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This work pertains to modern, interdisciplinary research trends in nanomaterials. The author presents a novel method with major potential for various applications such as ferromagnetic brakes and valves; nanosized shock absorbers, and in the medical field, heart valves and medical nanorobots. A mathematical model is constructed with numerical solutions proposed for the system of equations describing the model. The underlying assumption is that a ferromagnetic suspension can be regarded as a continuous medium. Such an assumption was originally suggested in Peskin s Immersed Boundary (IB)…mehr

Produktbeschreibung
This work pertains to modern, interdisciplinary
research trends in nanomaterials. The author presents
a novel method with major potential for various
applications such as ferromagnetic brakes and valves;
nanosized shock absorbers, and in the medical field,
heart valves and medical nanorobots. A mathematical
model is constructed with numerical solutions
proposed for the system of equations describing the
model. The underlying assumption is that a
ferromagnetic suspension can be regarded as a
continuous medium. Such an assumption was originally
suggested in Peskin s Immersed Boundary (IB) method.
The IB method is coupled with Chorin s Projection
method to construct a finite differences scheme for
solving a boundary value case. The application and
the calculations are done to a first order
approximation, hence fluid flow is treated as a
Stokes flow. The integration of the rheological
behavior is implicit, through the force density
field. This method can easily extend to an entire
class of Newtonian and non-Newtonian ferromagnetic
real fluids, whose shear viscosity depend upon the
magnetic field, and upon the modulus of the strain
rate tensor.
Autorenporträt
Constantin C. Nichita, Ph.D., studied Mathematics at University
of Buffalo. He has a M.S. in Mechanical Engineering from
University of Buffalo. Professional experience Postdoctoral
Research in Geophysical Mass Flows at University of Buffalo and
Postdoctoral Research in Artificial Intelligence at Petroleum-Gas
University of Ploiesti.