A program for the prediction of the Ac1 temperature of steels, including martensitic stainless steels, as a function of chemical composition and heating rate.
An application of the Tpros programfor calculating the start and stop temperatures, Ac1 and Ac3, of Austenite formation during continuous heating of a steel alloy.
Estimation of the Vickers hardness of austempered ductile cast irons (ADI) as a function of chemical composition and heat treatment conditions (austenitising temperature, austenitising time, austempering temperature and austempering time).
Estimation of the tensile yield strength in austempered ductile cast irons (ADI) as a function of the chemical composition and heat treatment conditions (austenitising temperature, austenitising time, austempering temperature and austempering time).
Estimation of the ultimate tensile strength in austempered ductile cast irons (ADI) as a function of the chemical composition and heat treatment conditions (austenitising temperature, austenitising time, austempering temperature and austempering time).
Estimation of the tensile elongation of austempered ductile cast irons (ADI) as a function of the chemical composition and heat treatment conditions (austenitising temperature, austenitising time, austempering temperature and austempering time).
Estimation of the Charpy impact toughness of austempered ductile cast irons (ADI) as a function of the chemical composition, test temperature and heat treatment conditions (austenitising temperature, austenitising time, austempering temperature and austempering time).
Estimation of the amount of retained austenite in austempered ductile cast irons (ADI) as a function of chemical composition and heat treatment conditions (austenitising temperature, austenitising time, austempering temperature and austempering time).
Calculates the Ae 3temperature of low alloy steels containing Mn, Si, Ni, Cr, Mo, Cu, V, Nb, W, Co and C as a function of the carbon concentration between 0 and 0.5wt%.
An Android APP that allows you to use your mobile telephone or tablet to calculate the martensite (alpha' and epsilon) and bainite-start temperatures, Ae 1and Ae 3temperatures of low alloy steels containing Mn, Si, Ni, Cr, Mo, Cu, V, Nb, W, Co and C.
A model incorporating nucleation and growth theory was used to describe the volume fraction of recrystallisation as a function of deformation and the heating rate. Observed variations in the recrystallisation temperature and the nucleation rate have been found to be consistent with the assumption that anything which introduces heterogeneity into the microstructure stimulates recrystallisation.
This program allows the growth of austenite nucleated within pearlite to consume both the cementite and ferrite lamellae. An austenite allotriomorph at the cementite/ferrite interface thickens in both (opposite) directions, isothermally and under carbon diffusion-control.
This program is an implementation of a genetic algorithm which can reach an optimum set of parameters for a target value of yield strength of austenitic stainless steel. This can in theory be applied to any problem, where a neural network exists.
This program allows the kinetics of the bainite transformation to be estimated as a function of heat treatment, austenite grain size and the chemical composition of the steel concerned. .
Makes use of several programs and routines to model the phase transformations occurring during cooling of steel from austenitic range to room temperature.
Describes the evolution of the thickness of a grain boundary precipitate, assumed to have an infinite radius of curvature, as a function of the time, in the presence of a distribution of spherical particles present in the center of the grain. Essentially a coarsening process.
MAP_STEEL_CONCDIF uses a numerical solution for the problem of the growth of a planar interface under the conditions of volume diffusion control and a diffusion coefficient in the matrix which varies with concentration, to obtain a value for the one-dimensional parabolic thickening rate constant for the growth of ferrite in austenite.
A neural network model which includes service temperature, service time, composition, heat treatment, precipitates and dissolved solutes as inputs, and which can be used for the calculation and factorisation of long-term creep--rupture strength of ferritic steels.
A program for the estimation of the creep life of austenitic stainless steels as a function of elemental composition, test conditions and solution treatment.
Calculation of Debye X-ray diffraction rings for martesnite or bainite due to stress-induced transformation of polycrystalline austenite. The sample may be textured.
Calculates the concentration-dependent diffusion coefficient of carbon in austenite, as a function of temperature and chemical composition, including substitutional solutes..
Calculates the volume fraction of the amount transformed from austenite to ferrite, during cooling, from a measure of the length change. Suitable for high carbon content steels.
FORTRAN program to calculate the mole fraction of precipitates and wt% of solute in ferrite. It also calculates the effective diffusivity which is proportional to the interface velocity of a precipitate considering a multicomponent system. The program should not be used for systems which contain more than one precipitate phase. This program uses MTDATA.
This package allows prediction of the elongation of irradiated steels, as a function of the chemical composition, heat treatment and irradiation and test parameters.
Fatigue Life Predictor for Steels (FLiPS) - uses an artificial neural network to predice the fatigue life for steels, based on their mechanical properties and test conditions.
Uses the the Gilmour et al.approximation but with an analytical treatment (for alpha formation under NPLE mechanism) of the soft impingement problem in Fe-C-X alloys.
Calculates probability of an allotriomorph of ferrite which nucleates at an austenite grain boundary having a good-fit orientation relationship with both of the adjacent austenite grain, and the resulting crystallographic texture.
Simulates the contribution to room temperature, static yield strength of the Peierls stress, substitutional and interstitial solid solution strengthening, precipitate-related strengthening, grain size strengthening and work hardening. It then predicts the evolution of yield stress for a given strain rate (i.e. the flow stress) at a specified temperature.
To calculate the domain of steels and processing which can lead to the same combination of ultimate tensile strength and elongation in hot-rolled steels.
Simulation of the thermal desorption spectrum of hydrogen in ferrite, acconting for both diffusion and trapping phenomena. The model is capable of treating more than one trap.
Estimation of total elongation of irradiated austenitic stainless steels under tensile testing as a function of irradiation conditions (overall damage (dpa), He production, irradiation temperature) and tensile test temperature.
Estimation of yield stress of irradiated austenitic stainless steels under tensile testing as a function of irradiation conditions (overall damage (dpa), He production, irradiation temperature) and tensile test temperature.
To estimate the change in ductile-to-brittle transition temperature under Charpy testing of irradiated reduced activation ferritic/martensitic steel as a function of irradiation conditions.
Estimation of yield stress of irradiated reduced activation ferritic/martensitic (RAFM) steels under tensile testing as a function of irradiation conditions (overall damage (dpa), He production, irradiation temperature) and tensile test temperature.
Calculates free energy of mixing, configurational enthropy of mixing, enthalpy of mixing, and structural interfacial energy in mechanical alloying as functions of concentration, particle size and temperature.
To calculate the kinetics of the diffusion-controlled precipitation of carbides (taking capillarity effects into account), with particular reference to the carbides in secondary hardening steels (Fe-Mo-C steel). It is assumed that the first carbide to form is cementite.
Calculates the molar free energy of an alloy as both austenite and ferrite and to calculate the molar driving force for the transformation of the former to the latter. This program must be used with MTDATA
Estimates the M Stemperature of alloy steels as a function of the chemical composition and prior austenite grain size, using a Bayesian neural network model.
Simple program in C which implements empirical equations for martensite start temperature, and then calculates the average and standard deviation of the best 9 models (Committee model).
A powerful suite of software for modelling of the thermodynamics and kinetics of solid-state transformations in steels. Calculates Widmanstatten, Bainite and Martensite start temperatures.This program is to be used with MTDATA.
A powerful suite of software for modelling of the thermodynamics and kinetics of solid-state transformations in steels. Calculates Widmanstatten, Bainite and Martensite start temperatures.This program is to be used with MTDATA.
A powerful suite of software for modelling the thermodynamics and kinetics of solid-state transformations in steels containing Fe, C, Si, Mn, Ni, Mo, Cr and V.
MUCG46 has been enhanced in order to calculate martensite-start temperature including the effect of austenite grain size, stress and plastic strain in the austenite prior to its transformation.
To model the partitioning of carbon from a supersaturated ferrite plate into the adjacent residual austenite. The model uses a standard finite difference solution.
Isothermal austenite-to-pearlite transformation modelled using a neural network technique within a Bayesian framework. The growth rate of pearlite can be represented as a general empirical function of variables such as Mn, Cr, Ni, Si and Mo alloying contents and temperature which are of great important for the pearlite growth mechanisms.
Program to produce a deformation-mechanism map which shows the field of stress, temperature and strain-rate over which each mechanism is dominant in PM2000 ODS alloy.
Consider a polycrystalline material containing a random distribution of 10,000 grains, each with a cubic lattice. This program permits the calculation of the fraction of grains which have a specific orientation relative to an external frame of reference.
A program for the estimation of the reduction of area (%) of mild steels as a function of elemental composition, heat and mechanical treatments and grain size.
To calculate the distribution of forces and stresses during rolling contact of to rigid, parallel and flat cylinders assuming Hertzian contact between the mating surfaces under various conditions of slip. To estimate the magnitude and distribution of normal and tangential forces acting over the Hertzian contact half-width and subsequently calculates the tangential, normal and shear stresses under plane strain condition. A range of stress distribution from perfect rolling to perfect sliding between mating cylinders can be calculated.
Calculates the overall transformation kinetics of phases precipitating under diffusion controlled growth, with particular reference to the precipitation in power plant steels.
Estimation of the evolution of hardness (Vickers) during tempering of steel at the range of temperatures in which only diffusion of carbon and precipitation of carbides occur, without any recovery or recrystallisation.
Calculation of the coordinate transformation matrices required to produce a biased distribution of austenite grains, i.e., textured austenite, for example the Goss or Copper textures. A biased (non-random) crystallographic distribution of austenite grains.
Calculation of habit plane, shape deformation and orientation relationship between austenite and martensite or bainite, as a function of the correspondence matrix and the lattice invariant deformation.
Topology of deformation of a non-uniform distribution of grains, permitting calculation of grain surface and edge as a function of strain for a variety of deformation modes.
To predict the carbon content in retained austenite and volume fraction of retained austenite in cold-rolled TRIP-assisted steel as a function of the chemical composition and the heat treatment parameters.
The recrystallisation behaviour of PM2000 oxide dispersion strengthened ferritic alloy has been investigated for samples which were cold deformed after extrusion. This program deals with the evolution of the recrystallisation temperature T R, defined as the minimum temperature at which the sample begins to recrystallise during heat treatment for one hour, as a function of the level of deformation and the heating rate.
Calculation of transformation strain and crystallographic orientation of the 24 variants of martensite or bainite that form in a singel grain of austenite in an arbitrary orientation.
A program for the calculation of texture change due to twinning and true strain from twinning, as a function of twinning volume fraction, texture type and its intensity.
A program for the estimation of wear volume loss during dry sliding wear of steel against steel contact in a pin-on-disc wear testing machine as a function of a wide number of input variables like chemical composition (C, and rest of the elements as Ceq-C; Ceq: Carbon equivalent), volume fraction of different microstructural phases like bainite, martensite and retained austenite, pin hardness, the Hollomon Jaffe parameter, disc hardness, working temperature, speed, force and distance slid.
Calculation of the yield and ultimate tensile strengths, elongation and Charpy toughness of ferritic steel welds made using arc welding. The inputs are chemical composition and welding conditions.
Models the simultaneous transformation of allotriomorphic and Widmanstatten ferrite in a steel weld. Predicts values for the volume fractions of the different microstructures after cooling.
Calculates the one-dimensional parabolic thickening rate constant for diffusion-controlled growth of austenite from a mixture of bainitic ferrite and austenite.