Evidence map›Paper›PMID 38341477›Full record

ArticleScientific reports2024

Metaheuristic aided structural topology optimization method for heat sink design with low electromagnetic interference.

Musaddiq Al Ali, Masatoshi Shimoda, Brahim Benaissa, Masakazu Kobayashi, Tsunehiro Takeuchi, Ameer Al-Shawk, Sina Ranjbar

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Musaddiq Al AliDepartment of Advanced Science and Technology, Toyota Technological Institute, 2-12-1 Hisakata, Tenpaku-Ku, Nagoya, Aichi, 468-8511, Japan. alali@toyota-ti.ac.jp.
Masatoshi ShimodaDepartment of Advanced Science and Technology, Toyota Technological Institute, 2-12-1 Hisakata, Tenpaku-Ku, Nagoya, Aichi, 468-8511, Japan.
Brahim BenaissaDepartment of Advanced Science and Technology, Toyota Technological Institute, 2-12-1 Hisakata, Tenpaku-Ku, Nagoya, Aichi, 468-8511, Japan.
Masakazu KobayashiDepartment of Advanced Science and Technology, Toyota Technological Institute, 2-12-1 Hisakata, Tenpaku-Ku, Nagoya, Aichi, 468-8511, Japan.
Tsunehiro TakeuchiDepartment of Advanced Science and Technology, Toyota Technological Institute, 2-12-1 Hisakata, Tenpaku-Ku, Nagoya, Aichi, 468-8511, Japan.
Ameer Al-ShawkStellantis North America Headquarters, Auburn Hills, MI, 48326, USA.
Sina RanjbarIMEC, Kaprldreef 75, 3001, Heverlee, Belgium.

Funding

Japan Society for the Promotion of Science JP21K03757
6 · The paper itself

Abstract

This study investigates the application of the Metaheuristic Aided Structural Topology Optimization (MASTO) method as a novel approach to address the multiphysics design challenge of creating a heat sink with both high heat conductivity and minimal Electromagnetic Interference (EMI). A distinctive 2D layout with elongated fins is examined for electromagnetic traits, highlighting resonance-related EMI concerns. MASTO proves to be a valuable tool for navigating the complex design space, yielding thoughtfully optimized solutions that harmonize efficient heat dissipation with effective EMI control. By merging simulation findings with practical observations, this study underscores the potential of the MASTO method in achieving effective designs for intricate multiphysics optimization problems. Specifically, the method's capacity to address the complex interplay of heat transfer with convection and the suppression of electromagnetic emissions is showcased. Moreover, the study demonstrates the feasibility of translating these solutions into tangible outcomes through manufacturing processes.

Indexed as

Electromagnetic interferenceHeat sink designMASTO methodMultiphysics problemNon-parametric optimization

Identifiers

PMID38341477
PMCPMC11316020

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.