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Title
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A NOVEL INTELLIGENT COMPUTATIONAL TECHNIQUE FOR BUCKLING OF NANO-ACTUATORS VIA CHEBYSHEV POLYNOMIALS WITH INTERIOR POINT ALGORITHM
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Type
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Presentation
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Keywords
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Nano-actuator, Chebyshev polynomial of the first kind, Interior point method, Fredholm integral equation.
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Abstract
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In this work, a novel intelligent computational technique is adopted for searching the behaviour of the problem of buckling of nano-actuators in the presence of various nonlinear forces. This generalization form for the nano-actuators is in fact a non-linear fourth-order Fredholm integro-differential boundary value problem (BVP). Then the BVP is transformed into an equivalent problem whose boundary conditions are such that they are convenient to apply reformed version of Chebyshev polynomials of the first kind. The mathematical formulation of optimization problem consists of an uninspected error which is minimized through adjusting weights via interior point method. This numerical based technique enables us to overcome all kind of nonlinearities in the mentioned boundary value problem. Thus, it can expedite the design of nano-actuators.
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Researchers
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Elyas Shivaniana (Second Researcher), Mahdi Keshtkar (First Researcher)
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