Numerical modeling and optimization of respirational emergency drug delivery device using computational fluid dynamics and response surface method

被引：0

作者：

Yousefi M. ^{[1
,2
]}

Safikhani H. ^{[1
]}

Jabbari E. ^{[1
]}

Tahmasbi V. ^{[3
]}

机构：

[1] Department of Mechanical Engineering, Faculty of Engineering, Arak University, Arak

[2] School of Engineering, RMIT University, Melbourne

[3] Mechanical Engineering Faculty, Arak University of Technology, Arak

来源：

International Journal of Engineering, Transactions B: Applications | 2021年 / 34卷 / 02期

关键词：

Computational Fluid Dynamics; Drug Delivery Device; Endotracheal Tube; Optimization; Respirational Patients; Response Surface Method;

D O I：

10.5829/IJE.2021.34.02B.28

中图分类号：

学科分类号：

摘要：

Studies have shown that most of the particles sprayed on emergency respirational patients, accumulate inside the endotracheal tube and its connector. In this paper, applying Computational Fluid Dynamics (CFD) and Response Surface Method (RSM), an optimized geometry is introduced for higher efficiency of the drug delivery for patients with emergency respiratory diseases. In CFD modeling, finite volume method and for two-phase flow modeling, Lagrangian method is used. Reynolds averaged Navier–Stokes equations with Reynolds stress turbulence model are solved using SIMPLE pressure correction algorithm within the computational domain. The velocity fluctuations are simulated using the Discrete Random Walk (DRW). For optimization process, six different parameters including three dimensions of the connector of the tube: connector length, connector diameter and injection diameter, injection velocity of the drug particles, air flow velocity and particle size are investigated. Using Design of Experiments (DOE) and RSM, the output efficiency of the model and second-order regression equation model are derived and accuracy of the model is confirmed. Then the effect of each input parameter on the efficiency is investigated. Dringer algorithm is applied to optimize the process and the best combination of input parameters yielding the highest efficiency is introduced. © 2021 Materials and Energy Research Center. All rights reserved.

引用

页码：547 / 555

页数：8

共 50 条

[21] Modeling and Optimization of Tensile Strength of Arrowroot Bioplastic Using Response Surface Method [J].

Hendrawan, Y. ;

Putranto, A. W. ;

Fauziah, T. R. ;

Argo, B. D. .

INTERNATIONAL CONFERENCE OF SUSTAINABILITY AGRICULTURE AND BIOSYSTEM, 2020, 515

[22] Numerical Simulation and Experiment of Dust Suppression Device of Peanut Whole-Feed Combine Using Computational Fluid Dynamics [J].

Xu, Hongbo ;

Zhang, Peng ;

Gu, Fengwei ;

Hu, Zhichao ;

Yang, Hongguang ;

Mao, Enrong ;

Du, Yuefeng .

AGRICULTURE-BASEL, 2023, 13 (02)

[23] Swirl brakes optimization for rotordynamic performance improvement of labyrinth seals using computational fluid dynamics method [J].

Zhang, Wanfu ;

Wu, Kexin ;

Gu, Chengjing ;

Tian, Haoyang ;

Zhang, Xiaobin ;

Li, Chun .

TRIBOLOGY INTERNATIONAL, 2021, 159

[24] Computational fluid dynamics (CFD) modeling of heat transfer in a polymeric membrane using finite volume method [J].

Muhammad Ahsan ;

Arshad Hussain .

Journal of Thermal Science, 2016, 25 :564-570

[25] Computational Fluid Dynamics(CFD) Modeling of Heat Transfer in a Polymeric Membrane using Finite Volume Method [J].

Muhammad Ahsan ;

Arshad Hussain .

JournalofThermalScience, 2016, 25 (06) :564-570

[26] A computational fluid dynamics (CFD) approach for the modeling of flux in a polymeric membrane using finite volume method [J].

Ahsan, Muhammad ;

Hussain, Arshad .

MECHANICS & INDUSTRY, 2017, 18 (04)

[27] Application of computational fluid dynamics and response surface methodology in downdraft gasification using multiple biomass pellets [J].

Ngamsidhiphongsa, Nathada ;

Limleamthong, Phantisa ;

Chalermsinsuwan, Benjapon ;

Prasertcharoensuk, Phuet ;

Wiyaratn, Wisitsree ;

Arpornwichanop, Amornchai .

JOURNAL OF CLEANER PRODUCTION, 2023, 417

[28] Optimization and Scale-Up of Oligonucleotide Synthesis in Packed Bed Reactors Using Computational Fluid Dynamics Modeling [J].

Wolfrum, Christian ;

Josten, Andre ;

Goetz, Peter .

BIOTECHNOLOGY PROGRESS, 2014, 30 (05) :1048-1056

[29] Parameter optimization for the oxidative coupling of methane in a fixed bed reactor by combination of response surface methodology and computational fluid dynamics [J].

Eppinger, T. ;

Wehinger, G. ;

Kraume, M. .

CHEMICAL ENGINEERING RESEARCH & DESIGN, 2014, 92 (09) :1693-1703

[30] Automatic optimization of centrifugal pump for energy conservation and efficiency enhancement based on response surface methodology and computational fluid dynamics [J].

Wang, Chuan ;

Yao, Yulong ;

Yang, Yang ;

Chen, Xionghuan ;

Wang, Hui ;

Ge, Jie ;

Cao, Weidong ;

Zhang, Qiqi .

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2023, 17 (01)

← 1 2 3 4 5 →