Numerical Investigation of Thermal-flow Characteristics of Heat Sinks with Lattice Structures and Pin Fins
Bibliographic record
Abstract
There is a growing demand for compact advanced thermal management systems to effectively dissipate heat generated by high-power technologies.Traditional cooling methods are often inadequate in meeting the increasingly severe thermal management requirements [1].Therefore, novel approaches such as additive manufacturing have attracted considerable attention due to their potential to overcome the limitations of fabricating complex structures [2].Additive manufacturing enables the creation of novel, compact structures with greater surface-to-volume ratios and geometries than standard pin/fin arrays.We propose special architected heat sinks suitable for additive manufacturing techniques, particularly triply periodic minimal surface (TPMS), and investigate their performance using the computational fluid dynamics (CFD) approach.This research presents a comprehensive numerical investigation into the thermal-flow characteristics of heat sinks featuring lattice structures and pin fins.The primary objective is to enhance the efficiency of thermal management systems crucial for various engineering applications, including electronic equipment.Specifically, our focus extends to high-temperature systems such as those in aerospace and aeronautics.Triply periodic minimal surfaces (TPMS) have demonstrated superior mechanical performance, mass transfer, and thermal conductivity compared to traditional structures employed across various fields.Despite this, there has been limited research into using TPMS in microchannel heat sinks [3].In this study, using COMSOL Multiphysics software, various heat sinks with different lattice structures and their integration via pin-fins are compared with conventional pin-fin heat sinks.This heat sink consists of a rectangular cooling channel with architected structures heated with constant heat flux.Different parameters, including Reynolds number, coolant type, geometric configurations of lattice structures, and pin-fin arrangements, are investigated to examine their effects on heat transfer enhancement, flow behavior, and pressure drop.The results revealed that TPMS characteristics such as porosity, wall thickness, and unit size notably affect the flow patterns and heat transfer behavior.Moreover, a comparative analysis between TPMS and conventional heat sinks highlighted that most TPMS configurations exhibit superior thermal efficiency compared to traditional methods while imposing a moderate increase in pressure drop.TPMS structures disrupt the flow patterns, promoting turbulence and enhancing convective heat transfer rates.Furthermore, optimizing geometric parameters like lattice cell size, pin-fin height, and density maximized thermal performance while minimizing pressure drop.Overall, the study demonstrated the capability of additive manufacturing in building complex geometries, which can improve thermal management systems across various industries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".