Simulation, fabrication and analysis of silver based ascending sinusoidal microchannel (ASMC) for implant of varicose veins

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Abstract

Bioengineered veins can benefit humans needing bypass surgery, dialysis, and now, in the treatment of varicose veins. The implant of this vein in varicose veins has significant advantages over the conventional treatment methods. Deep vein thrombosis (DVT), vein patch repair, pulmonary embolus, and tissue-damaging problems can be solved with this implant. Here, the authors have proposed biomedical microdevices as an alternative for varicose veins. MATLAB and ANSYS Fluent have been used for simulations of blood flow for bioengineered veins. The silver based microchannel has been fabricated by using a micromachining process. The dimensions of the silver substrates are 51 mm, 25 mm, and 1.1 mm, in length, width, and depth respectively. The dimensions of microchannels grooved in the substrates are 0.9 mm in width and depth. The boundary conditions for pressure and velocity were considered, from 1.0 kPa to 1.50 kPa, and 0.02 m/s to 0.07 m/s, respectively. These are the actual values of pressure and velocity in varicose veins. The flow rate of 5.843 (0.1 nL/s) and velocity of 5.843 cm/s were determined at Reynolds number 164.88 in experimental testing. The graphs and results from simulations and experiments are in close agreement. These microchannels can be inserted into varicose veins as a replacement to maintain the excellent blood flow in human legs.

Figures

  • Figure 1. Microchannel classification.
  • Figure 2. (a) Tortuous veins; (b) normal ascending sinusoidal veins which becomes varicose veins; and (c) swelled varicose veins.
  • Table 1. Extensive details of different microchannels. PEFC: Polymer electrolyte fuel cell; WEDM: Wire electric discharge machining; PEM/GDL: Gas diffusion layer and GDL/GFC: Gas flow channel.
  • Table 2. Ranges of membership functions.
  • Figure 3. (a) Ascending sinusoidal microchannel (ASMC) by using fuzzy logic based inference system editor; (b) MATLAB Rule Viewer.
  • Table 3. Comparison between Mamdani’s value and MATLAB simulation.
  • Figure 4. The 3D surface viewer graphs. (a) The dependency of flow rate on % loss and curve height. (b) The dependency of flow rate on pressure and curve height. (c) The dependency of flow rate on % loss and pressure. (d) The dependency of flow rate on Reynolds number and pressure. (e) The dependency of flow rate on curve height and Reynolds number. (f) The dependency of flow rate on % loss and Reynolds number. Figure 4g presents the dependency of velocity on % loss and curve height. (h) The dependency of flow rate on pressure and curve height. (i) The dependency of velocity on % loss and pressure. (j) The dependency of velocity on Reynolds number and pressure. (k) The dependency of velocity on curve height and Reynolds number. (l) The dependency of velocity on % loss and Reynolds number.
  • Figure 6. Cont.

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CITATION STYLE

APA

Afzal, M. J., Tayyaba, S., Ashraf, M. W., Hossain, M. K., Uddin, M. J., & Afzulpurkar, N. (2017). Simulation, fabrication and analysis of silver based ascending sinusoidal microchannel (ASMC) for implant of varicose veins. Micromachines, 8(9). https://doi.org/10.3390/mi8090278

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