2019 年 56 巻 10 号 p. 567-572
It is required in various field to accurately assess 3D particle characteristics such as particle shape and size distribution. However, 2D characteristics are often measured instead of 3D in practice. A conversion method simultaneously estimating multiple 3D characteristics from measurable 2D counterparts is developed. Briefly, the method consists of the following steps: creation of 3D particle models; computation of 3D and 2D parameter distributions of the particle models; and determination of the optimal combination of the 3D particle models to fit the measured 2D parameter distributions. The method was numerically validated using ellipsoid-based particles with various surface roughness.