Topology optimization design of micromixer based on principle of Tesla valve: An experimental and numerical study

被引:11
作者
Xiong, Min [1 ]
Yang, Jiandong [1 ]
Ding, Xiaohong [1 ]
Li, Hao [2 ]
Zhang, Heng [1 ]
机构
[1] Univ Shanghai Sci & Technol, Dept Mech Engn, Shanghai 200093, Peoples R China
[2] Kyoto Univ, Grad Sch Engn, Dept Mech Engn & Sci, Kyoto 6158540, Japan
基金
中国国家自然科学基金;
关键词
Micromixer; Topology optimization; Non-newtonian fluid; Microfluidics; Experimental verification; MIXING ENHANCEMENT; MIXER; FLOW;
D O I
10.1016/j.cep.2023.109560
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Micromixers are known to be an important part of the integrated microfluidic system, but how to improve its mixing performance at low Reynolds number has always been a difficult problem to be solved. In this study, topology optimization is carried out to reach better mixing performance for micromixers based on the principle of Tesla valve. Firstly, the design model and optimization mathematical model are established for topology optimization problem. Then, the influences of different fluid characteristics are discussed. The optimal results from both the Newtonian fluid and non-Newtonian fluid are obtained by topology optimization method, and the simulation shows that the optimized structure by non-Newtonian fluid has better mixing index than that by Newtonian fluid. Next, different optimization objectives, including maximizing mixing index and maximizing power dissipation ratio are considered. The optimization and simulation results reveal that maximizing the power dissipation ratio can get excellent mixing efficiency. Finally, periodic micromixer is manufactured and the experiment is implemented. Viscosity matching experiment is conducted to obtain expected synthetic blood as non-Newtonian fluid reagent. The liquid mixing distribution and pressure drop of periodic micromixer by experiment indicate the feasibility of the proposed design method and the accuracy of the simulation.
引用
收藏
页数:12
相关论文
共 50 条
[41]   Topology-Optimization-Based EMC Design [J].
Nomura, Katsuya ;
Takahashi, Atsuhiro ;
Kojima, Takashi ;
Yamasaki, Shintaro ;
Yaji, Kentaro ;
Bo, Hiroki ;
Fujita, Kikuo .
2019 INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC EUROPE 2019), 2019, :933-937
[42]   Topology optimization in concrete construction: a systematic review on numerical and experimental investigations [J].
Nadine Stoiber ;
Benjamin Kromoser .
Structural and Multidisciplinary Optimization, 2021, 64 :1725-1749
[43]   Topology optimization for creating nonreciprocal compliant mechanisms: Numerical and experimental investigations [J].
Shobeiri, Vahid ;
Xie, Yi Min .
EXTREME MECHANICS LETTERS, 2025, 77
[44]   Topology optimization in concrete construction: a systematic review on numerical and experimental investigations [J].
Stoiber, Nadine ;
Kromoser, Benjamin .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2021, 64 (04) :1725-1749
[45]   Application research of a structural topology optimization method based on a bionic principle [J].
Zhong, Yuhai ;
Feng, Huashan ;
Wang, Runxiao .
ENGINEERING OPTIMIZATION, 2021, 53 (10) :1733-1751
[46]   Numerical study of mixing performance in T-junction passive micromixer with twisted design [J].
Najafpour, Ahmad ;
Hosseinzadeh, Khashayar ;
Akbari, Shahin ;
Mahboobtosi, Mehdi ;
Ranjbar, A. A. ;
Ganji, D. D. .
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2023, 194
[47]   Lightweight topology optimization with consideration of the fail-safe design principle for continuum structures [J].
Peng, Xirong ;
Sui, Yunkang .
ENGINEERING OPTIMIZATION, 2021, 53 (01) :32-48
[48]   Numerical study and topology optimization of vibration isolation support structures [J].
Zhao, Haojiang ;
Feng, Yang ;
Li, Wei ;
Xue, Chuang .
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2022, 228
[49]   Multi-Objective Optimization Design and Experimental Investigation for a Prismatic Lithium-Ion Battery Integrated with a Multi-Stage Tesla Valve-Based Cold Plate [J].
Fan, Yiwei ;
Wang, Zhaohui ;
Xiong, Xiao ;
Panchal, Satyam ;
Fraser, Roydon ;
Fowler, Michael .
PROCESSES, 2023, 11 (06)
[50]   Material Design with Topology Optimization Based on the Neural Network [J].
Li, Bin ;
Guo, Hongwei ;
Zhuang, Xiaoying .
INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2022, 19 (08)