Contents & References of Numerical simulation of a flow measurement microsensor in a real human aorta model
List:
Chapter One: Introduction. 1
1-1- Introduction. 3
1-2- Objective. 4
1-3- Main concepts. 5
1-3-1- blood vessels. 5
1-3-2- heart. 8
1-3-3- circulatory system. 10
1-3-4- heart period. 11
1-3-5- Blood. 13
1-3-6- Blood flow in the aorta. 16
1-3-7- CT angiography. 16
1-3-8- Catheter. 18
1-3-9- Microelectromechanical systems. 19
1-3-10- Types of flow measurement microsensors. 21
Chapter Two: An overview of past research. 26
2-1- Studies conducted in relation to flow measurement microsensors. 2
2-2- Studies done in relation to blood flow in the body. 34
Chapter three: Equations governing the problem. 39
3-1- Electric current. 41
3-2- fluid. 42
3-3- solid. 44
Chapter four: design and optimization of microheater structure and geometry production. 45
4-1- Design and optimization of microheater structure. 47
4-2- Geometric production related to the microsensor, to enter the aorta. 59
4-3- The steps of making the actual geometry of the human aorta. 62
4-4- How to enter the catheter into the aortic artery. 67
Chapter Five: Solving flow in simple geometry. 69
Sixth chapter: Analysis of results. 77
6-1- Boundary conditions. 79
2-6- fluid specifications. 92
6-3- Network studies. 93
6-4- Investigating the flow regime in the aorta. 103
6-5- Hardware used 103
6-6- Basic conditions. 103
6-7- Comparison of the results with the results of Fluent software. 104
6-8- Calculation of the potential difference required to be applied to the two heads of the microheater. 106
6-9- Analysis and comparison of the results in cases of presence or absence of microsensor in the aorta 106
Chapter seven: conclusions and suggestions. 17-1- Conclusion. 145
7-2- Suggestions. 147
List of sources. 149
Source:
1. Lee, C.Y., S.J. Lee, and G.W. Wu. Fabrication of micro temperature sensor on the flexible substrate. in 7th IEEE Conference. 2007. IEEE.
2. Lee, W., Biofluid Mechanics in Cardiovascular Systems. 2006: United States of America: McGraw-Hill Companies, Inc.
3. Cedars-Signal. Aortic disease; Available from: http://www.cedars-sinai.edu/Patients/Programs-and-Services/Heart-Institute/Conditions/Aortic-Disease.aspx.
4. Congenital Heart Abnormalities and Abnormalities of the Arch of the Aorta. Programs and Clinics 2011; Available from: https://www.chw.org/display/PPF/DocID/48516/Nav/1/router.asp.
5. Srivastava, D., Making or Breaking the Heart: From Lineage Determination to Morphogenesis. Cell, 2006. 126(6): p. 1037-1048.
6. Chandran, K.B., A.P. Yoganathan, and S.E. Rittgers, Biofluid mechanics: the human circulation. 2012: CRC Press.
7. Guyton, A.C. and J.E. Hall, Textbook of medical physiology. Elsevier Saunders. Philadelphia, PA, 2006: p. 764-5.
8. Banerjee, R.K., Y.I. Cho, and K. Kensey, Effect of the non-Newtonian viscosity of blood on steady and pulsatile flow in stenosed arteries. Advances in bioengineering, 1991. 20: p. 103-106.
9. Johnston, B.M., et al., Non-Newtonian blood flow in human right coronary arteries: steady state simulations. Journal of Biomechanics, 2004. 37(5): p. 709-720. 10. Cho, Y.I. and K.R. Kensey, Effects of the non-Newtonian viscosity of blood on flows in a diseased arterial vessel. Part 1: Steady flows. Biorheology, 1991. 28(3-4): p. 241-262
11. Fung, Y.-c., Biomechanics: circulation. 1997: Springer.
12. Morris, L., et al., A mathematical model to predict the in vivo pulsatile drag forces acting on bifurcated stent grafts used in endovascular treatment of abdominal aortic aneurysms (AAA). Journal of biomechanics, 2004. 37(7): p. 1087-1095.
13. Nerem, R., W. Seed, and N. Wood, An experimental study of the velocity distribution andWood, An experimental study of the velocity distribution and transition to turbulence in the aorta. J. Fluid Mech., 1972. 52(part 1): p. 137-160.
14. Lyshevski, S.E., MEMS and NEMS: systems, devices, and structures. 2002: CRC Press.
15. Kuo, J.T.W., L. Yu, and E. Meng, Micromachined Thermal Flow Sensors—A Review. Micromachines, 2012. 3(3): p. 550-573.
16. Nguyen, N.T., Micromachined flow sensors-a review. Flow measurement and Instrumentation, 1997. 8(1): p. 7-16
17. Chiu, N., T. Hsiao, and C. Lin, Low power consumption design of micro-machined thermal sensor for portable spirometer. Tamkang Journal of Science and Engineering, 2005. 8(3): p. 225.
18. Cole, J., Heat transfer from wires at Reynolds numbers in the Oseen range. 1954: Heat Transfer & Fluid Mechanics Institute, University of California.
19. Van Putten, A.F.P. and S. Middelhoek, Integrated silicon anemometer. Electronics Letters, 1974. 10(21): p. 425-426
20. Petersen, K., J. Brown, and W. Renken. High-precision, high-performance mass-flow sensor with integrated laminar flow micro-channels. 1985.
21. Nguyen, N. and W. D?tzel, Asymmetrical locations of heaters and sensors relative to each other using heater arrays: a novel method for designing multi-range electrocaloric mass-flow sensors. Sensors and Actuators A: Physical, 1997. 62(1): p. 506-512.
22. Wu, S., et al., MEMS flow sensors for nano-fluidic applications. Sensors and Actuators A: Physical, 2001. 89(1): p. 152-158.
23. Meng, E., P.-Y. Li, and Y.-C. Tai, A biocompatible Parylene thermal flow sensing array. Sensors and Actuators A: Physical, 2008. 144(1): p. 18-28.
24. Li, C., et al., A flexible polymer tube lab-chip integrated with microsensors for smart microcatheter. Biomedical Microdevices, 2008. 10(5): p. 671-679.
25. Liu, P., R. Zhu, and R. Que, A flexible flow sensor system and its characteristics for fluid mechanics measurements. Sensors, 2009. 9(12): p. 9533-9543.
26. Ahrens, R. and M. Festa, Dynamical flow measurements in hydraulic systems using a polymer-based micro flow sensor. Procedia Chemistry, 2009. 1(1): p. 927-930.
27. Selvakumar, V. and L. Sujatha, Design and Analysis of Micro-Heaters for Temperature Optimization Using COMSOL Multiphysics for MEMS Based Gas Sensor, in Comsol Conference. 2012: Bangalore.
28. Taylor, C.A., T.J. Hughes, and C.K. Zarins, Finite element modeling of blood flow in arteries. Computer methods in applied mechanics and engineering, 1998. 158(1): p. 155-196.
29. Alishahi, M., M.M. Alishahi, and H. Emdad, Numerical simulation of blood flow in a flexible stenosed abdominal real aorta. Scientia Iranica, 2011. 18(6): p. 1297-1305.
30. Vasava, P., et al., Finite element modeling of pulsatile blood flow in idealized model of human aortic arch: study of hypotension and hypertension. Computational and mathematical methods in medicine, 2012. 2012.
31. Ozawa, E.T., A numerical model of the cardiovascular system for clinical assessment of the hemodynamic state. 1996, Massachusetts Institute of Technology.
32. Olufsen, M.S., et al., Numerical simulation and experimental validation of blood flow in arteries with structured-tree outflow conditions. Annals of biomedical engineering, 2000. 28(11): p. 1281-1299.
33. Azer, K. and C.S. Peskin, A one-dimensional model of blood flow in arteries with friction and convection based on the Womersley velocity profile. Cardiovascular Engineering, 2007. 7(2): p. 51-73.
34. Liang, F., et al., Multi-scale modeling of the human cardiovascular system with applications to aortic valvular and arterial stenoses. Medical & biological engineering & computing, 2009. 47(7): p. 743-755.
35. Caro, C., J. Fitz-Gerald, and R.