Showing posts with label dispersion coefficient. Show all posts
Showing posts with label dispersion coefficient. Show all posts

Wednesday, 12 March 2025

Analysis of MHD on Convective Mass Transfer in Annular Flow: Catheter-Based Drug Delivery Systems | Chapter 6 | Mathematics and Computer Science: Contemporary Developments Vol. 10

A catheter is a tube that can be inserted into a body cavity, duct, or vessel. It is a thin, flexible tube. A catheter left inside the body either temporarily or permanently is referred to as an indwelling catheter. In the present study, convective diffusive mass transfer is considered, along with the effects of particle drag under the influence of a magnetic field concerning drug delivery in the presence of the catheter. A concentric annular region is created by the presence of a catheter, and the effects of which on mass transfer are considered. A model of the hydrodynamics of the fluid, blood flow, and convective diffusive mass transfer of the species is presented. Here, an attempt is made to analyze a drug delivery method for delivering a drug to a specific site in the body and for this analysis, considered a channel bounded by the tissue region where the drug is targeted. The magnetic field induces pulsatile flow, which affects the mass transfer. The graphs predict that the mass transfer increases from the lumen region to the tissue region. Peclet number and magnetic parameter are the parameters that significantly affect carrying drugs towards the tissue. The results are well agreed with the physical phenomena of the problem as well as many biomedical applications. The study concluded that the diffusion coefficient increases with an increase in permeability due to enhancement in convection of fluid towards the wall thereby increasing absorption. Peclet number and magnetic field influence diffusion significantly. The effect of an increase in a magnetic field is to create pulsatile motion.

 

Author (s) Details

 

Punith Kumar Deshapande
Department of Mathematics, SoAS, REVA University, Bangalore-560064, Karnataka, India.

 

Indira Rama Rao
Department of Mathematics, Nitte Meenakshi Institute of Technology, Bangalore-560064, Karnataka, India.

 

Sravan Kumar Thavada
Department of Mathematics, SoAS, REVA University, Bangalore-560064, Karnataka, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mcscd/v10/2890

Monday, 16 October 2023

Dispersion Models for Waste Stabilization Pond: A Comparative Analysis | Chapter 6 | Advances and Challenges in Science and Technology Vol. 7

 Dispersion number (d) is ultimate basic determinant of measurement in hydraulic shaping of pollution in waste counterweight ponds and its veracity is important to measure the characteristic practice of pollutants in the puddle. Tracer experiments were performed in a workshop channel to determine aggregation of solute and dispersal number for different flows through the channel. Two forms of sample collection were selected: (1) constant-opportunity-variable-distance and (2) neverending-distance-variable–occasion apperoches. Five dispersion models secondhand in the determination of dispersal number in waste stabilization ponds that is to say Levenspiel and smith [1], Liu [2], Polprasert and Bhatarai, Taylor [3] and Agunwamba and Uneke [4] were used to decide the phenomena and distinguished. Model calculations demonstrated that Liu’s model is closest to that of Levenspiel and Smith that is used as standard for tracer aggregation measurement dispersal number in ponds. Lui’s model may before be used for design of new ponds. Agunwamba’s model trails after Liu’s in nearness but overestimates peak aggregation by about 3 times the calculated. It is however better than Levenspiels on account of it is time conditional and cost effective. Unlike Liu’s model, Agunwamba’s model cannot be secondhand in design of new ponds.

Author(s) Details:

Uneke A. Louis,
Department of Civil Engineering Technology, Kenule Beeson Saro Wiwa Polytechnic, Bori, Rivers State, Nigeria.

Akpan P. Paul,
Department of Civil and Environmental Engineering Technology, Federal University of Technology, Ikot Abasi, Akwa, Ibom State, Nigeria.

Nwikina B. Bariene,
Department of Civil Engineering Technology, Kenule Beeson Saro Wiwa Polytechnic, Bori, Rivers State, Nigeria.

Kanee Sorbari,
Department of Mechanical Engineering Technology, Kenule Beeson Saro Wiwa Polytechnic, Bori, Rivers State, Nigeria.

Oba L. Achemie,
Department of Civil Engineering, Rivers State University, Nkpolu, Rivers State, Nigeria.

Abednego G. T. George,
Department of Civil Engineering Technology, Kenule Beeson Saro Wiwa Polytechnic, Bori, Rivers State, Nigeria.

Anea-Bari D. Burabe,
Department of Surveying, Kenule Beeson Saro Wiwa Polytechnic, Bori, Rivers State, Nigeria.

Letam P. Leelee,
Department of Civil Engineering Technology, Kenule Beeson Saro Wiwa Polytechnic, Bori, Rivers State, Nigeria.

Please see the link here: https://stm.bookpi.org/ACST-V7/article/view/12203