# a new mathematical model for predicting flow stress up to

### Application of constitutive and neural network models for

compared the prediction method of flow stress using the Zener−Holloman parameter and hyperbolic sine stress function with ANN model for T1 (W18Cr4V) high-speed steel. CHEN et al 16 compared the prediction method of flow stress using the Zerilli–Armstrong model and ANN model for pure molybdenum. Though ANN model

Get Price### (PDF) NEW MODEL PREDICTING FLOW CURVES IN WIDE RANGE

For the extruded state of the 6082 alloy the physically-based model was developed to reliably predict the flow stress influenced by dynamic softening temperature strain rate and true strain up

Get Price### Materials Free Full-Text Flow Stress Prediction and

A comparison of two models suggested that the BP-ANN model had excellent capabilities and was more accurate in predicting flow stress. Based on the microstructural analysis bending and elongation of colonies γ and B2 grains were the main microstructural constituents at

Get Price### A closed-form analytical model for predicting 3D boundary

Feb 16 2018 · Apparently the mathematical models presented herein as Eq. and Eq. does not reveal any viscous flow effect however the shear stress effect has been incorporated by this model at the choked flow condition through the predicted initial condition. The innovation of this model is that the real flow effects have been absorbed in the well-posed

Get Price### Comparison between EVM and RSM turbulence models in

A 3D analysis of two-equation eddy viscosity (EVMs) and Reynolds stress (RSM) turbulence models and their application to solve flow and heat transfer in rotating rib-roughened internal cooling channels is the main focus of this study. The flow in these channels is affected by ribs rotation buoyancy bends and boundary conditions.

Get Price### Special Issue "Viscoelasticity Mathematical Modeling

The main advantage is the capacity to predict all flow fields for low intermediate and high friction Reynolds numbers up to high drag reduction without friction velocity dependence. Full article (This article belongs to the Special Issue Viscoelasticity Mathematical Modeling Numerical Simulations and Experimental Work )

Get Price### Predictive Model for Wall-Bounded Turbulent Flow Science

For high-Re wall-bounded flows this also requires a near-wall model to account for the relationship between the wall shear stress and the outer-layer flow . This current work aims to improve our understanding of this complex interaction offering a simple mathematical model that can accurately predict near-wall turbulent statistics based only

Get Price### A new mathematical model for predicting flow stress up to

Jan 01 2015 · By considering the linear relationship between work-hardening rate and stress a new mathematical model was proposed for predicting flow stress up to the critical strain during hot deformation. This model is expressed in terms of critical strain critical stress and saturation stress.

Get Price### On predicting the turbulence‐induced secondary flows using

Jun 04 1998 · Low turbulent Reynolds number direct simulation data are used to calculate the invariants of the Reynolds stress and the turbulent dissipation rate in a square duct. The results show that depending on the region where the analysis is carried out the turbulent flow field comes close to one‐ two‐ and three‐component states. Modeling such flows—even at higher Reynolds numbers—will

Get Price### Turbulence modelingWikipedia

Turbulence modeling is the construction and use of a mathematical model to predict the effects of turbulence.Turbulent flows are commonplace in most real life scenarios including the flow of blood through the cardiovascular system the airflow over an aircraft wing the re-entry of space vehicles besides others. In spite of decades of research there is no analytical theory to predict the

Get Price### FLO/STRESS an integrated software module to predict

The detailed model of The stress-free temperature for all materials was the package test b a r d was mounted in a assumed to be 17OOC in this analysis being the cure computational wind tunnel of cross-sectional area (50.8 Fig. 5 shows the results from this analysis for air-flow numerical simulations such as the one illustrated in

Get Price### Modelling of Flow Stress and Prediction of Workability by

simulation filled the gap between the mathematical model-ing and real world application of metals. Lin et al. estab-lished a constitutive relation between processing parameters to predict the flow stress behavior of 42CrMo steel.3) Hase et al. investigated the effect of initial grain size during warm

Get Price### A new model for predicting the drag exerted by vegetation

Mar 11 2017 · Thus by analogy to a wall‐confined flow we can explain the drag enhancement observed within canopies. Guided by this analogy in the following section we develop a new model for predicting canopy drag coefficients that accounts for blockage effects and compare these predictions to the model results. 5.2 A New Model for Canopy Drag

Get Price### Predicting turbulent flows in butterfly valves with the

Aug 10 2020 · The development of turbulence modeling is crucial for the numerical prediction of the flow behavior especially for separation stagnation reattachment recirculation and streamline curvature of the flow through complex structures. In this study the capability of turbulence models was estimated for predicting the flow in a butterfly valve.

Get Price### A Logistic Model Predicting Occurrence Probability of

Keywords Debris Flow Logistic Regression Occurrence Probability 1. Introduction This paper introduces a new logistic model for predicting the occurrence probability of debris flow. The two predictors (or independent variables) used in the model are rainfall intensity and duration. The model that can estimate the

Get Price### Mathematical Modeling of Single Peak Dynamic

some previous mathematical models and basic co ncepts in relation with dominate processes during hot deformation of metals and alloys such as dynamic recovery (DRV) and dynamic recrystallization (DRX) will be reviewed and finally by concluding from existing mathematical models related to prediction of single peak flow stress curves a new model

Get Price### A New Mathematical Model for Pressure Transient Analysis

In this paper according to the permeability-pressure relationship described by a power function instead of the popularly used exponential function a new mathematical model for transient fluid flow in stress-sensitive reservoirs is established.

Get Price### A New Mathematical Model for Pressure Transient Analysis

In this paper according to the permeability-pressure relationship described by a power function instead of the popularly used exponential function a new mathematical model for transient fluid flow in stress-sensitive reservoirs is established.

Get Price### AnIntroductiontoMathematicalModelling

One division between models is based on the type of outcome they predict. Deterministic models ignore random variation and so always predict the same outcome from a given starting point. On the other hand the model may be more statistical in nature and so may predict the distribution of possible outcomes. Such models are said to be stochastic. 1

Get Price### A new mathematical model for predicting flow stress of

Jun 12 2015 · A new flow stress model was established. The linear and exponential relationship methods were applied to the parameters with respect to temperature and deformation rates. The rise of curve ends under certain conditions was analyzed. The flow stress of X70HD steel predicted by the proposed model agrees well with the experimental results.

Get Price### A new mathematical model for predicting flow stress of

Mar 01 2010 · Based on the measured flow stress data a new constitutive model has been developed to predict stress–strain curve up to the peak stress. The validity of predicted stress–strain curves from the developed constitutive models is discussed. 2.

Get Price### Special Issue "Viscoelasticity Mathematical Modeling

The main advantage is the capacity to predict all flow fields for low intermediate and high friction Reynolds numbers up to high drag reduction without friction velocity dependence. Full article (This article belongs to the Special Issue Viscoelasticity Mathematical Modeling Numerical Simulations and Experimental Work )

Get Price### MATHEMATICAL MODELLING OF BLOOD FLOW IN THE

The focus will be on mathematical models that explain and predict carotid artery blood flow and how variations in wall shear stress are associated with the development of atherosclerotic lesions.

Get Price### A new model for predicting the drag exerted by vegetation

Mar 11 2017 · Thus by analogy to a wall‐confined flow we can explain the drag enhancement observed within canopies. Guided by this analogy in the following section we develop a new model for predicting canopy drag coefficients that accounts for blockage effects and compare these predictions to the model results. 5.2 A New Model for Canopy Drag

Get Price### MIT Mathematics Traffic Modeling

The models are purely deterministic. All drivers behave according to the same laws and fully predictably. The considered traffic models predict a nice uniform traffic flow at low traffic densities. However above a critical threshold density (that depends on the model parameters) the flow becomes unstable and small perturbations amplify.

Get Price### (PDF) FLOW STRESS PREDICTION OF AUSTENITIC STAINLESS STEEL

In this paper a comparative study has been made on the capability of Johnson Cook (JC) model and the Artificial Neural Networks (ANN) model for representing the flow stress prediction at elevated

Get Price### (PDF) FLOW STRESS PREDICTION OF AUSTENITIC STAINLESS STEEL

In this paper a comparative study has been made on the capability of Johnson Cook (JC) model and the Artificial Neural Networks (ANN) model for representing the flow stress prediction at elevated

Get Price### An approximate model for predicting roll force in rod

This paper presents a study of the effect of rolling temperature roll gap (pass height) initial specimen size and steel grades of specimens on the roll force in round-oval-round pass sequence by applying approximate method and verifications through single stand pilot rod rolling tests. The results show that the predicted roll forces are in good agreement with the experimentally measured ones.

Get Price### A New Formula for Predicting the Fraction of Delivered

RESULTS When the O 2 flow and/or T I /T tot increased the F DO 2 increased. When the minute ventilation increased the F DO 2 decreased. The results of the Bland-Altman method for the F DO 2 calculated by using our mathematical model and the measured F DO 2 showed that the mean ± SD bias value was equal to 1.49 ± 0.84 and the limits of agreement ranged from −0.17 to 3.14 .

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