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Close resonance frequencies and considerable power output can be achieved in multiple modes by varying the positions of the masses.
Therefore, we have an access to tune the defect modes by varying the length of nano-cavity or the thickness of silica layer below the nano-cavity graphene.
One can systematically control the strength and resonance energy of these plasmon modes by varying the pair-distance between the pairs, the gap-distance between the pair, the optical constant of the dielectric-core, and the surrounding medium.
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Its adsorption behaviour was studied using the batch mode by varying different parameters like pH, initial concentration of metal ions and shaking time as well as the presence of interfering ions.
DPM defines a Power Manager to adapt the system behaviour by using different power modes, or by varying the frequency and/or voltage, to dynamically adjust to the system requirements in performance and power consumption.
The initial FE model is then corrected with the help of measured natural frequencies and mode shapes by varying some influential parameters of the bridge making use of engineering intuition.
Benchmark problems are solved to validate the approach and free vibration response of stiffened composite hypar shells is studied both with respect to fundamental frequency and mode shapes by varying the number and depth of stiffeners, laminations and boundary conditions.
Changes of buckling modes are captured by varying stiffener slenderness, number of stiffeners and tapering angle, treated as design parameters.
In the analytical model, higher order modes due to the discontinuities of loudspeaker and microphone boundaries are included and the effects of these higher order modes are investigated by varying the non-dimensionalized geometrical parameters.
This mode is triggered by varying the overhang lengths in accordance with the varying flow velocity in order to strike resonance for a certain flow regime.
The effect of thickness on the defect mode is studied by varying the parameters α, β, and γ, respectively, for the above model structures.
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