Performance Enhancement of the Micromixer by the Multiobjective Genetic Algorithm and Surrogate Model Based on a Navier–Stokes Analysis Using Trade-Off Objective Functions
Optimal structure of the micromixer with a two-layer serpentine crossing device was accomplished by a multiobjective genetic algorithm and surrogate modeling based on a Navier–Stokes analysis using the trade-off objective functions behavior. The optimization analysis was conducted with three design...
Main Authors: | Shakhawat Hossain, Farzana Islam, Nass Toufik Tayeb, Muhammad Aslam, Jin-Hyuk Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/9924849 |
Similar Items
-
Enhancement of Mixing Performance of Two-Layer Crossing Micromixer through Surrogate-Based Optimization
by: Shakhawat Hossain, et al.
Published: (2021-02-01) -
Kinematic Measurements of Novel Chaotic Micromixers to Enhance Mixing Performances at Low Reynolds Numbers: Comparative Study
by: Toufik Tayeb Naas, et al.
Published: (2021-03-01) -
Trade-off Design and Numerical Simulation of Micromixers
by: Jing-Ting DAI, et al.
Published: (2010) -
On the development of the Navier-Stokes equation by Navier
by: Sylvio R. Bistafa -
Naviers-Stokes equations with Navier boundary condition
by: Ghosh, Amrita
Published: (2018)