2017
DOI: 10.1080/13621718.2016.1251713
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Iterative mesh-based hardness mapping

Abstract: Hardness mapping permits quantification of the properties of materials over microstructurally significant lengths. A technique has been developed whereby hardness maps can be generated to account for specific weld geometry and further refined using an adaptive approach. Once a preliminary map is produced, subsequent indents are placed in high hardness gradient locations to decrease interpolation distances between indentation sites. The method is demonstrated with three test cases: an Al-7010 friction stir weld… Show more

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Cited by 10 publications
(5 citation statements)
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References 21 publications
(27 reference statements)
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“…The number of indents were 274 and 685 for the samples arc heat treated 1 and 10 min, respectively. The procedure of hardness mapping is explained by Brayshaw et al [18].…”
Section: Characterization Techniquesmentioning
confidence: 99%
“…The number of indents were 274 and 685 for the samples arc heat treated 1 and 10 min, respectively. The procedure of hardness mapping is explained by Brayshaw et al [18].…”
Section: Characterization Techniquesmentioning
confidence: 99%
“…The map of hardness showing the distribution of hardness values throughout the surface of the dissimilar weld AISI 420/S355MC is presented in Figure 11 . This map allows to quantify the material properties along the length of microstructurally significant weld zones [ 28 ]. The employed hardness mapping enabled accurate identification of the different welding zones of dissimilar welds and presentation of clear results in all boundary zones.…”
Section: Resultsmentioning
confidence: 99%
“…The load duration varied according to the Ecos Workflow™ software which determines the duration of each indent based on a number of parameters and the results were exported in a spreadsheet for further analysis using Matlab. A code was developed based on the code described by Brayshaw et al [14] where an interpolation method is used between the indentation datapoints and a surface plot is created. Outside the datapoints boundary, the values are normalised to the average hardness value of the dataset and the final plot is trimmed around the boundary.…”
Section: Resultsmentioning
confidence: 99%