Journal
ADVANCES IN MECHANICAL ENGINEERING
Volume 13, Issue 11, Pages -Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/16878140211061026
Keywords
Post-processing of raw data; hot flow curve; mechanical tests
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Materials engineering and science heavily rely on indirect measurement of plastic stress and strain through post-processing of mechanical test data, but there is no consensus among researchers on the best test or post-processing theory. Due to oversimplified post-processing of test data, indirect measurements are prone to errors.
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.
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