A novel topology optimization of fin structure in shell-tube phase change accumulator considering the double objective functions and natural convection

自然对流 累加器(密码学) 拓扑优化 拓扑(电路) 液压蓄能器 相变材料 热的 数学优化 数学 计算机科学 材料科学 机械工程 对流 机械 热力学 工程类 算法 物理 组合数学 有限元法
作者
Yu Chen,Yun Liu,Liang Zeng,Wenxun Cui,Jianfei Xie
出处
期刊:Journal of energy storage [Elsevier BV]
卷期号:80: 110327-110327 被引量:5
标识
DOI:10.1016/j.est.2023.110327
摘要

Shell-tube phase change accumulator (STPCA) has been widely applied in renewable energy generation and energy-saving building field. However, due to the low thermal conductivity of phase change material (PCM), its structure needs to be carefully designed to obtain the best heat release and storage rate. Most of the traditional design schemes are trial and error method, which has long design cycle, low efficiency, and difficulty in obtaining the optimal structure. In this contribution, we firstly adopt the topology optimization methods to obtain novel fins in STPCA considering natural convection. Then, we compared the difference between different objective functions and demonstrated the superiority of topology optimization. In addition, we have further studied fin design under double objective functions with different weight ratios and analyzed the synergistic effects on the objective functions. The results have shown that after natural convection has been considered in the topological optimization process, it can help obtain a better structure, and the generated fins can better enhance the performance of STPCA. For the case of single objective function, the conclusions are as follows: the maximum average temperature can be used to obtain the faster melting speed, while the minimum temperature difference can be used to obtain the best temperature uniformity. The conclusions of using double objective function are as follows: when the weight ratio of the maximum average temperature and the minimum temperature difference is 0.6: 0.4, the field synergy angle is smallest, and the performance of STPCA is further improved. This contribution can provide a guidance for STPCA design and enhance its thermal storage performance.
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
朱洛尘完成签到,获得积分10
1秒前
吴昊东完成签到,获得积分10
1秒前
丘比特应助昵称231采纳,获得10
1秒前
魁梧的莹芝完成签到,获得积分10
1秒前
噼里啪啦发布了新的文献求助10
2秒前
车间我发布了新的文献求助10
2秒前
华仔应助简单的烤鸡采纳,获得10
2秒前
量子星尘发布了新的文献求助10
3秒前
4秒前
Criminology34应助长村采纳,获得10
4秒前
wanci应助芦木成鱼采纳,获得10
4秒前
vain完成签到,获得积分10
4秒前
5秒前
豹子头零充完成签到,获得积分10
5秒前
开朗眼神发布了新的文献求助10
5秒前
浮游应助研友_LMBAXn采纳,获得10
5秒前
zzz完成签到,获得积分20
6秒前
善学以致用应助赵梦娜采纳,获得10
6秒前
郁盈完成签到,获得积分10
6秒前
如意要科研关注了科研通微信公众号
7秒前
11完成签到 ,获得积分10
9秒前
开朗雪糕发布了新的文献求助10
10秒前
开朗眼神完成签到,获得积分10
10秒前
善学以致用应助噼里啪啦采纳,获得10
10秒前
科研通AI6应助ccc采纳,获得10
11秒前
11秒前
科研通AI5应助nanxing采纳,获得10
11秒前
Flipped发布了新的文献求助150
13秒前
打打应助月儿采纳,获得10
13秒前
lins发布了新的文献求助20
13秒前
14秒前
冷艳的寒天完成签到,获得积分10
14秒前
舒适行云发布了新的文献求助10
14秒前
Doc.Wang完成签到,获得积分10
15秒前
16秒前
16秒前
16秒前
16秒前
勤奋的水杯完成签到,获得积分10
18秒前
1000x发布了新的文献求助30
18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
Einführung in die Rechtsphilosophie und Rechtstheorie der Gegenwart 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
Reflections of female probation practitioners: navigating the challenges of working with male offenders 500
Probation staff reflective practice: can it impact on outcomes for clients with personality difficulties? 500
PRINCIPLES OF BEHAVIORAL ECONOMICS Microeconomics & Human Behavior 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5028518
求助须知:如何正确求助?哪些是违规求助? 4264413
关于积分的说明 13293536
捐赠科研通 4072477
什么是DOI,文献DOI怎么找? 2227478
邀请新用户注册赠送积分活动 1235941
关于科研通互助平台的介绍 1160226