A new deconvolution method for analysis of probability density distribution spectra observed in gamma-ray interrogation measurements of multi-phase flows / D.D.S. Liu.: M38-13/85-8E-PDF
"A numerical method for the deconvolution of probability density distribution spectra (PDDS) has been developed. It is based on principles of the least square and the Newton-Raphson iteration algorithm. The PDDS were obtained from measurements of multi-phase flows using a gamma-ray interrogation technique developed recently in the Synthetic Fuels Research Laboratory of the Energy Research Laboratories, CANMET in collaboration with the Chalk River Nuclear Laboratories, Atomic Energy of Canada Limited. The deconvoluted PDDS contain information on the hydrodynamic parameters of multi-phase flow phenomena. Fundamental equations for the numerical method were translated into a Fortran program for practical applications. Examples of PDDS deconvolutions for both simulated and observed spectra are given"--Abstract, p. i.
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| Title | A new deconvolution method for analysis of probability density distribution spectra observed in gamma-ray interrogation measurements of multi-phase flows / D.D.S. Liu. |
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| Publication type | Monograph - View Master Record |
| Language | [English] |
| Other language editions | [French] |
| Format | Digital text |
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| Description | v, 31 p. : graphs |
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