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F.R. Larson and J. Miller proposed that creep rate could adequately be described by the Arrhenius type equation: r = A ⋅ e − Δ H / ( R ⋅ T ) {\displaystyle r=A\cdot e^{-\Delta H/(R\cdot T)}} Where r is the creep process rate, A is a constant, R is the universal gas constant , T is the absolute temperature , and Δ H {\displaystyle \Delta ...
The Hollomon–Jaffe parameter (HP), also generally known as the Larson–Miller parameter, [1] describes the effect of a heat treatment at a temperature for a certain time. [2] This parameter is especially used to describe the tempering of steels, so that it is also called tempering parameter.
The equations show that the hardening effect of solutes is strong if the factor B in the power-law equation is low so that the dislocations move slowly and the diffusivity D sol is low. Also, solute atoms with both high concentration in the matrix and strong interaction with dislocations are strong gardeners.
In the equation shown on this page, it shows the larson-miller parameter to be the activation energy over the gas constant and then has log of the time on the other side. Up until this point natural log was being used, in that case it should be the natural log of time.
The general form of its probability density function is [2] [3] = (). The parameter μ {\textstyle \mu } is the mean or expectation of the distribution (and also its median and mode ), while the parameter σ 2 {\textstyle \sigma ^{2}} is the variance .
Miller twist rule is a mathematical formula derived by American physical chemist and historian of science Donald G. Miller (1927-2012) to determine the rate of twist to apply to a given bullet to provide optimum stability using a rifled barrel. [1]
The ratio estimator is a statistical estimator for the ratio of means of two random variables. Ratio estimates are biased and corrections must be made when they are used in experimental or survey work. The ratio estimates are asymmetrical and symmetrical tests such as the t test should not be used to generate confidence intervals.
A ratio distribution (also known as a quotient distribution) is a probability distribution constructed as the distribution of the ratio of random variables having two other known distributions. Given two (usually independent) random variables X and Y, the distribution of the random variable Z that is formed as the ratio Z = X/Y is a ratio ...