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Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices

Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices

Yos S. Morsi, Subrat Das
Copyright: © 2006 |Pages: 22
ISBN13: 9781591408482|ISBN10: 1591408482|ISBN13 Softcover: 9781591408499|EISBN13: 9781591408505
DOI: 10.4018/978-1-59140-848-2.ch012
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MLA

Morsi, Yos S., and Subrat Das. "Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices." Neural Networks in Healthcare: Potential and Challenges, edited by Rezaul Begg, et al., IGI Global, 2006, pp. 262-283. https://doi.org/10.4018/978-1-59140-848-2.ch012

APA

Morsi, Y. S. & Das, S. (2006). Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices. In R. Begg, J. Kamruzzaman, & R. Sarker (Eds.), Neural Networks in Healthcare: Potential and Challenges (pp. 262-283). IGI Global. https://doi.org/10.4018/978-1-59140-848-2.ch012

Chicago

Morsi, Yos S., and Subrat Das. "Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices." In Neural Networks in Healthcare: Potential and Challenges, edited by Rezaul Begg, Joarder Kamruzzaman, and Ruhul Sarker, 262-283. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-848-2.ch012

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Abstract

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.

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