When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Larson–Miller relation - Wikipedia

    en.wikipedia.org/wiki/LarsonMiller_relation

    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 ...

  3. Hollomon–Jaffe parameter - Wikipedia

    en.wikipedia.org/wiki/Hollomon–Jaffe_parameter

    The Hollomon–Jaffe parameter (HP), also generally known as the LarsonMiller 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.

  4. Creep (deformation) - Wikipedia

    en.wikipedia.org/wiki/Creep_(deformation)

    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.

  5. Talk:Larson–Miller relation - Wikipedia

    en.wikipedia.org/wiki/Talk:LarsonMiller_relation

    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.

  6. Mills ratio - Wikipedia

    en.wikipedia.org/wiki/Mills_ratio

    The inverse Mills ratio is the ratio of the probability density function to the complementary cumulative distribution function of a distribution. Its use is often motivated by the following property of the truncated normal distribution. If X is a random variable having a normal distribution with mean μ and variance σ 2, then

  7. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable.The general form of its probability density function is [2] [3] = ().

  8. Informant (statistics) - Wikipedia

    en.wikipedia.org/wiki/Informant_(statistics)

    While the score is a function of , it also depends on the observations = (,, …,) at which the likelihood function is evaluated, and in view of the random character of sampling one may take its expected value over the sample space.

  9. Miller index - Wikipedia

    en.wikipedia.org/wiki/Miller_index

    Miller–Bravais indices. With hexagonal and rhombohedral lattice systems, it is possible to use the Bravais–Miller system, which uses four indices (h k i ℓ) that obey the constraint h + k + i = 0. Here h, k and ℓ are identical to the corresponding Miller indices, and i is a redundant index.