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Advances in Materials and Processing Technologies Volume 7, 2021 - Issue 3
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Research Article

Microstructural study and phenomenological modelling to predict high temperature deformation behaviour of high phosphorus steel

Vartika Guptaa Department of Mechanical Engineering, Bundelkhand Institute of Engineering and Technology, Jhansi, India
,
S. K. Rajputa Department of Mechanical Engineering, Bundelkhand Institute of Engineering and Technology, Jhansi, IndiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2875-2461
ORCID Icon &
Yashwant Mehtab Department of Metallurgical and Materials Engineering, National Institute of Technology, Srinagar, India
Pages 463-481 | Received 26 Feb 2019, Accepted 17 Jun 2020, Published online: 30 Jun 2020

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Pravesh Kumar Singh, S. K. Rajput & Sanjeev Kumar. (2022) Prediction of HAZ width and toughness of HY85 steel using artificial neural network. Advances in Materials and Processing Technologies 8:2, pages 1432-1446.
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K. S. Prasad, S. K. Panda, S. K. Kar, S. V. S. N. Murty & S. C. Sharma. (2022) Constitutive modelling and formability prediction of Inconel-718 sheet at elevated temperatures for space applications. Advances in Materials and Processing Technologies 8:1, pages 518-541.
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