TIMtrace: Coverage Path Planning for Thermal Interface Materials

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. State-of-the-art path planning approaches are mainly focused on applications with a constant path width. They cannot be transferred to Thermal Interface Materials since the resulting area coverage depends on their complex flow behavior. We propose the fully automated optimization approach TIMtrace , which clearly outperforms the current manual path planning and respects all relevant manufacturing constraints. Generally, the design of an optimization problem highly influences its convergence properties. Our chosen path parameterization keeps the dimensionality of the independent variables reasonably low. We analyze different loss function components and respective weighting strategies with regard to both optimization convergence and result quality. TIMtrace enables an automated planning of dispense paths that do not contain voids, do not violate taboo zones and can be transferred easily to automated dispensing machines. An optimum dispense path helps to increase the reliability of the thermal interface and to make manufacturing more sustainable by reducing material waste. We show results on multiple real products from automotive series production, including experimental validation on actual series manufacturing equipment. • Novel approach for Coverage Path Planning problem. • Consistently outperform state-of-the-art approach for Thermal Interface Material. • Proposed method reduces: engineering efforts (by 80 %), material waste, cycle-time. • Results are validated on series manufacturing equipment using two actual products.

Authors

Institutions

Publication Details

Journal
Thermal Science and Engineering Progress
Published
2025-04-01
DOI
https://doi.org/10.1016/j.tsep.2025.103530
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TIMtrace: Coverage Path Planning for Thermal Interface Materials

Ralf Mikut, Simon Baeuerle, Andreas Steimer
1 citations
Thermal Science and Engineering Progress
Robotic Path Planning Algorithms
1.28
article

TIMtrace: Coverage Path Planning for Thermal Interface Materials

Ralf Mikut, Simon Baeuerle, Andreas Steimer
article en
1 citations

Abstract

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. State-of-the-art path planning approaches are mainly focused on applications with a constant path width. They cannot be transferred to Thermal Interface Materials since the resulting area coverage depends on their complex flow behavior. We propose the fully automated optimization approach TIMtrace , which clearly outperforms the current manual path planning and respects all relevant manufacturing constraints. Generally, the design of an optimization problem highly influences its convergence properties. Our chosen path parameterization keeps the dimensionality of the independent variables reasonably low. We analyze different loss function components and respective weighting strategies with regard to both optimization convergence and result quality. TIMtrace enables an automated planning of dispense paths that do not contain voids, do not violate taboo zones and can be transferred easily to automated dispensing machines. An optimum dispense path helps to increase the reliability of the thermal interface and to make manufacturing more sustainable by reducing material waste. We show results on multiple real products from automotive series production, including experimental validation on actual series manufacturing equipment. • Novel approach for Coverage Path Planning problem. • Consistently outperform state-of-the-art approach for Thermal Interface Material. • Proposed method reduces: engineering efforts (by 80 %), material waste, cycle-time. • Results are validated on series manufacturing equipment using two actual products.

Thermal Science and Engineering ProgressVol. 61
Applied Materials (United Kingdom) (GB), Robert Bosch (Netherlands) (NL), Robert Bosch (Germany) (DE)
Openalex Percentile: Top 22%
Robotic Path Planning Algorithms
1.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.