Computational Study of Atomization Models and Optimal Design of a Pressurized Inhaler

2021 ◽  
Vol 50 ◽  
pp. 123-134
Author(s):  
Anurag Tiwari ◽  
Siddharth Sharma ◽  
Vivek Kumar Srivastav ◽  
Anuj Jain ◽  
Akshoy Ranjan Paul
Keyword(s):  
Drug Delivery ◽  
Particle Production ◽  
Computational Study ◽  
Nozzle Diameter ◽  
Inhalation Therapy ◽  
Respiratory Drug Delivery ◽  
Minimum Diameter ◽  
Inhaler Device ◽  
Swirl Atomizer ◽  
Pressure Swirl

Respiratory drug delivery has been under the spotlight of research for the past few decades, mainly due to rapid increase of pulmonary diseases. This type of drug delivery offers the highest efficiency for treatment. Despite its numerous benefits, there are some drawbacks in the method of respiratory drug delivery-the most important being poor delivery efficiency and high drug deposition in undesirable regions, such as the oropharynx. This study is focused on improving pressurized inhaler device, which is one of the most used devices for inhalation therapy throughout the world using the results and findings obtained from numerical analysis. In this study, three atomizer models are investigated and found that pressure swirl atomizer model closely represents the atomization phenomenon from a pressurized inhaler device. Parametric study is carried out using three parameters: nozzle diameter, dispersion angle and sheet constant to optimize the performance of the device. It is revealed that a reduction in nozzle diameter and dispersion angle help in generating fine (smaller diameter) particles, whereas increase in sheet constant is responsible for fine particle production. The values of nozzle diameter, dispersion angle and sheet constant are tuned to get the particles with minimum diameter as output which is desirable for the drug particles to get deposited in the smaller airways of lungs and increase the efficiency of drug delivery and improve the device performance.

INTERNAL AND NEAR-NOZZLE FLOW OF A PRESSURE-SWIRL ATOMIZER UNDER VARIED FUEL TEMPERATURE

2007 ◽  
Vol 17 (6) ◽  
pp. 529-550 ◽  
Author(s):  
Seoksu Moon ◽  
Choongsik Bae ◽  
Essam F. Abo-Serie ◽  
Jaejoon Choi
Keyword(s):  
Nozzle Flow ◽  
Fuel Temperature ◽  
Swirl Atomizer ◽  
Pressure Swirl ◽  
Pressure Swirl Atomizer

Study of pressure swirl atomizer with tangential input at design point and outside of design point

2020 ◽  
Vol 32 (12) ◽  
pp. 127113
Author(s):  
Kiumars Khani Aminjan ◽  
Balaram Kundu ◽  
D. D. Ganji
Keyword(s):  
Design Point ◽  
Swirl Atomizer ◽  
Pressure Swirl ◽  
Pressure Swirl Atomizer

Studies on air core size in a simplex pressure-swirl atomizer

2017 ◽  
Vol 42 (29) ◽  
pp. 18649-18657 ◽  
Author(s):  
Zhilin Liu ◽  
Yong Huang ◽  
Lei Sun
Keyword(s):  
Core Size ◽  
Air Core ◽  
Swirl Atomizer ◽  
Pressure Swirl ◽  
Pressure Swirl Atomizer

A Numerical Approach for the Simulation of Internal Nozzle Flow in a Pressure Swirl Atomizer Using Different Turbulent Models and Towards an Effective Inlet Weber Number

2013 ◽  
Author(s):  
Ahmadreza Abbasi Baharanchi ◽  
Seckin Gokaltun ◽  
Shahla Eshraghi
Keyword(s):  
Weber Number ◽  
Computational Cost ◽  
Internal Flow ◽  
Numerical Approach ◽  
Reynolds Stress Model ◽  
Multiphase Model ◽  
Vof Model ◽  
Swirl Atomizer ◽  
Pressure Swirl ◽  
Pressure Swirl Atomizer

VOF Multiphase model is used to simulate the flow inside a pressure-swirl-atomizer. The capability of the Reynolds Stress Model and variants of the K-ε and K-ω models in modeling of turbulence has been investigated in the commercial computational fluid dynamics (CFD) software FLUENT 6.3. The Implicit scheme available in the volume-of-fluid (VOF) model is used to calculate the interface representation between phases. The atomization characteristics have been investigated as well as the influence of the inlet swirl strength of the internal flow. The numerical results have been successfully validated against experimental data available for the computed parameters. The performance of the RNG K-ε model was found to be satisfactory in reducing the computational cost and introducing an effective Weber number for the flow simulated in this study.

Computational Study of DNA-Cross-Linked Hydrogel Formation for Drug Delivery Applications

2018 ◽  
Vol 51 (23) ◽  
pp. 9758-9768 ◽  
Author(s):  
Kye Won Wang ◽  
Tania Betancourt ◽  
Carol K. Hall
Keyword(s):  
Drug Delivery ◽  
Computational Study ◽  
Hydrogel Formation ◽  
Drug Delivery Applications

Computational Study of Adsorption Effects of Karanjin Drug Over Carbon Nanotube (C56H16) as Factor of Drug Delivery System — A Quantum Chemical Approach

NANO ◽  
2021 ◽  
pp. 2150106
Author(s):  
Anoop Kumar Pandey ◽  
Vijay Singh ◽  
Apoorva Dwivedi
Keyword(s):  
Drug Delivery ◽  
Carbon Nanotube ◽  
Gas Phase ◽  
Drug Delivery System ◽  
Delivery System ◽  
Quantum Chemical ◽  
Density Functional ◽  
Computational Study ◽  
Chemical Hardness ◽  
Adsorption Effect

Karanjin, phytochemical from Pongamia pinnata is reported to be effective against HIV that causes AIDS in humans, however, the delivery of this therapeutic molecule still needs improvement. Hence, this study provides a better understanding of the nonbonded interaction between an anti-HIV drug karanjin and carbon nanotube (CNT) (C56H16). The electronic structure and interaction properties of the molecule karanjin over the surface of CNT were theoretically studied in the gas phase by DFT/B3LYP/6-31G ([Formula: see text]) level of theory for the first time. The UV–Vis spectra and transitions of the karanjin drug, CNT (C56H16) and complex CNT (C-56)/karanjin in gas phase have been calculated by time-dependent density functional theory (TDDFT) for the investigation of adsorption effect. To support our hypothesis, we have performed quantum chemical analysis for CNT (C56H16)/karanjin in water and DMSO solvent. In this process, this CNT (C-56)/karanjin complex enters into affected cell in liquid medium. After that, the drug delivery system CNT (C-56) unloads karanjin at the affected site. The binding character interactive species have been determined by NBO and AIM analysis. The frontier orbital HOMO–LUMO gap, chemical softness, chemical hardness have also been calculated to understand its complete chemical properties. The outcomes from our interaction of drug karanjin with CNT (C56H16) will be instrumental for better drug delivery potential in the upcoming future.

Sign in / Sign up

Export Citation Format

Share Document