal properties, mechanical integrity, and long-term reliability. Integrating AI, simulation, circular development, and big data offers faster, sustainable development pathways. AI identifies patterns in simulation data, enhancing TIM efficiency and accelerating innovation. Simulations enable virtual modeling to optimize TIM performance before prototyping. Circular development incorporates iterative feedback loops, enabling continuous improvements in design and production processes. Big data management streamlines analysis, identifying trends to inform decisions. This talk will demonstrate how the integration of simulation, AI, circulating development, and big data management can advance the development of TIMs to improve the performance of electronic devices and systems while accelerating the development process.
You will learn more about:
- How a manufacturer of thermal interface materials reacts to shorter design cycles from the industry, changing requirements, and a dynamic market
- How the use of AI and Digital Tools looks in practice
- What is the effective benefit for the customer in e-mobility with circulating development also implementing Battery Application and Tests Centers
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