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Using these methods, the velocity error dynamics are obtained.
Even with these three methods, the velocity of trains could not be improved remarkably because of the aerodynamic drag.
An experiment was designed and conducted to record, using digital particle image velocimetry (DPIV) methods, the velocity of the mobile particulate material in its passage through the individual zones between the rollers.
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Using the UB method, the velocity fields of the sprocket billet in the forming process were divided theoretically and calculated.
By the acoustic method, the velocity field is restored with the vector tomography from the reciprocal acoustic travel time data measured.
Using the eigenfunction expansion method the velocity potentials for the boundary value problem (BVP) are obtained and the unknown coefficients associated with the BVP are determined by the method of least square approximation on suitable application of edge conditions.
With this hybrid method, the velocity distribution can be constructed with no input information required, implying a saving in number of sensor and in sensor installing time.
By using the proposed method, the velocity measurement accuracy is improved compared to currently known methods, since high-resolution time-to-digital converters (TDC) are included in the design.
Based on the analysis of the upper-bound method, the velocity field for the cold semi-precision forging process for a multi-row sprocket was verified by FE simulation to obtain the distributions of the velocity fields in the die cavity filling.
In the current immersed interface method, the velocity and the pressure are solved using the MAC scheme with the incorporation of jump conditions induced by the singular force and a discontinuous finite body force.
In the present method, the velocity distribution across the entire wall layer is represented by analytic embedded functions; the outer-layer flow is calculated subject to the condition that the numerical solution blends smoothly into the embedded wall-layer functions.
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