Ceramic Grindability Evaluation with PCA Method
Mathematical evaluation model for ceramic grindability was presented based on principal components analysis (PCA) method. Sample matrix was constituted with influence factors of ceramic grindability. Principal components and weight vectors were determined through calculation of eigenvalues and eigenvectors of correlation matrix, which was deduced from sample matrix. Comprehensive values could be obtained through eigenvectors and weights vectors. Seven ceramics were selected as evaluation example. Material property parameters including hardness, fracture toughness, Young’s modulus and bending strength were selected as influence factors of ceramic grindability.According to the comprehensive evaluation values, grindability rank of seven materials from better to worse was B4C, sintering SiC, high-purity Al2O3, hot-pressed SiC, sintering Si3N4, hot-pressed Si3N4 and Y-TZP. Moreover, the determination of weight vectors could offer reference for other comprehensive evaluation methods. Research results suggest that PCA is a reasonable and available method to determine the rank of ceramic grindability.
Dongming Guo, Tsunemoto Kuriyagawa, Jun Wang and Jun’ichi Tamaki
A. B. Yu et al., "Ceramic Grindability Evaluation with PCA Method", Key Engineering Materials, Vol. 329, pp. 421-426, 2007