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Computational fluid dynamics and neural network for modeling and simulations of medical devices

Version 2 2024-06-03, 16:43
Version 1 2017-07-21, 15:42
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posted on 2024-06-03, 16:43 authored by YS Morsi, Subrat DasSubrat Das
This chapter describes the utilization of computational fluid dynamics (CFD) with neural network (NN) for analysis of medical devices. First, the concept of mathematical modeling and its use for solving engineering problems is presented followed by an introduction to CFD with a brief summary of the numerical techniques currently available. A brief introduction to the standard optimization strategies for NN and the various methodologies in use are also presented. A case study of the design and optimization of scaffolds for tissue engineering heart valve using the combined CFD and NN approach is presented and discussed. This chapter concludes with a discussion of the advantages and disadvantages of the combined NN and CFD techniques and their future potential prospective.

History

Chapter number

12

Pagination

262-283

ISBN-13

9781591408482

Language

eng

Publication classification

BN.1 Other book chapter, or book chapter not attributed to Deakin

Copyright notice

2006, Idea Group

Extent

13

Editor/Contributor(s)

Begg R, Kamruzzaman J, Sarker R

Publisher

Idea Group Publishing

Place of publication

Hershey, Pa.

Title of book

Neural networks in healthcare: potential and challenges

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