State of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals

Materials engineering and science rely heavily on the indirect measurement of plastic stress and strain by post-processing of mechanical test data, including tension, torsion, and compression test. There is no consensus among researchers regarding the best test or the post-processing theory nor do a...

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Autores principales:	Shahin Khoddam, Soheil Solhjoo, Peter D Hodgson
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/d78fa354929548c9b9615891c0658562
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spelling	oai:doaj.org-article:d78fa354929548c9b9615891c06585622021-11-23T05:33:19ZState of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals1687-814010.1177/16878140211061026https://doaj.org/article/d78fa354929548c9b9615891c06585622021-11-01T00:00:00Zhttps://doi.org/10.1177/16878140211061026https://doaj.org/toc/1687-8140Materials engineering and science rely heavily on the indirect measurement of plastic stress and strain by post-processing of mechanical test data, including tension, torsion, and compression test. There is no consensus among researchers regarding the best test or the post-processing theory nor do adequate standards exist on the characterization methods. The tests are typically performed as customized tests, discrepancies exist in the flow curves obtained by different methods and the chosen mechanical test. More critically, the curves are dominantly treated (perceived) as a set of measured data rather than calculated values. The plasticity-based calculated flow curves and their gradients are, in turn, the basis for several second-tier indirect measurements, such as stacking fault energy and recrystallization. Such measurements are quite prone to errors due to oversimplified post-processing of the tests’ data and can only be experimentally verified in a qualitative or in an average fashion. Therefore, their findings are highly restricted by the limitations of each test, data type and post-processing method, and should be used carefully. This review examines some of the most commonly used data conversion methods and some recent developments in the field followed by recommendations. It will highlight the need to develop test rigs that can provide new data types and to provide advanced post-processing techniques for the indirect measurement.Shahin KhoddamSoheil SolhjooPeter D HodgsonSAGE PublishingarticleMechanical engineering and machineryTJ1-1570ENAdvances in Mechanical Engineering, Vol 13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mechanical engineering and machinery TJ1-1570
spellingShingle	Mechanical engineering and machinery TJ1-1570 Shahin Khoddam Soheil Solhjoo Peter D Hodgson State of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals
description	Materials engineering and science rely heavily on the indirect measurement of plastic stress and strain by post-processing of mechanical test data, including tension, torsion, and compression test. There is no consensus among researchers regarding the best test or the post-processing theory nor do adequate standards exist on the characterization methods. The tests are typically performed as customized tests, discrepancies exist in the flow curves obtained by different methods and the chosen mechanical test. More critically, the curves are dominantly treated (perceived) as a set of measured data rather than calculated values. The plasticity-based calculated flow curves and their gradients are, in turn, the basis for several second-tier indirect measurements, such as stacking fault energy and recrystallization. Such measurements are quite prone to errors due to oversimplified post-processing of the tests’ data and can only be experimentally verified in a qualitative or in an average fashion. Therefore, their findings are highly restricted by the limitations of each test, data type and post-processing method, and should be used carefully. This review examines some of the most commonly used data conversion methods and some recent developments in the field followed by recommendations. It will highlight the need to develop test rigs that can provide new data types and to provide advanced post-processing techniques for the indirect measurement.
format	article
author	Shahin Khoddam Soheil Solhjoo Peter D Hodgson
author_facet	Shahin Khoddam Soheil Solhjoo Peter D Hodgson
author_sort	Shahin Khoddam
title	State of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals
title_short	State of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals
title_full	State of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals
title_fullStr	State of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals
title_full_unstemmed	State of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals
title_sort	state of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/d78fa354929548c9b9615891c0658562
work_keys_str_mv	AT shahinkhoddam stateoftheartmethodstopostprocessmechanicaltestdatatocharacterizethehotdeformationbehaviorofmetals AT soheilsolhjoo stateoftheartmethodstopostprocessmechanicaltestdatatocharacterizethehotdeformationbehaviorofmetals AT peterdhodgson stateoftheartmethodstopostprocessmechanicaltestdatatocharacterizethehotdeformationbehaviorofmetals
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State of the art methods to post-process mechanical test data to characterize the hot deformation behavior of metals

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