We describe the theoretical modelling of an infrared (IR) sensor based on an oscillating bi-material cantilever in which the beam is quantified as a function of the squeeze-film damping ratio, by measurement of the forced damped resonance frequency or phase angle.
Analytical expressions for local stress as a function of the squeezing force and coefficient of friction were developed using a response surface technique along with limited FE analyses.
We unveil the force distribution in the flow-field, as a function of the extrusion and squeezing parameters.
Figure 3 Log plot of phase variance for various detection schemes for a coherent state and squeezed vacuum into an MZI, as a function of the average coherent photon number, (pmb{|alpha|^{2}}), shown in the very large power regime.
Figure 2 Log plot of phase variance for various detection schemes for a coherent state and squeezed vacuum into an MZI, as a function of the unknown phase difference ϕ.
In addition, theoretical models have been proposed to describe transitions from one to another regime as a function of Ca and C. For the transition from trap to squeeze, the critical capillary number (CaIc) was found to follow CaIc = a(CM−1), whereas the critical capillary number (CaIIc) of transition from squeeze to breakup corresponds to CaIIc = c1C−1.
The phase behavior and precipitation yield of a commercial phosphino-polyacrylate inhibitor (PPAA) widely employed in precipitation squeeze treatments have been characterized as a function of temperature, pH, and the Ca2+ and PPAA concentrations.
For a clear view of squeezing factor R as a function of film length L, 2D curves from Figure 5b are presented in Figure 6.
Figure 2 Optimal squeezing r for the generalised heterodyne measurement in a E&D strategy, as a function of (pmb{alpha_{0}}).
Deflection signal as a function of degrees.
The probability density | ψ s, n 1, n 2 ( q 1, q 2, t ) | 2 with squeezing parameters r1 = r2 = 0.7 and ϕ1 = ϕ2 = 1.5 is shown here as a function of q1 and t.
