CoChat
Sign Up
Cited by 34Metallurgy and Material FormingMetal Forming Simulation TechniquesHigh-Velocity Impact and Material Behavior

The DOI matches its Crossref record.

A Study on Flow Behavior of AA5086 Over a Wide Range of Temperatures

Asgharzadeh, A., Jamshidi Aval, H., Serajzadeh, S.·2016·Journal of Materials Engineering and Performance
DOI 10.1007/s11665-016-1927-5
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1007/s11665-016-1927-5

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 40

  1. D. Park and J.G. Morris, The Tensile Deformation Behavior of AA3004 Aluminum Alloy, Metall. Mater. Trans. A, 1994, 25, p 357–364 · DOI
  2. N.Q. Chinh, F. Csikor, Z. Kovacs, and J. Lendvai, Critical Concentration of Mg Addition for Plastic Instabilities in Al-Mg Alloys, J. Mater. Res., 2000, 15, p 1037–1040 · DOI
  3. W. Wen, Y. Zhao, and J.G. Morris, The Effect of Mg Precipitation on the Mechanical Properties of 5xxx Aluminum Alloys, Mater. Sci. Eng. A, 2005, 392, p 136–144 · DOI
  4. P.G. McCormick, The Portevin-Le Chatelier Effect in an Al-Mg-Si Alloy, Acta Metall., 1971, 19, p 463–471 · DOI
  5. J.M. Akhgar and S. Serajzadeh, Flow Behavior and Mechanical Properties of a High Silicon Steel Associated with Dynamic Strain Aging, J. Mater. Eng. Perform., 2012, 21, p 1919–1923 · DOI
  6. K.G. Samuel, S.L. Mannan, and P. Rodriguez, Serrated Yielding in AISI, 316 Stainless Steel, Acta Metall., 1988, 36, p 2323–2327 · DOI
  7. K. Peng, W. Chen, and K. Qian, Study on Dynamic Strain Aging Phenomenon of 3004 Aluminum Alloy, Mater. Sci. Eng. A, 2006, 415, p 53–58 · DOI
  8. Y.C. Lin, Q.F. Li, Y.C. Xia, and L.T. Li, A Phenomenological Constitutive Model for High Temperature Flow Stress Prediction of Al-Cu-Mg Alloy, Mater. Sci. Eng. A, 2012, 534, p 654–662 · DOI
  9. E.A. El-Danaf, A.A. AlMajid, and M.S. Soliman, Hot Deformation of AA6082-T4 Aluminum Alloy, J. Mater. Sci., 2008, 43, p 6324–6330 · DOI
  10. M. Gang, L. Bolong, L. Hongmei, H. Hui, and N. Zuoren, Hot Deformation Behavior of an Al-5.7 wt%Mg Alloy with Erbium, Mater. Sci. Eng. A, 2009, 516, p 131–137 · DOI
  11. H. Zhang, L. Li, D. Yuan, and D. Peng, Hot Deformation Behavior of the New Al-Mg-Si-Cu Aluminum Alloy During Compression at Elevated Temperatures, Mater. Charact., 2007, 58, p 168–173 · DOI
  12. H.J. McQueen, E. Fry, and J. Belling, Comparative Constitutive Constants for Hot Working of Al-4.4Mg-0.7Mn (AA5083), J. Mater. Eng. Perform., 2001, 10, p 164–172 · DOI
  13. A.K. Gupta, S.K. Singh, S. Reddy, and G. Hariharan, Prediction of Flow Stress in Dynamic Strain Aging Regime of Austenitic Stainless Steel 316 Using Artificial Neural Network, Mater. Des., 2012, 35, p 589–595 · DOI
  14. H. Sheikh and S. Serajzadeh, Estimation of Flow Stress Behavior of AA5083 Using Artificial Neural Networks with Regard to Dynamic Strain Ageing Effect, J. Mater. Process. Technol., 2008, 196, p 115–119 · DOI
  15. A. Sarkar and J.K. Chakravartty, Prediction of Flow Stress in Cadmium Using Constitutive Equation and Artificial Neural Network Approach, J. Mater. Eng. Perform., 2013, 22, p 2982–2989 · DOI
  16. G. Ji, F. Li, Q. Li, H. Li, and Z. Li, A Comparative Study on Arrhenius-Type Constitutive Model and Artificial Neural Network Model to Predict High-Temperature Deformation Behavior in Aermet100 Steel, Mater. Sci. Eng. A, 2011, 528, p 4774–4782 · DOI
  17. I.S. Jalham, Modeling Capability of the Artificial Neural Network (ANN) to Predict the Effect of the Hot Deformation Parameters on the Strength of Al-base Metal Matrix Composites, Compos. Sci. Technol., 2003, 63, p 63–67 · DOI
  18. N.S. Reddy, Y.H. Lee, C.H. Park, and C.S. Lee, Prediction of Flow Stress in Ti-6Al-4 V Alloy with an Equiaxed α + β Microstructure by Artificial Neural Networks, Mater. Sci. Eng. A, 2008, 492, p 276–282 · DOI
  19. Y.C. Lin, J. Zhang, and J. Zhong, Application of Neural Networks to Predict the Elevated Temperature Flow Behavior of a Low Alloy Steel, Comput. Mater. Sci., 2008, 43, p 752–758 · DOI
  20. G. Ji, F. Li, Q. Li, H. Li, and Z. Li, Prediction of the Hot Deformation Behavior for Aermet100 Steel Using an Artificial Neural Network, Comput. Mater. Sci., 2010, 48, p 626–632 · DOI
  21. S. Zhichao, Y. He, and T. Ze, Microstructural Evolution Model of TA15 Titanium Alloy Based on BP Neural Network Method and Application in Isothermal Deformation, Comput. Mater. Sci., 2010, 50, p 308–318 · DOI
  22. Y. Sun, W. Zeng, Y. Han, X. Ma, Y. Zhao, P. Guo, G. Wang, and M.S. Dargusch, Determination of the Influence of Processing Parameters on the Mechanical Properties of the Ti-6Al-4V alloy Using an Artificial Neural Network, Comput. Mater. Sci., 2012, 60, p 239–244 · DOI
  23. R.H. Wu, J.T. Liu, H.B. Chang, T.Y. Hsu, and X.Y. Ruan, Prediction of the Flow Stress of 0.4C-1.9Cr-1.5Mn-1.0Ni-0.2Mo Steel During Hot Deformation, J. Mater. Process. Technol., 2001, 116, p 211–218 · DOI
  24. C. Chen, H. Yin, I.S. Humail, Y. Wang, and X. Qu, A Comparative Study of a Back Propagation Artificial Neural Network and A Zerilli-Armstrong Model for Pure Molybdenum During Hot Deformation, Int. J. Refract. Met. H., 2007, 25, p 411–416 · DOI
  25. G.B. Huang, Q.Y. Zhu, and C.K. Siew, Extreme Learning Machine: Theory and Applications, Neurocomputing, 2006, 70, p 489–501 · DOI · Paper page
  26. S. Mandal, P.V. Sivaprasad, S. Venugopal, and K.P.N. Murthy, Artificial Neural Network Modeling to Evaluate and Predict the Deformation Behavior of Stainless Steel Type AISI, 304L During Hot Torsion, Appl. Soft Comput., 2009, 9, p 237–244 · DOI
  27. H. Zhang, G.Y. Lin, D.S. Peng, L.B. Yang, and Q.Q. Lin, Dynamic and Static Softening Behaviors of Aluminum Alloys During Multistage Hot Deformation, J. Mater. Process. Technol., 2004, 148, p 245–249 · DOI
  28. N. Jin, H. Zhang, Y. Han, W. Wu, and J. Chen, Hot Deformation Behavior of 7150 Aluminum Alloy During Compression at Elevated Temperature, Mater. Charact., 2009, 60, p 530–536 · DOI
  29. H.J. McQueen, Development of Dynamic Recrystallization Theory, Mater. Sci. Eng., A, 2004, 387–389, p 203–208 · DOI
  30. B. Dodd and Y. Bai, Ed., Adiabatic Shear Localization: Frontiers and Advances, 2nd ed., Elsevier, Amsterdam, 2012, p 153–154
  31. A. Van Den Beukel, Theory of the Effect of Dynamic Strain Aging on Mechanical Properties, Phys. Status Solidi A, 1975, 30, p 197–206 · DOI
  32. J.D. Baird, Inhomogeneities of Plastic Deformation, Ohio, ASM, 1973, p 144–157
  33. E. Pink and A. Grinberg, Stress Drops in Serrated Flow Curves of Al-5Mg, Acta Metall., 1982, 30, p 2153–2160 · DOI
  34. S. Yannacopoulos, S.O. Kasap, A. Hedayat, and A. Verma, An Experimental Study of Phase Transformations in an Al-Zn-Mg-Zr Alloy: DSC and Hot Microhardness Measurements, Can. Metall. Q., 1994, 33, p 51–60 · DOI
  35. P.G. McCormick, The Effect of Strain on the Ageing Time for Serrated Yielding in an Al-Mg-Si Alloy, Acta Metall., 1974, 22, p 489–493 · DOI
  36. A.J. Perry and K.M. Entwistle, Evidence for Association of Unlike Solute Atoms in Impure Aluminum-Copper Alloys, Scr. Metall., 1967, 1, p 89–92 · DOI
  37. Y.C. Lin and X.M. Chen, A Critical Review of Experimental Results and Constitutive Descriptions for Metals and Alloys in Hot Working, Mater. Des., 2011, 32, p 1733–1759 · DOI
  38. D.A. Porter, K.E. Easterling, and M.Y. Sherif, Phase Transformations in Metals and Alloys, 3rd ed., CRC Press, Washington, 2009, p 80–96
  39. R. Kaibyshev, O. Sitdikov, I. Mazurina, and D.R. Lesuer, Deformation Behavior of a 2219 Al Alloy, Mater. Sci. Eng. A, 2002, 334, p 104–113 · DOI
  40. D. Hull and D.J. Bacon, Introduction to Dislocations, 5th ed., Elsevier, Oxford, 2011, p 85–103 · DOI

Cited by

Sorted by citations

Metadata

Authors
Asgharzadeh, A., Jamshidi Aval, H., & Serajzadeh, S.
Affiliations
Sharif University of Technology (IR)
Corresponding author
Asgharzadeh, A.
ORCID
Venue
Journal of Materials Engineering and Performance
Publisher
Springer Science and Business Media LLC
Published
2016-02-02
Volume
25
Issue
3
Pages
1076-1084
ISSN
  • 1059-9495 (ISSN-L)
  • 1544-1024
DOI
10.1007/s11665-016-1927-5
OpenAlex
W2293284969
Cited by
34
References
0
Citations by year
2026: 6 · 2025: 1 · 2024: 6 · 2023: 3 · 2022: 1 · 2021: 7 · 2020: 1 · 2019: 3 · 2018: 3 · 2017: 3
FWCI
2.59
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
Journal of Materials Engineering and Performance (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanics of Materials › Metallurgy and Material Forming
  • Physical Sciences › Engineering › Mechanical Engineering › Metal Forming Simulation Techniques
  • Physical Sciences › Engineering › Mechanics of Materials › High-Velocity Impact and Material Behavior
Keywords
flow stress, dynamic strain aging, serrated flow, strain rate sensitivity, high-temperature deformation, hyperbolic sine constitutive model, activation energy, magnesium diffusion, dynamic recovery, artificial neural networks, flow stress prediction, fracture strain

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review