A MATLAB topology optimization code to control the trajectory of particle in fluid

被引:4
作者
Choi, Young Hun [1 ]
Yoon, Gil Ho [1 ]
机构
[1] Hanyang Univ, Sch Mech Engn, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Topology optimization; MATLAB; Particle separation; Particle-fluid interaction; DESIGN; FLOW;
D O I
10.1007/s00158-023-03538-4
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents an educational code for topology optimization controlling the trajectory of particle in steady-state laminar fluid. To control the trajectory of particle, fluid motion is optimized by the fluid topology optimization. The one-way forward analysis between fluid and particle and the adjoint sensitivity analysis are formulated and implemented in the framework of MATLAB. The Navier-Stokes equation is solved by the finite element method with Newton-Raphson iteration and Newton's equation for the analysis of transient particle motion is solved by the Newmark scheme. In the present paper, the educational code is attached in the supplementary material. Throughout the code, the optimization problems considering particle trajectory can be solved. The code consists of the finite element analysis of a fluid, transient analysis of a particle suspended in fluid, and computation of the adjoint sensitivity analysis. This code can be easily expanded for complex particle fluid problems. Several benchmark problems are presented that control the velocity and position of a particle and separate multiple particles suspended in a fluid.
引用
收藏
页数:18
相关论文
共 37 条
[11]  
Donea J., 2003, Finite element methods for flow problems, DOI 10.1002/0470013826
[12]   Topology optimization of channel flow problems [J].
Gersborg-Hansen, A ;
Sigmund, O ;
Haber, RB .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2005, 30 (03) :181-192
[13]   Direct Numerical Simulation of Particle-Fluid Interactions: A review [J].
Hashemi, Zahra ;
Abouali, Omid ;
Ahmadi, Goodarz .
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF MECHANICAL ENGINEERING, 2017, 41 (01) :71-89
[14]   Direct measurement of particle inertial migration in rectangular microchannels [J].
Hood, Kaitlyn ;
Kahkeshani, Soroush ;
Di Carlo, Dino ;
Roper, Marcus .
LAB ON A CHIP, 2016, 16 (15) :2840-2850
[15]  
Hu H. H., 1992, Theoretical and Computational Fluid Dynamics, V3, P285, DOI 10.1007/BF00717645
[16]   Drag and lift forces on a spherical particle moving on a wall in a shear flow at finite Re [J].
Lee, Hyungoo ;
Balachandar, S. .
JOURNAL OF FLUID MECHANICS, 2010, 657 :89-125
[17]   Mathematical modeling and computational analysis of centrifugal microfluidic platforms: a review [J].
Madadelahi, Masoud ;
Acosta-Soto, Luis F. ;
Hosseini, Samira ;
Martinez-Chapa, Sergio O. ;
Madou, Marc J. .
LAB ON A CHIP, 2020, 20 (08) :1318-1357
[18]   Topology optimization of multi-component flows using a multi-relaxation time lattice Boltzmann method [J].
Makhija, David ;
Pingen, Georg ;
Yang, Ronggui ;
Maute, Kurt .
COMPUTERS & FLUIDS, 2012, 67 :104-114
[19]  
Papoutsis-Kiachagias E, 2011, Evolutionary and Deterministic Methods for Design, Optimization and Control
[20]   Continuous Adjoint Methods for Turbulent Flows, Applied to Shape and Topology Optimization: Industrial Applications [J].
Papoutsis-Kiachagias, E. M. ;
Giannakoglou, K. C. .
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2016, 23 (02) :255-299