A tree-shaped high thermal conductivity channel in a stacked chip with minimizing maximum temperature difference and entropy generation rate

Combining constructal theory with entropy-generation-minimization theory, a model of a stacked chip with tree-shaped high-thermal-conductivity channels (TSHTCC) is established, and its performance are optimized with minimizing non-dimensional maximum temperature-difference (MTD) and non-dimensional entropy-generation-rate (EGR), respectively. Effects of length ratio of first order channel to elemental channel, length and width of first order channel, heat-generation-rate per volume, temperature of heat sink and thermal-conductivity of TSHTCC on its MTD and EGR are analyzed. The results show that optimal construct of TSHTCC obtained with minimum EGR objective stretches slightly towards the center than that with minimum MTD objective. When thickness is 28 μm and width of second order channel is 1500 μm, non-dimensional MTD reaches its minimum at value of 0.824, and is reduced by 17.6 % compared to initial design. When thickness is 29 μm and width of second order channel is 1500 μm, non-dimensional EGR reaches its minimum at value of 0.759, and is reduced by 24.1 % compared to initial design. Non-dimensional MTD and non-dimensional EGR are reduced by 67.9 % and 83.5 %, respectively, compared to those of a model without TSHTCC. Therefore, heat dissipation performances of stacked chip are increased.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2024-12-31
DOI
https://doi.org/10.1016/j.csite.2024.105734
Citations
7
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A tree-shaped high thermal conductivity channel in a stacked chip with minimizing maximum temperature difference and entropy generation rate

Lingen Chen, Xuetong Xi, Huijun Feng, Yanlin Ge
7 citations
Case Studies in Thermal Engineering
Heat Transfer and Optimization
1.49
article

A tree-shaped high thermal conductivity channel in a stacked chip with minimizing maximum temperature difference and entropy generation rate

Lingen Chen, Xuetong Xi, Huijun Feng, Yanlin Ge
article en
7 citations

Abstract

Combining constructal theory with entropy-generation-minimization theory, a model of a stacked chip with tree-shaped high-thermal-conductivity channels (TSHTCC) is established, and its performance are optimized with minimizing non-dimensional maximum temperature-difference (MTD) and non-dimensional entropy-generation-rate (EGR), respectively. Effects of length ratio of first order channel to elemental channel, length and width of first order channel, heat-generation-rate per volume, temperature of heat sink and thermal-conductivity of TSHTCC on its MTD and EGR are analyzed. The results show that optimal construct of TSHTCC obtained with minimum EGR objective stretches slightly towards the center than that with minimum MTD objective. When thickness is 28 μm and width of second order channel is 1500 μm, non-dimensional MTD reaches its minimum at value of 0.824, and is reduced by 17.6 % compared to initial design. When thickness is 29 μm and width of second order channel is 1500 μm, non-dimensional EGR reaches its minimum at value of 0.759, and is reduced by 24.1 % compared to initial design. Non-dimensional MTD and non-dimensional EGR are reduced by 67.9 % and 83.5 %, respectively, compared to those of a model without TSHTCC. Therefore, heat dissipation performances of stacked chip are increased.

Case Studies in Thermal EngineeringVol. 66
Wuhan Engineering Science & Technology Institute (CN), Wuhan Institute of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 19%
Heat Transfer and Optimization
1.49
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.