On the Load Dependence of Micro-Hardness Measurements: Analysis of Data by Different Models and Evaluation of Measurement Errors
The influence of applied loads between 0.09807 N and 0.9807 N on measured values of micro-hardness was evaluated by Meyer’s index n, proportional specimen resistance model (PSR) and Hays – Kendall methods, Total Dispersion Zone and Analysis of Variance (ANOVA). The measurement was repeated 6 times u...
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doaj-305f14bac1e34802aed1d455235691492020-11-25T02:50:13ZengPolish Academy of SciencesArchives of Metallurgy and Materials2300-19092016-12-016141819182410.1515/amm-2016-0294amm-2016-0294On the Load Dependence of Micro-Hardness Measurements: Analysis of Data by Different Models and Evaluation of Measurement ErrorsPetrík J.0 Technical University of Košice, Faculty of Metalurgy Letná 9, 04 001 Košice, SlovakiaThe influence of applied loads between 0.09807 N and 0.9807 N on measured values of micro-hardness was evaluated by Meyer’s index n, proportional specimen resistance model (PSR) and Hays – Kendall methods, Total Dispersion Zone and Analysis of Variance (ANOVA). The measurement was repeated 6 times using the same hardness reference block with standard hardness Hc = 327 HV0.05 as a sample. The influence of the load on the measured value of micro-hardness is statistically significant, and the relationship between applied load and micro-hardness manifests reverse indentation size effect (ISE) for most of “measurements”. The high value of the uncertainty of results can affect the existence and nature of ISE, especially at low loads.http://www.degruyter.com/view/j/amm.2016.61.issue-4/amm-2016-0294/amm-2016-0294.xml?format=INTmicro-hardnessISEstandard reference block |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Petrík J. |
spellingShingle |
Petrík J. On the Load Dependence of Micro-Hardness Measurements: Analysis of Data by Different Models and Evaluation of Measurement Errors Archives of Metallurgy and Materials micro-hardness ISE standard reference block |
author_facet |
Petrík J. |
author_sort |
Petrík J. |
title |
On the Load Dependence of Micro-Hardness Measurements: Analysis of Data by Different Models and Evaluation of Measurement Errors |
title_short |
On the Load Dependence of Micro-Hardness Measurements: Analysis of Data by Different Models and Evaluation of Measurement Errors |
title_full |
On the Load Dependence of Micro-Hardness Measurements: Analysis of Data by Different Models and Evaluation of Measurement Errors |
title_fullStr |
On the Load Dependence of Micro-Hardness Measurements: Analysis of Data by Different Models and Evaluation of Measurement Errors |
title_full_unstemmed |
On the Load Dependence of Micro-Hardness Measurements: Analysis of Data by Different Models and Evaluation of Measurement Errors |
title_sort |
on the load dependence of micro-hardness measurements: analysis of data by different models and evaluation of measurement errors |
publisher |
Polish Academy of Sciences |
series |
Archives of Metallurgy and Materials |
issn |
2300-1909 |
publishDate |
2016-12-01 |
description |
The influence of applied loads between 0.09807 N and 0.9807 N on measured values of micro-hardness was evaluated by Meyer’s index n, proportional specimen resistance model (PSR) and Hays – Kendall methods, Total Dispersion Zone and Analysis of Variance (ANOVA). The measurement was repeated 6 times using the same hardness reference block with standard hardness Hc = 327 HV0.05 as a sample. The influence of the load on the measured value of micro-hardness is statistically significant, and the relationship between applied load and micro-hardness manifests reverse indentation size effect (ISE) for most of “measurements”. The high value of the uncertainty of results can affect the existence and nature of ISE, especially at low loads. |
topic |
micro-hardness ISE standard reference block |
url |
http://www.degruyter.com/view/j/amm.2016.61.issue-4/amm-2016-0294/amm-2016-0294.xml?format=INT |
work_keys_str_mv |
AT petrikj ontheloaddependenceofmicrohardnessmeasurementsanalysisofdatabydifferentmodelsandevaluationofmeasurementerrors |
_version_ |
1724739238828703744 |