mlsanityData to 14 Oct 2026

Coverage Path Planning for Thermal Interface Materials

arXiv 2405.13512 ↗First posted 22 May 2024eess.SY cs.LG cs.SYcited by 0

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Abstract (arXiv)

Thermal management of power electronics and Electronic Control Units is crucial in times of increasing power densities and limited assembly space. Electric and autonomous vehicles are a prominent application field. Thermal Interface Materials are used to transfer heat from a semiconductor to a heatsink. They are applied along a dispense path onto the semiconductor and spread over its entire surface once the heatsink is joined. To plan this application path, design engineers typically perform an iterative trial-and-error procedure of elaborate simulations and manual experiments. We propose a fully automated optimization approach, which clearly outperforms the current manual path planning and respects all relevant manufacturing constraints. An optimum dispense path increases the reliability of the thermal interface and makes the manufacturing more sustainable by reducing material waste. We show results on multiple real products from automotive series production, including an experimental validation on actual series manufacturing equipment.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 45 references that are in the map. First posted on arXiv 22 May 2024.

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6 of 45 references.

References · 6

  1. 2019Optuna: A Next-generation Hyperparameter Optimization Frameworkcited by 2,501
  2. 2016The CMA Evolution Strategy: A Tutorialcited by 377
  3. 2020UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learningcited by 15
  4. 2016Online Informative Path Planning for Active Classification Using UAVscited by 11
  5. 2019Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structurescited by 2
  6. 2022Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networkscited by 2

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