Statistical Microhardness Distribution Parameters and Their Relations with the Characteristics of Local Deformation and the Attenuation Coefficient of Ultrasonic Waves

• Published in: Russian metallurgy Metally 2023-04, Vol.2023 (4), p.533-540
• Main Authors: Larionova, A. V., Botvina, L. R.
• Format: Article
• Language: English
• Subjects: Alloy steels; Aspect ratio; Attenuation coefficients; Chemistry and Materials Science; Deformation; Diagnostics and Mechanical Test Techniques; Materials Science; Mechanical properties; Metallic Materials; Microhardness; Parameters; Reduction; Reduction of area; Ultrasonic attenuation; Wave attenuation
• ISSN: 0036-0295; 1555-6255; 1531-8648
• DOI: 10.1134/S0036029523040134

—The results of the study of low-carbon and structural alloyed steels using microhardness, attenuation of ultrasonic waves, and local grain deformation measurements are presented. To assess the state of the studied material, it is proposed to use statistical parameters of cumulative distributions of microhardness measurements. A novel approach for statistical evaluation of the state of material using quantile distributions of microhardness is developed. The comparison between sigmoid and quantile distributions was made, and reduction of area the relationships between statistical parameters and attenuation coefficient of ultrasonic waves, relative reduction of area and grain aspect ratio were obtained. The advantage of quantile distributions over sigmoid ones was demonstrated by higher sensitivity to the change of mechanical properties of material and lower number of coefficients to determine. The proposed method of statistical estimation of the mechanical properties makes it possible to estimate the state of stress in a material during operation.