scholarly journals Error evaluation on experimental stress–strain curve obtained from tube bulging test

2011 ◽  
Vol 49 (10) ◽  
pp. 1217-1224 ◽  
Author(s):  
Abdel Hakim Ben Ouirane ◽  
Nathalie Boudeau ◽  
Raphaël Velasco ◽  
Gérard Michel
Keyword(s):  
Strain Curve ◽  
Experimental Stress ◽  
Error Evaluation ◽  
Stress Strain Curve ◽  
Stress Strain ◽  
Bulging Test ◽  
Tube Bulging

scholarly journals Error evaluation on experimental stress-strain curve obtained from tube bulging test

2010 ◽  
Vol 3 (S1) ◽  
pp. 195-198
Author(s):  
Abdel Hakim Ben Ouirane ◽  
Raphaël Velasco ◽  
Gérard Michel ◽  
Nathalie Boudeau
Keyword(s):  
Strain Curve ◽  
Experimental Stress ◽  
Error Evaluation ◽  
Stress Strain Curve ◽  
Stress Strain ◽  
Bulging Test ◽  
Tube Bulging

scholarly journals Constitutive Model of 30CrMoA Steel with Strain Correction

Metals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1214
Author(s):  
Song Zhang ◽  
Xuedao Shu ◽  
Jitai Wang ◽  
Yingxiang Xia
Keyword(s):  
Flow Stress ◽  
Constitutive Model ◽  
High Speed ◽  
Strain Curve ◽  
Material Constant ◽  
Test Machine ◽  
Experimental Stress ◽  
High Speed Train ◽  
Stress Strain Curve ◽  
Stress Strain

It is necessary to establish a constitutive model of 30CrMoA steel to optimize the forming shape and mechanical properties of high-speed train axles. The experimental stress–strain curve of 30CrMoA steel was obtained by an isothermal compression test on a Gleeble-3500 thermal simulation test machine under temperature of 1273~1423 K and strain rate of 0.01~10 s−1. Considering the effect of strain on the material constant, an empirical constitutive model was proposed with strain correction for 30CrMoA steel. In addition, the material constant in the constitutive model is determined by linear regression analysis of the experimental stress–strain curve. Comparing the theoretical value and experimental value of flow stress, the correlation R is 0.9828 and the average relative error (ARRE) is 4.652%. The constitutive model of 30CrMoA steel with strain correction can reasonably predict the flow stress under various conditions. The results provide an effective numerical tool for further study on accurate near-net forming of high-speed train axles.

scholarly journals Stress-strain model for prestressing steel with cyclic loading

1978 ◽  
Vol 11 (4) ◽  
pp. 209-218
Author(s):  
K. J. Thompson ◽  
R. Park
Keyword(s):  
Steel Wire ◽  
Strain Curve ◽  
Cyclic Stress ◽  
Experimental Stress ◽  
Stress Strain Curve ◽  
Stress Strain ◽  
Prestressing Steel ◽  
Strain Behaviour ◽  
Strain Model ◽  
Previous Loading

Experimental stress-strain curves for repeated tensile loading of
 0.276 in (7 mm) diameter prestressing steel wire in the inelastic range
are presented. A mathematical model employing a modified form of the Ramberg-Osgood function is proposed to describe the cyclic stress-strain behaviour of the prestressing steel. The experimental stress-strain
results are subjected to regression analysis in order to obtain empirical expressions for the constants in the Ramberg-Osgood function. The constants are found to depend on the strain imposed in the previous loading run and the characteristics of the monotonic stress-strain curve. The stress- strain curve for monotonic loading, with suitably adjusted origin of coordinates in the case of significant reversed loads, is used to describe the envelope curve which the steel stresses cannot exceed. The proposed cyclic stress-strain model predicted the experimental curves with good accuracy.

scholarly journals Experimental and numerical evaluation of resilience and toughness in AISI 1015 steel welded plates

2019 ◽  
pp. 62-75
Author(s):  
Pavel Michel Zaldivar-Almaguer ◽  
Roberto Andrés Estrada-Cingualbres ◽  
Roberto Pérez-Rodríguez ◽  
Arturo Molina-Gutiérrez
Keyword(s):  
Numerical Simulation ◽  
Tensile Test ◽  
Numerical Evaluation ◽  
Mechanical Characterization ◽  
Welded Joint ◽  
Strain Curve ◽  
Experimental Stress ◽  
Stress Strain Curve ◽  
Stress Strain

The mechanical characterization of the engineering materials is always a topic of interest to engineers and researchers. The objective of this work is to study the butt welded joint resilience and toughness by means of the tensile test and the numerical simulation. The specimens were fabricated by welding two plates of AISI 1015 steel with an E6013 electrode. An algorithm of the numerical integration based on the trapezoid method that allowed calculating the resilience and toughness as the area under the stress - strain curve was implemented. The algorithm was validated by comparing the numerical results of the resilience with those obtained by the analytical method. The results show that the resilience and the toughness values computed with the experimental stress - strain curve, they have correspondence with the same values calculated with the numerical simulation.

A modified version of MATLAB application window for predicting the weld bead profile and stress–strain plot of AA5052 CMT weldment using ER4043

SIMULATION ◽  
2021 ◽  
pp. 003754972110315
Author(s):  
B Girinath ◽  
N Siva Shanmugam
Keyword(s):  
Strain Curve ◽  
Weld Bead ◽  
Welding Parameters ◽  
Bead Geometry ◽  
Hybrid Technique ◽  
Stress Strain Curve ◽  
Stress Strain ◽  
Weld Bead Geometry ◽  
Inference System ◽  
Engineering Stress

The present study deals with the extended version of our previous research work. In this article, for predicting the entire weld bead geometry and engineering stress–strain curve of the cold metal transfer (CMT) weldment, a MATLAB based application window (second version) is developed with certain modifications. In the first version, for predicting the entire weld bead geometry, apart from weld bead characteristics, x and y coordinates (24 from each) of the extracted points are considered. Finally, in the first version, 53 output values (five for weld bead characteristics and 48 for x and y coordinates) are predicted using both multiple regression analysis (MRA) and adaptive neuro fuzzy inference system (ANFIS) technique to get an idea related to the complete weld bead geometry without performing the actual welding process. The obtained weld bead shapes using both the techniques are compared with the experimentally obtained bead shapes. Based on the results obtained from the first version and the knowledge acquired from literature, the complete shape of weld bead obtained using ANFIS is in good agreement with the experimentally obtained weld bead shape. This motivated us to adopt a hybrid technique known as ANFIS (combined artificial neural network and fuzzy features) alone in this paper for predicting the weld bead shape and engineering stress–strain curve of the welded joint. In the present study, an attempt is made to evaluate the accuracy of the prediction when the number of trials is reduced to half and increasing the number of data points from the macrograph to twice. Complete weld bead geometry and the engineering stress–strain curves were predicted against the input welding parameters (welding current and welding speed), fed by the user in the MATLAB application window. Finally, the entire weld bead geometries were predicted by both the first and the second version are compared and validated with the experimentally obtained weld bead shapes. The similar procedure was followed for predicting the engineering stress–strain curve to compare with experimental outcomes.

Stress-strain curve of paper revisited

2012 ◽  
Vol 27 (2) ◽  
pp. 318-328 ◽  
Author(s):  
Svetlana Borodulina ◽  
Artem Kulachenko ◽  
Mikael Nygårds ◽  
Sylvain Galland
Keyword(s):  
Three Dimensional ◽  
Strain Curve ◽  
Failure Behavior ◽  
Three Dimensional Model ◽  
Stress Strain Curve ◽  
Stress Strain ◽  
Fiber Network ◽  
Bonding Parameters ◽  
Particle Level ◽  
The Impact

Abstract We have investigated a relation between micromechanical processes and the stress-strain curve of a dry fiber network during tensile loading. By using a detailed particle-level simulation tool we investigate, among other things, the impact of “non-traditional” bonding parameters, such as compliance of bonding regions, work of separation and the actual number of effective bonds. This is probably the first three-dimensional model which is capable of simulating the fracture process of paper accounting for nonlinearities at the fiber level and bond failures. The failure behavior of the network considered in the study could be changed significantly by relatively small changes in bond strength, as compared to the scatter in bonding data found in the literature. We have identified that compliance of the bonding regions has a significant impact on network strength. By comparing networks with weak and strong bonds, we concluded that large local strains are the precursors of bond failures and not the other way around.

Definition of the yield point in plasticity and its effect on the shape of the yield locus

1966 ◽  
Vol 1 (4) ◽  
pp. 331-338 ◽  
Author(s):  
T C Hsu
Keyword(s):  
Yield Point ◽  
Experimental Work ◽  
Strain Curve ◽  
Yield Locus ◽  
Experimental Results ◽  
Stress Strain Curve ◽  
Proportional Limit ◽  
Stress Strain ◽  
Small Section ◽  
Definition Of

Three different definitions of the yield point have been used in experimental work on the yield locus: proportional limit, proof strain and the ‘yield point’ by backward extrapolation. The theoretical implications of the ‘yield point’ by backward extrapolation are examined in an analysis of the loading and re-loading stress paths. It is shown, in connection with experimental results by Miastkowski and Szczepinski, that the proportional limit found by inspection is in fact a point located by backward extrapolation based on a small section of the stress-strain curve, near the elastic portion of the curve. The effect of different definitions of the yield point on the shape of the yield locus and some considerations for the choice between them are discussed.

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