Unified Parametric Optimization Framework for Microchannel Fin Geometries in High-Power Processor Cooling

This study presents a unified parametric optimization framework for the thermal design of microchannel spreaders used in high-power processor cooling. The fin geometry is expressed in a shape-agnostic parametric form defined by fin thickness, top and bottom gap widths, and channel height, without prescribing a fixed cross-section. This approach accommodates practical fin profiles ranging from rectangular to tapered and V-shaped, allowing continuous geometric optimization within manufacturability and hydraulic limits. A coupled analytical-numerical model integrates conduction through the spreader base, interfacial resistance across the thermal interface material (TIM), and convection within the coolant channels while enforcing a pressure-drop constraint. The optimization uses a deterministic continuation method with smooth sigmoid mappings and penalty functions to maintain constraint satisfaction and stable convergence across the design space. The total thermal resistance (Rtot) is minimized over spreader conductivities ks=400-2200 W m<sup>-1</sup> K<sup>-1</sup> (copper to CVD diamond), inlet fluid velocities Uin=0.5-5.5 m s<sup>-1</sup>, maximum pressure drops of 10-50 kPa, and fluid pass counts Np∈{1,2,3}. The resulting maps of optimized fin dimensions as functions of ks provide continuous design charts that clarify how material conductivity, flow rate, and pass configuration collectively determine the geometry, minimizing total thermal resistance, thereby reducing chip temperature rise for a given heat load.

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Publication Details

Journal
Micromachines
Published
2026-01-08
DOI
https://doi.org/10.3390/mi17010086
Primary Topic
Heat Transfer and Optimization
Type
article
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article

Unified Parametric Optimization Framework for Microchannel Fin Geometries in High-Power Processor Cooling

Abtin Ataei
Micromachines
Heat Transfer and Optimization
article

Unified Parametric Optimization Framework for Microchannel Fin Geometries in High-Power Processor Cooling

Abtin Ataei
article en

Abstract

This study presents a unified parametric optimization framework for the thermal design of microchannel spreaders used in high-power processor cooling. The fin geometry is expressed in a shape-agnostic parametric form defined by fin thickness, top and bottom gap widths, and channel height, without prescribing a fixed cross-section. This approach accommodates practical fin profiles ranging from rectangular to tapered and V-shaped, allowing continuous geometric optimization within manufacturability and hydraulic limits. A coupled analytical-numerical model integrates conduction through the spreader base, interfacial resistance across the thermal interface material (TIM), and convection within the coolant channels while enforcing a pressure-drop constraint. The optimization uses a deterministic continuation method with smooth sigmoid mappings and penalty functions to maintain constraint satisfaction and stable convergence across the design space. The total thermal resistance (Rtot) is minimized over spreader conductivities ks=400-2200 W m<sup>-1</sup> K<sup>-1</sup> (copper to CVD diamond), inlet fluid velocities Uin=0.5-5.5 m s<sup>-1</sup>, maximum pressure drops of 10-50 kPa, and fluid pass counts Np∈{1,2,3}. The resulting maps of optimized fin dimensions as functions of ks provide continuous design charts that clarify how material conductivity, flow rate, and pass configuration collectively determine the geometry, minimizing total thermal resistance, thereby reducing chip temperature rise for a given heat load.

MicromachinesVol. 17(1)
Sax Institute (AU), II-VI (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 93%
Heat Transfer and Optimization
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