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Improved Data-Reduction Methods for Laser-Pulse-Diffusivity Determination with the Use of Minicomputers

机译:利用小型计算机改进激光脉冲扩散系数的数据简化方法

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Some improved data reduction and analysis techniques for pulse diffusivity measurements which exploit the capabilities of minicomputers are described and demonstrated. Specific topics include the following: (a) a generalized approach for obtaining simultaneous laser pulse time and radiative heat loss corrections for an arbitrary laser pulse shape is developed. A large scale computer is initially used to calculate convolution integral solutions and generate correction factors. The results are then placed, via a two-dimensional curve fit, into a form convenient for minicomputers. Data reduction approaches of either Cowan, or Clark and Taylor can be used. (b) A parameter estimation theory approach to data reduction is presented as an alternative to the usual data reduction methods of Cowan or Clark and Taylor. The estimation approach, intended primarily for use as a diagnostic tool, involves fitting an analytical solution to experimental data by minimizing the mean square error between the two. Thermal diffusivity and radiative loss factor are determined simultaneously from a solution form which includes laser pulse time corrections. With on-line plotting capabilities the method can be used to examine the systematic deviations between theory and experiment with moderate expenditures of computer time. (c) The use of nonrecursive linear digital noise filters based on finite Fourier transform techniques is discussed as a method for smoothing of data on minicomputers. Some results obtained for pulse diffusivity data with the use of a filter with hanning window characteristics are presented. (ERA citation 81:026724)

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