Determination of parameters of a new method for predicting alloy properties



Publisher: National Aeronautics and Space Administration, Publisher: For sale by the National Technical Information Service in [Washington, DC, Springfield, Va

Written in English
Published: Downloads: 794
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Subjects:

  • Iron-nickel alloys.,
  • Iron-palladium alloys.

Edition Notes

StatementGuillermo Bozzolo and John Ferrante.
SeriesNASA technical memorandum -- 105895.
ContributionsFerrante, John, 1936-, United States. National Aeronautics and Space Administration.
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL14685610M

Alloy ultimate tensile strength has been improved by controlling these parameters, showing a reduction in time consumption during the thermal treatment. A relationship has been established between UTS, hardness, and time/temperature for ageing and retrogression regimes by multiple linear regression method. For optimized ageing. Al-Li results, data for a 65S aluminum alloy reported by Gahoon et al. [4] in either the strai n hardened or age hardened conditions are shown in Fig. 1. This alloy has a composition similar to the Al structural alloy where the increase in strength is . Information concerning solidification parameters of alloy steel such as fraction solid and dendrite coherency point is important to understanding the solidification phenomenon as well as for accurate modeling of melt flow in thinwalled castings and feeding efficiency during solidification. The literature presents several theoretical approaches for estimation of steel solidification parameters. There are available several computer models designed to predict the microstructures, mechanical properties, and distortion of steels as a function of thermal processing cycle. Their use is predicated on the availability of accurate and consistent thermal and transformation strain data. Strain, both thermal and transformation, developed during thermal cycling is the parameter .

Instead the property is determined from group-interaction parameters: = (), where P stands for property, and G ij for group-interaction value. A typical group-contribution method using group-interaction values is the UNIFAC method, which estimates activity coefficients. A big disadvantage of the group-interaction model is the need for many more model parameters.   Instrumented indentation has emerged as a versatile and practical means of extracting material properties, especially when it is difficult to obtain traditional stress–strain data from large tensile or bend coupon specimens. Accurately solving the inverse problem of depth-sensing indentation is critical for the determination of the elastoplastic properties of . In order to give guidance regarding the best investment of time and effort in experimental determination of parameters defining the casting process, a Flow-3D model of the casting process was used to investigate the most influential parameters regarding void fraction of the solidified rods and solidification speed for fluid flow parameters, liquid heat transfer parameters. this alloy are architectural members (i.e. glazing bars and window frames), windscreen sections and in road transport. The alloy is mainly used because of it’s good formability, corrosion resistance and it’s suitability for surface treatments. Tables and show the chemical composition and some material parameters of the alloy.

The paper presents a thermographic method of accelerated determination of the S - N curve. In the presented method, the S - N curve was developed based on energy-related parameter with the assumption of its dependency on the stress amplitude. The tests made on C45 steel and X5CrNi steel under reversed bending revealed that the S-N curve obtained Cited by: 5. In the present study, determination of tungsten inert gas (TIG) welding input parameters for achieving maximum tensile strength of L austenitic stainless steel is investigated. Box-Behnken design of response surface methodology has been employed to formulate the experimental plan to identify the effect of process parameters on tensile by: 3. hensive thermal properties database of most commercially available metals (Ref 15). Recommended Values of Thermophysical Properties for Selected Commercial Alloys by K.C. Mills. Experimental determination, estimation, and validation of the thermophy-sical properties in the solid and liquid states (Ref 16) Computer models based on first. In this study, a deterministic method was developed to predict localized corrosion damage functions for condensing heat exchangers. The method incorporated calculations for the composition of the condensed environment and the electrochemical corrosion potential (E[sub corr]) of the alloy and included mechanistic treatments of pit nucleation and.

Determination of parameters of a new method for predicting alloy properties Download PDF EPUB FB2

Get this from a library. Determination of parameters of a new method for predicting alloy properties. [Guillermo Bozzolo; John Ferrante; United. Recently, a semiempirical method for alloys based on equivalent crystal theory was introduced.

The method successfully predicts the concentration dependence of the heat of formation and lattice parameter of binary : John Ferrante and Guillermo Bozzolo. A new method on estimating fatigue properties from simple tensile data was proposed for aluminum alloys.

The method is based on experimental strain-life curves. An optimization technique was used to get the best fatigue by: ; 19(1) Prediction of Mechanical Properties of AlSi13Cu2Fe Alloy Using the ATND Methods 2. Experimental procedure The AlSi13Cu2Fe alloy is classified as a multi-component alloy used in the foundry industry.

This alloy is graded as a near eutectic alloy (silicon, as the alloying element is present in a quantity near to eutectic).Author: Jacek Pezda. The object of this study is to investigate the general nature of the influence of deformation temperature, strain rate, inter-pass delay time and deformation degree on the metadynamic recrystallization behaviors of aluminum alloy.

A new method to describe the softening behaviors of aluminum alloy was proposed, and the kinetics equations were developed to predict metadynamic recrystallization fractions in the hot deformed aluminum by: Leading from this correlation, a new method is proposed to generate stress factors directly from simple mechanical properties.

With this method it is possible to predict the biaxial, plane strain and shear points accurately using only tensile test data, notably tensile strength, uniform elongation and the plastic anisotropy r-value measured at 0°, 45° and 90° to the rolling by: 7.

The load–deflection curve acquired from the Small Punch Test (SPT) is used to obtain the mechanical properties of materials using different correlation methods. The scattering level of these regressions tends to be high when a wide set of materials is analyzed.

In this study, a correlation method based on a specific slope of the SPT curve was proposed to reduce Cited by: 2. Fig. Curves of the ATD method for EN AB alloy In the Table 1 are listed parameters of heat treatment operations for three stage plan of the testing with four variables, on base of this plan there was determined an effect of temperatures, durations of solutioning and ageing treatments on tensile strength R m, elongation A 5, impact.

Prediction of Transport and Other Physical Properties of Fluids reviews general methods for predicting the transport and other physical properties of fluids such as gases and liquids. Topics covered range from the theory of corresponding states and methods for estimating the surface tension of liquids to some basic concepts of the kinetic Book Edition: 1.

Returning to Eq. 1, the parameters P1 to P7 can be deter-mined for a given metal by least squares fitting to measure-ments.

The Wc term is a function of temperature chosen em-pirically to improve the accuracy of the fits. The parameters determined for pure aluminium [2] are given in Table I.

Fits using these parameters were then com. The determination of the superplastic properties of a metallic sheet material is important for the observation, development and comparison of superplastic materials. It is also necessary to predict the correct forming parameters during an SPF process.

SPF tensile testing has peculiar characteristics compared to conventional mechanical testing, which distort the true values of. An artificial neural network (ANN) model with a back-propagation (BP) algorithm was used to predict mechanical properties of A alloy, and the effects of heat treatment processes on mechanical behavior of this alloy were studied.

Experimental determination and theoretical calculation of the FLD. One of the most important factors for prediction of FLD through the M-K analysis is the applied constitutive yield model. Fig presents the experimental and numerical forming limits for Ti-6Al-4V titanium alloy.

For numerical analysis, yield surfaces were described by Hill93 Cited by: 5. Specifically, they introduced a new parameter DlogD, which is the difference between the logarithm of the distribution coefficient of the neutral form at pH = (intestine) versus pH = (blood) for an ionizable species.

The purpose of this descriptor was to account for the apparent higher bioavailability observed for many acidic by: 1. Determination of design parameters for rock should take into consideration the in-situ rock properties (condition of the rock mass), which are generally controlled by the discontinuities within the rock mass and not the properties of the intact material.

Precipitation-hardened aluminum alloys gain their high strength through heat treatment involving a severe quenching operation, which can have the adverse effect of introducing residual stresses.

The finite element code ABAQUS is used to simulate the quenching of aluminum alloy in an attempt to predict the residual stress distribution that develops Cited by: Evaluated of Mechanical Properties for Aluminum Alloy Using Taguchi Method have been tested and the results have been designed by Taguchi method to predict the The process parameters which a key role in deciding this study, were three tempering temperature (,) oC, three time holding (1,2,3)hr, Author: Sahira Hassan Ibrahim, Sahar Hussein Ahmed, Iman Ahmed Hameed.

The Hollomon parameter is determined and shown to be applicable to alloys, the structure and properties of which after changing the temperature and time of the heat treatment is determined by diffusion of metal atoms in a substitutional solid : A.

Adaskin, V. Butrim, L. Kremnev, V. Kubatkin, I. Sapronov. A new method of determination of C parameter of Larson-Miller equation was introduced. For 15CrMo steel, the optimal value of parameter C in the equation was derived. The reliability of the. Jun 3rd - 5thBrno, Czech Republic, EU PROPERTIES OF AL ALLOY CASTINGS PRODUCED BY RHEOCASTING METHOD SEED MEASURED BY INDENTATION BRYKSÍ STUNOVÁ Barbora 1, BRYKSÍ Vlastimil2, PUCHNIN Maxim3 1CTU in Prague, Faculty of Mechanical Engineering, Dept.

of Size: KB. The aim of this study is to identify the Johnson–Cook (J–C) material model parameters, the accurate Johnson–Cook (J–C) damage parameters, D 1, D 2, and D 3 of the Al T alloy for finite element analysis-based simulation techniques, together with other damage parameters, D Cited by: 1.

effective on the permeability of granular soils, the training and testing databases have similar gradations. Materials and Methods. The conceived ANFIS comprises following input parameters: a)model 10 (the D diameter which finer material is equal to 10% of the total by weight), D 60 (the b).

Determination of Solidification Parameters Used for the Prediction of the Thixoformability of Several Steel Alloys p Design and Production of New Aluminum Thixotropic Alloys for the Manufacture of Structural Components by Semisolid Die CastingCited by: 7.

Artificial Neural Network (ANN) approach was used for predicting and analyzing the mechanical properties of A aluminum alloy produced by squeeze casting route. The experiments are carried out with different controlled input variables such as squeeze pressure, die preheating temperature, and melt temperature as per Full Factorial Design (FFD).

The accounted Cited by: 6. casting and solidification parameters without expensive experimental studies. The accuracy of forecast estimates in the simulation will be largely determined by the accuracy of the experimental determination or theoretical calculation of the thermo-physical properties of Author: V B Deev, O G Prihodko, E S Prusov, A I Kutsenko, Mei Shunqi, A A Aksenov, T A Bazlova.

A method is studied for determining the structure size interval of dynamic similar models of the isotropic sandwich plates. Firstly, a comparison between the two theories of plates, the Resineer theory and the Hoff theory, is conducted, including their governing equations and the ANSYS analytic solutions of frequency.

The Resineer theory is chosen as the basic theory of this Cited by: Experimental determination of material parameters [ ]cycle tests to predict thermal ratchetting 19 subjected to cyclic loading. The evolution law in these models consists of a kinematic hardening component which describes the translation of the yield surface in the stress space.

An isotropic component which describes the change ofFile Size: KB. Determining Solidification Parameters of Alloy Steels properties of solidified system both affect the cooling curve.

The interpretation methods discussed below can be method was also used for the determination of the DC in aluminum alloys through a minimum point on the secondFile Size: KB. Experimental determination and prediction of the mechanical properties of steel Materials Science & Engineering A () 47–52 Contents lists available at ScienceDirect Materials Science & Engineering A journal homepage: www.

These two values are lower than the reproducibility requirement of standard test methods for the MFR, and VAC, A new online method of NIR spectroscopy combined with PLS using angular spectra has been successfully established to simultaneously determine the chemical and physical properties of EVA pellets.

The book by Saunders and Miodownik gives a comprehensive overview of the CALPHAD method and its applications while the book by Lukas et al.

provides insight in the details of modeling using the CALPHAD method. The two editions of the SGTE casebooks provide an excellent collection of examples of the application of the CALPHAD method.Create a new account. Determination of Viscoelastic Properties of Soil and Prediction of Static and Dynamic Response The rheological stress–strain data obtained from the relaxation test of soil are used to evaluate the Prony series parameters employing the method of nonlinear curve fitting.

The optimized extraction of Prony series.The article presents a thermographic method of accelerated determination of the Wöhler’s curve. In the presented method, the Wöhler’s curve was developed based on energy-related parameter with the assumption of its dependency on the stress amplitude.

The tests made on T3 aluminum alloy under axial tension-compression loading (R=−1) revealed that the S Cited by: 3.