已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Optimization and thermal characterization of a new liquid-cooled plate with branching channels of fractal geometry

分形 支化(高分子化学) 热的 几何学 表征(材料科学) 材料科学 机械 数学 热力学 物理 数学分析 复合材料 纳米技术
作者
Furen Zhang,Yuanbing Tao,Yanxiao He,Shuaishuai Qiu
出处
期刊:Applied Thermal Engineering [Elsevier]
卷期号:254: 123881-123881 被引量:8
标识
DOI:10.1016/j.applthermaleng.2024.123881
摘要

In order to improve the heat transfer effect of the liquid-cooled plate with the traditional straight channel, 24 new liquid-cooled structures were obtained based on the fractal concept by adding 6 geometrically structured branch channels to the traditional straight channel and adding different forms of secondary channels between the branch channels and between the branch channels and the main channel. On the basis of establishing a numerical simulation model and verifying the accuracy of the model, the thermal characteristics of 24 liquid-cooled structures were analysed by computational fluid dynamics (CFD) simulation, and the initial relative optimal liquid-cooled channel structure was obtained by taking the comprehensive thermal performance as the evaluation index. Then, the initial relative optimal channel structure parameters were optimised in steps using NSGA-II and grey correlation analysis algorithms. In order to further improve the heat transfer effect of the liquid-cooled plate, the relative optimal model after stepwise optimization was arced. The final results showed a decrease in the average temperature by 0.57 °C (1.6 %), an increase in the heat transfer coefficient by 356 W m−2 k−1 (21.3 %), and a decrease in the pressure drop by 34.55 Pa (50.2 %), as compared with the initial model. This study will provide some reference for the optimisation of the internal structural features of the channel and the improvement of the thermal performance of the liquid-cooled plate.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
无花果应助范佳宁采纳,获得10
1秒前
无名应助科研通管家采纳,获得10
1秒前
2秒前
古德猫宁完成签到,获得积分10
2秒前
咯咚发布了新的文献求助10
2秒前
3秒前
ppsweek发布了新的文献求助10
3秒前
呼斯冷发布了新的文献求助10
5秒前
5秒前
6秒前
7秒前
7秒前
shanyuyulai发布了新的文献求助10
7秒前
xx完成签到,获得积分10
8秒前
8秒前
9秒前
9秒前
Rollin发布了新的文献求助10
10秒前
11秒前
jike发布了新的文献求助10
11秒前
窦逗豆完成签到,获得积分10
11秒前
13秒前
加油发布了新的文献求助10
13秒前
搜集达人应助Wdw2236采纳,获得10
13秒前
时光发布了新的文献求助10
13秒前
泷云完成签到,获得积分10
15秒前
15秒前
17秒前
17秒前
17秒前
DDDDai完成签到 ,获得积分10
17秒前
18秒前
elio0113发布了新的文献求助10
18秒前
善学以致用应助xxdn采纳,获得10
19秒前
nusiew发布了新的文献求助10
20秒前
20秒前
隐形曼青应助呆萌的奎采纳,获得10
20秒前
AN应助小明采纳,获得10
21秒前
22秒前
彭于晏应助haha采纳,获得10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Aerospace Engineering Education During the First Century of Flight 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
sQUIZ your knowledge: Multiple progressive erythematous plaques and nodules in an elderly man 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5771589
求助须知:如何正确求助?哪些是违规求助? 5592681
关于积分的说明 15427933
捐赠科研通 4904901
什么是DOI,文献DOI怎么找? 2639075
邀请新用户注册赠送积分活动 1586878
关于科研通互助平台的介绍 1541879