1973
DOI: 10.1016/0026-0800(73)90001-3
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Particle size distribution by area analysis: Modifications and extensions of the Saltykov method

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Cited by 20 publications
(8 citation statements)
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“…5. Since the position of the test plane cutting across the foam sample is entirely random, the diameter of the pore observed on the cut surface is often smaller than the diameter of the bubble that is being cut (if the test plane did not intercept the center of the bubble) [17].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…5. Since the position of the test plane cutting across the foam sample is entirely random, the diameter of the pore observed on the cut surface is often smaller than the diameter of the bubble that is being cut (if the test plane did not intercept the center of the bubble) [17].…”
Section: Resultsmentioning
confidence: 99%
“…The number of pores in each interval was then counted and recorded as N Ai , where i = 1, 2, …, n . Assuming that the largest diameter of the two‐dimensional pore is equal to that of the largest three‐dimensional cell in the foam and then dividing the three‐dimensional cell diameters into the same n intervals, the three‐dimensional cell size distribution can be projected from the two‐dimensional size distribution as follows: where N Vj is the number of cells in each diameter interval, and D j , j = 1, 2, …, n , is the upper bound of the j th diameter interval, and p j are the Saltykov coefficients, which have been previously determined [17]. Equation 2 gives the corrected number of three‐dimensional cells in a certain size group by subtracting the contributions from cells in larger three‐dimensional size groups that may be intersected by a random plane to give some number of two‐dimensional pores falling into this size group [22].…”
Section: Resultsmentioning
confidence: 99%
“…Average EDX data were obtained from several independent measurements from each phase. Grain size measurements were carried out using the Saltykov method (mean of several regions) [9]. Samples for grain analysis were etched with Villela's reagent to reveal grain boundaries.…”
Section: Methodsmentioning
confidence: 99%
“…It is advisable to choose the function (a) in such a way that the value will be related to an experimentally measurable quantities. We have chosen function () in such a way that limit values of variable are consistent with values obtained in procedures realized at analysis of particles orientation using Saltykov method [1,2]. Experimental estimation of grains orientation degree using this method is relatively simple.…”
Section: Quantitative Analysis Of Grains Orientationmentioning
confidence: 99%