Takao Ueda

TL;DR: In this paper, a method was proposed for estimating the number of particle sections that should be analyzed in order to achieve a degree of apparent liberation in 2D and 3D for a desired arbitrary reliability.

TL;DR: In this paper, an experimental method combining artificial binary particle production and X-ray CT is proposed in response to the abovementioned requests, and stereological bias analyses were conducted on 16 samples with various internal structures using the proposed method.

TL;DR: In this article, a systematic numerical study was conducted on particles with an internal mineral structure based on Voronoi modeling, in which three-dimensional degrees of liberation were compared with their 2D counterparts, for random particle cross-sections.

TL;DR: In this article, a conversion method which simultaneously estimates multiple 3D characteristics from measurable multiple 2D counterparts is proposed, which consists of the following steps: numerical creation of 3D particle models; computation of 3d and 2d parameter distributions of the model particles to establish a conversion database; and determination of the optimal combination of the 3d particle models to fit the measured 2D parameter distributions, using the genetic algorithm.

TL;DR: In this article, the effect of surface roughness on the stereological bias was investigated and the results showed that the effect was smaller than 7.6% when comparing cases with surface smoothness.