A novel model for effective diffusion coefficient in brain capillary

• Published in: Journal of mechanical science and technology Vol. 31; no. 6; pp. 3101 - 3106
• Main Authors: Alafzadeh, Mina, Shirani, Ebrahim, Yahaghi, Effat, Fatouraee, Nasser
• Format: Journal Article
• Language: English
• Published: Seoul Korean Society of Mechanical Engineers 01.06.2017; Springer Nature B.V; 대한기계학회
• Subjects: Biological effects; Blood flow; Brain damage; Capillaries; Computational fluid dynamics; Computer simulation; Control; Diffusion; Diffusion coefficient; Dynamical Systems; Engineering; Industrial and Production Engineering; Mechanical Engineering; Porous media; Vibration; 기계공학; Porous media; Tissue; Lattice Boltzmann method; Effective diffusion coefficient
• ISSN: 1738-494X; 1976-3824
• DOI: 10.1007/s12206-017-0554-x

A new and rather accurate correlation for prediction of effective diffusion coefficient is proposed for the biological tissue in the brain. Blood flow in brain capillaries and mass diffusion process in the tissues as a porous media, surrounding the capillaries, are simulated by using the random nature of tissue structure and the lattice Boltzmann method. The present correlation which is obtained from the lattice Boltzmann method and is taken into account the effects of the pore or cell structure is validated by comparing it with that of theoretical, statistical and experimental data. A very good coincidence between experimental data and present results have been found. So, the results show that the new model for the effective diffusion coefficient is a good choice for normal and damaged brain tissue and it produces more accurate results than existing models.