A method based on exponential weighting functions is proposed to approximate the observation error profile.
Furthermore, error profile with small amplitude can be more easily eliminated.
In terms of desired error profile, the main aim would be to minimize misclassifying a MTBC as a NTM, or vice versa.
Volume removal analysis suggests that, to remove an arbitrary error profile, the tool dwelling-time at the machining area can be designed to be a linear function of the error profile.
The results indicate that a larger residual error occurs when the wavelengths of the error profile are smaller than the machining zone, and vice versa.
The analysis indicates that the dominant factors in deciding residual error include the number of iterations, size of the machining zone, tool step size, and wavelength and amplitude of the error profile.
For comparison purposes, an error profile was generated for the case in which no attenuation correction was performed.
By taking (N=40), (Delta t=0.001), the absolute error profile is plotted at different time levels in Figure 9.
To exhibit the accuracy of the scheme, the absolute error profile is plotted at different time levels in Figure 6 (with (N=60), (Delta t=0.001)).
As seeing the profile, the cupping removal is slightly better when (N_g) is bigger (smaller Gaussians), and the error profile is overall closer to zero.
An important consequence of relation (3) is that the error profile δzerr(x) can be obtained if the "calibration factor" ∂I/∂z is known: δ z err = Δ I err ( x ) ∂ I ∂ z ( x, z true ( x ) ) (4).
