Multi-objective optimization of a novel butterfly-wing vortex generator fabricated in a rectangular microchannel based on CFD and NSGA-II genetic algorithm

微通道 涡流发生器 田口方法 努塞尔数 计算流体力学 雷诺数 材料科学 水力直径 机械 涡流 数学 物理 湍流 复合材料
作者
Ananta Kumar Das,Somashekhar S. Hiremath
出处
期刊:Applied Thermal Engineering [Elsevier]
卷期号:234: 121187-121187 被引量:4
标识
DOI:10.1016/j.applthermaleng.2023.121187
摘要

A novel butterfly-wing vortex generator is fabricated inside the microchannel of 1 mm width (W), 0.63 mm height (H) and 50 mm length (L) by micro milling process using KERN EVO micro machining center. The Numerical model is validated by the experiments performed in the microchannel with the butterfly-wing of 0.36 mm bigger width (w), 0.18 mm smaller width (b), 0.2 mm wing height (h), 1 mm wing length (l), and a fixed number of wing (n) i.e., 5. Further, the numerical simulation is carried out to study the thermo-hydraulic performance and entropy-generation in the microchannel by employing Taguchi’s design of experiment. Thus, the L27 experimental design is formed by varying the input variables in 3 levels, i.e., w (0.24–0.48) mm, b (0.12–0.24) mm, h (0.2–0.5) mm, l (1–3) mm, and Reynolds number (Re) (142–544). A sensitivity analysis is performed to know the influence of each input parameter by calculating the signal-to-noise ratio for the friction factor (f), average Nusselt number (Nuavg), and total entropy-generation (SG), and the same is verified by the CFD simulation results. A multi-objective optimization is carried out to balance the trade-off between the increment of Nuavg and the decrement of f and SG. In this optimization study, the performance factor (Pf) and augmentation entropy-generation number (Ns,a) are considered as output responses because both the parameters explain the phenomenon of fluid flow, heat transfer and entropy-generation in the microchannel. Further, utilizing the simulation results, an empirical model is developed by response surface method for both the output responses. With the developed empirical model, the optimization is performed using NSGA-II to maximize the Pf and minimize the Ns,a. A decision-making technique, i.e., TOPSIS is used to get the best optimal solution from the acquired pareto-front. The optimal input parameters obtained from the TOPSIS are 0.48 mm (w), 0.12 mm (b), 1 mm (l), 0.38 mm (h) and 544 (Re) with the output responses of Pf = 1.35 andNs,a = 0.67.

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
xxhhhhhh发布了新的文献求助10
刚刚
量子星尘发布了新的文献求助30
刚刚
牛顿莱布尼兹完成签到,获得积分20
1秒前
欣喜的高烽完成签到 ,获得积分10
3秒前
George Will完成签到 ,获得积分10
3秒前
脑洞疼应助魂断红颜采纳,获得10
3秒前
量子星尘发布了新的文献求助10
3秒前
4秒前
VickyS发布了新的文献求助10
4秒前
6秒前
1234完成签到,获得积分20
6秒前
7秒前
7秒前
7秒前
木子完成签到,获得积分10
7秒前
点点点完成签到 ,获得积分10
8秒前
优美紫槐应助Yuanyuan采纳,获得10
9秒前
April发布了新的文献求助10
10秒前
guo发布了新的文献求助10
10秒前
科研aaa完成签到,获得积分10
11秒前
ZXH发布了新的文献求助10
11秒前
便当发布了新的文献求助20
12秒前
夏侯绮山发布了新的文献求助10
13秒前
ljact完成签到,获得积分0
13秒前
13秒前
Jimmy Ko完成签到,获得积分10
13秒前
平常的班完成签到,获得积分10
14秒前
路卡利欧发布了新的文献求助10
14秒前
14秒前
Jimmy Ko发布了新的文献求助10
16秒前
田田完成签到 ,获得积分10
16秒前
Lucas应助科研通管家采纳,获得10
17秒前
量子星尘发布了新的文献求助10
17秒前
Lucas应助科研通管家采纳,获得10
17秒前
烟花应助逍遥游采纳,获得10
17秒前
Hello应助科研通管家采纳,获得10
17秒前
小二郎应助科研通管家采纳,获得10
17秒前
完美世界应助科研通管家采纳,获得30
17秒前
Hello应助科研通管家采纳,获得10
17秒前
BowieHuang应助科研通管家采纳,获得10
17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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Russian Foreign Policy: Change and Continuity 800
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 5729235
求助须知:如何正确求助?哪些是违规求助? 5317147
关于积分的说明 15316199
捐赠科研通 4876228
什么是DOI,文献DOI怎么找? 2619311
邀请新用户注册赠送积分活动 1568858
关于科研通互助平台的介绍 1525365