By Ashim Datta, Vineet Rakesh
Equipped round challenge fixing, this e-book lightly introduces the reader to computational simulation of biomedical shipping approaches, bridging primary conception with real-world purposes. utilizing this ebook the reader will achieve an entire origin to the topic, beginning with challenge simplification, enforcing it in software program, via to analyzing the implications, validation, and optimization. Ten case stories, concentrating on rising components comparable to thermal treatment and drug supply, with effortless to persist with step by step directions, supply ready-to-use templates for extra purposes. answer strategy utilizing the widely used instrument COMSOL Multiphysics is defined intimately; valuable biomedical estate info and correlations are integrated; and heritage conception info is given on the finish of the ebook for simple reference. a mix of brief and prolonged workouts make this publication a whole direction package deal for undergraduate and starting graduate scholars in biomedical and biochemical engineering curricula, in addition to a self-study advisor.
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Additional info for An Introduction to Modeling of Transport Processes: Applications to Biomedical Systems
If not, is there another material that would be similar and for which data are likely to be more readily available? In the case of a complex material, what simplification of the material can we get away with? (2) Can we estimate the property using empirical predictive equations? (3) How accurate must the data be? (4) When accurate property data are not available for a particular material, which is often the case, how do we get useful information from the simulation? These topics are addressed in greater detail in Chapter 9.
18. , it is transient, we need to include the initial condition which is the condition at time t = 0. , it can vary spatially. For example, the initial condition in a drug delivery problem may involve some previous presence of the drug that varies with position. In a heat transfer problem, initially, the material may not be at uniform temperature, but exhibit spatially varying temperatures. 18 Schematic showing two possible ways (either as surface flux or as source term) of implementing radiative energy incident at a surface; depending on the penetration depth of the radiation into the material.
6. Depending on the geometry chosen, the amount of computation increases dramatically, but the question we have to answer is: are we learning anything new as we move from 1D to 3D? If we think of the 3D geometry in terms of r, θ and z directions, it seems reasonable to assume that most of the diffusion of H2 O2 will be in the r direction (since the boundary concentration is uniform in the θ and z directions, respectively). 6(c), should suffice. Sometimes, however, the software does not allow a 1D geometry.