Particle morphology quantification and regeneration based on triangle side ratio

Abstract

Particle morphology quantification and regeneration play fundamental roles in understanding the physical behaviors of particulate materials. However, the current utilization of image technology for particle characterization faces limitations in descriptive and computational effect. To address this issue, a multi-scale particle morphology quantification approach based on the principle of triangle side ratio (TSR) has been proposed. This includes the TSR-T, TSR-A, and TSR-F methods, which quantify the three aspects of particle morphology: surface texture, angularity, and form, respectively. The descriptors generated by the TSR quantification approach have a clear physical significance, aligning the quantification outcomes with human subjective perception. This approach provides a comprehensive characterization of particle morphology without introducing information redundancy. Furthermore, combining the descriptor derived from the TSR quantification, we have developed an optimized particle regeneration method based on Fourier coefficients. The optimized method independently controls the reconstruction of the particle morphology at each level through different control coefficients. There is no obvious coupling effect between the different control coefficients, realizing the precise control of particle morphology regeneration.