CFD Analysis of Thermal Shadowing and Optimization of Heatsinks in 3rd Generation Open Compute Server for Single-Phase Immersion Cooling

散热片 数据中心 服务器 相变材料 热能储存 热的 被动冷却 计算机冷却 材料科学 核工程 机械工程 计算机科学 环境科学 模拟 工程类 热力学 电子设备和系统的热管理 物理 操作系统
作者
Jimil M. Shah,Ravya Dandamudi,Chinmay Bhatt,Pranavi Rachamreddy,Pratik Bansode,Dereje Agonafer
标识
DOI:10.1115/ipack2019-6600
摘要

Abstract In today’s networking world, utilization of servers and data centers has been increasing significantly. Increasing demand of processing and storage of data causes a corresponding increase in power density of servers. The data center energy efficiency largely depends on thermal management of servers. Currently, air cooling is the most widely used thermal management technology in data centers. However, air cooling has started to reach its limits due to high-powered processors. To overcome these limitations of air cooling in data centers, liquid immersion cooling methods using different dielectric fluids can be a viable option. Thermal shadowing is an effect in which temperature of a cooling medium increases by carrying heat from one source and results in decreasing its heat carrying capacity due to reduction in the temperature difference between the maximum junction temperature of successive heat sink and incoming fluid. Thermal Shadowing is a challenge for both air and low velocity oil flow cooling. In this study, the impact of thermal shadowing in a third-generation open compute server using different dielectric fluids is compared. The heat sink is a critical part for cooling effectiveness at server level. This work also provides an efficient range of heat sinks with computational modelling of third generation open compute server. Optimization of heat sink can allow to cool high-power density servers effectively for single-phase immersion cooling applications. A parametric study is conducted, and significant savings in the volume of a heat sink have been reported.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
wanci应助戴路采纳,获得10
1秒前
1秒前
大模型应助科研通管家采纳,获得10
2秒前
量子星尘发布了新的文献求助10
2秒前
SciGPT应助科研通管家采纳,获得10
2秒前
小杭76应助科研通管家采纳,获得10
2秒前
ZOE应助科研通管家采纳,获得150
2秒前
小杭76应助科研通管家采纳,获得10
2秒前
英姑应助科研通管家采纳,获得10
2秒前
科研通AI6应助科研通管家采纳,获得10
2秒前
what_cat应助科研通管家采纳,获得10
2秒前
CipherSage应助科研通管家采纳,获得10
2秒前
小杭76应助科研通管家采纳,获得10
2秒前
浮游应助科研通管家采纳,获得10
2秒前
慕青应助科研通管家采纳,获得10
3秒前
小杭76应助科研通管家采纳,获得10
3秒前
3秒前
悠悠应助科研通管家采纳,获得10
3秒前
小杭76应助科研通管家采纳,获得10
3秒前
浮游应助科研通管家采纳,获得10
3秒前
3秒前
善良飞丹完成签到,获得积分10
4秒前
4秒前
4秒前
Ash关闭了Ash文献求助
4秒前
深情安青应助敏感的曼香采纳,获得10
4秒前
迷路藏今完成签到,获得积分20
5秒前
6秒前
6秒前
111发布了新的文献求助10
6秒前
迷昏桃完成签到,获得积分10
7秒前
orixero应助保护番茄采纳,获得10
7秒前
浮游应助lf采纳,获得10
7秒前
8秒前
思源应助慧慧采纳,获得10
8秒前
王小可完成签到,获得积分10
8秒前
8秒前
皛宁发布了新的文献求助10
9秒前
GarrickO完成签到,获得积分10
9秒前
一朵小黑花完成签到,获得积分10
11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
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
Item Response Theory 1000
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 921
Identifying dimensions of interest to support learning in disengaged students: the MINE project 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5429055
求助须知:如何正确求助?哪些是违规求助? 4542625
关于积分的说明 14181735
捐赠科研通 4460343
什么是DOI,文献DOI怎么找? 2445678
邀请新用户注册赠送积分活动 1436859
关于科研通互助平台的介绍 1414080