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

被引:9
|
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] A short numerical study on the optimization methods influence on topology optimization
    Rojas-Labanda, Susana
    Sigmund, Ole
    Stolpe, Mathias
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2017, 56 (06) : 1603 - 1612
  • [42] A short numerical study on the optimization methods influence on topology optimization
    Susana Rojas-Labanda
    Ole Sigmund
    Mathias Stolpe
    Structural and Multidisciplinary Optimization, 2017, 56 : 1603 - 1612
  • [43] Topology Optimization for Additive Manufacturing - A Numerical Study of Current Design Framework Capabilities and Limitations
    Mansour, Rami
    Gillgren, Sara
    Dadbakhsh, Sasan
    SPS 2022, 2022, 21 : 592 - 603
  • [44] Acoustic sharp-edge-based micromixer: a numerical study
    Zahra Ghorbani Kharaji
    Vali Kalantar
    Morteza Bayareh
    Chemical Papers, 2022, 76 : 1721 - 1738
  • [45] Numerical and experimental investigation on topology optimization of an elongated dynamic system
    Lopes, Heitor Nigro
    Cunha, Daniel Candeloro
    Pavanello, Renato
    Mahfoud, Jarir
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 165
  • [46] Micromixer structure design based on Koch fractal principle and baffle distribution on the lower surface
    Tian, Yue
    Chen, Xueye
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2021, 43 (04)
  • [47] Micromixer structure design based on Koch fractal principle and baffle distribution on the lower surface
    Yue Tian
    Xueye Chen
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2021, 43
  • [48] Topology optimization and 3D printing of micro-drone: Numerical design with experimental testing
    Yap, Yee Ling
    Toh, William
    Giam, Anthoni
    Yong, Feng Rong
    Chan, Keen Ian
    Tay, Justin Wei Sheng
    Teong, Soo Soon
    Lin, Rongming
    Ng, Teng Yong
    INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2023, 237
  • [49] Optimization of Engine Valve Parameters Based on Experimental Design and Response Surface Methodology
    Zhang Y.
    Wei S.
    Xu C.
    Journal of Engineering Science and Technology Review, 2022, 15 (06) : 97 - 106
  • [50] Numerical study of flow characteristics and heat transfer mechanism in Tesla valve tube
    Huang, Feiya
    Ren, Liancheng
    Xie, Shuai
    Leng, Minhan
    Liao, Ping
    RESULTS IN ENGINEERING, 2024, 21