A parallel plate multi-surface detection method and fixture
A parallel flat plate and detection method technology, applied in the direction of measuring devices, instruments, optical devices, etc., can solve the problems of neglect and inaccurate solution results, and achieve the effect of accurate solution results, avoiding information loss, and simple and easy process
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Embodiment 1
[0043] In this embodiment, a parallel plate multi-surface detection method based on optimal iteration of target information is used to solve the surface shape of multi-surface transparent DUTs including secondary reflection signals, and realize accurate measurement of multi-surface transparent DUTs , including the following steps: by selecting a target piece of the same material and thickness as the measured piece as an iterative reference, the initial phase value of each surface target signal is obtained by solving the least squares equation, and then the distribution of the surface topography is solved; using the Fizeau formula The wavelength phase-shifting interferometer collects 18 interferograms, quantifies the error and guides the optimization direction based on the known information distribution on the target part, and uses the BFGS quasi-Newton method and the steepest descent method to solve the least squares equation to obtain the shape distribution of the target signal...
Embodiment 2
[0046] This embodiment is basically the same as Embodiment 1, especially in that:
[0047] In this embodiment, the iterative algorithm uses a minimum unconstrained algorithm based on the steepest descent method. The selected iterative digital signal target is the horizontal geometric centerline on the target part, and the difference between the solution value of each solution and the known curve is used as the iterative quantification error, and the reduction of the error is the optimization direction. The algorithm of minimum unconstrained optimization is selected as the optimization iterative algorithm, which can obtain the optimal solution of the solution target; when solving the phase secondary iteration, the least square method is used as the solution method to construct the solution equation, and the solution equation uses the BFGS quasi-Newton method Comparing with the traditional Gaussian elimination method, this algorithm has a higher solution accuracy than the tradit...
Embodiment 3
[0049] This embodiment is basically the same as the previous embodiment, and the special features are:
[0050] In this embodiment, in order to solve the simultaneous non-contact measurement of the transparent parallel flat plate under test, and accurately design the solution algorithm and solution parameters, the present invention proposes a parallel plate multi-surface detection method based on the optimal iteration of target information, aiming at The tested piece is a transparent parallel plate.
[0051] The basic technical principles are as follows:
[0052] By selecting a target piece with known information of the same material and thickness as the measured piece as an iterative reference, the initial phase value of each surface target signal is obtained by solving the least squares equation, and then the distribution of surface topography is solved. The solution of the least squares equation uses the BFGS quasi-Newton method, which has higher solution accuracy and appl...
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