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To convert the Vickers hardness number to SI units the hardness number in kilograms-force per square millimeter (kgf/mm 2) has to be multiplied with the standard gravity, , to get the hardness in MPa (N/mm 2) and furthermore divided by 1000 to get the hardness in GPa.
1 GPa Extremely high-pressure chemical reactors (10 kbar) [citation needed] 1.5 GPa Diamond melts using a 3 kJ laser without turning into graphite first [79] 1.5 GPa 220,000 psi tensile strength of Inconel 625 according to Aircraft metal strength tables and the Mil-Hdbk-5 [80] 5.8 GPa 840,000 psi Ultimate tensile strength of the polymer Zylon ...
Young's modulus is commonly measured in the International System of Units (SI) in multiples of the pascal (Pa) and common values are in the range of gigapascals (GPa). Examples: Rubber (increasing pressure: length increases quickly, meaning low ) Aluminium (increasing pressure: length increases slowly, meaning high )
The shear modulus is one of several quantities for measuring the stiffness of materials. All of them arise in the generalized Hooke's law: . Young's modulus E describes the material's strain response to uniaxial stress in the direction of this stress (like pulling on the ends of a wire or putting a weight on top of a column, with the wire getting longer and the column losing height),
Specific modulus is a materials property consisting of the elastic modulus per mass density of a material. It is also known as the stiffness to weight ratio or specific stiffness.
Indeed, whiskers with perfect single crystal structure and defect-free surfaces have been shown to demonstrate yield stress approaching the theoretical value. For example, nanowhiskers of copper were shown to undergo brittle fracture at 1 GPa, [19] a value much higher than the strength of bulk copper and approaching the theoretical value.
The ultimate tensile strength of a material is an intensive property; therefore its value does not depend on the size of the test specimen.However, depending on the material, it may be dependent on other factors, such as the preparation of the specimen, the presence or otherwise of surface defects, and the temperature of the test environment and material.
Logistic regression is used in various fields, including machine learning, most medical fields, and social sciences. For example, the Trauma and Injury Severity Score (), which is widely used to predict mortality in injured patients, was originally developed by Boyd et al. using logistic regression. [6]