<abstract xmlns="http://www.w3.org/1999/xhtml"><p> In order to properly use materials in design, a complete understanding of and information on their mechanical properties, such as yield and ultimate tensile strength must be obtained. Furthermore, as the design of automotive parts is constantly pushed toward higher limits, excessive measuring uncertainty can lead to unexpected premature failure of the component, thus requiring reliable determination of material properties with low uncertainty.</p><p>The aim of the present work was to evaluate the effect of different metrology factors, including the number of tested samples, specimens machining and surface quality, specimens input diameter, type of testing and human error on the tensile test results and measurement uncertainty when performed on 2xxx series Al alloy. Results show that the most significant contribution to measurement uncertainty comes from the number of samples tested, which can even exceed 1 %. Furthermore, moving from experimental laboratory conditions to very intense industrial environment further amplifies measurement uncertainty, where even if using automated systems human error cannot be neglected.</p></abstract>

In order to properly use materials in design, a complete understanding of and information on their mechanical properties, such as yield and ultimate tensile strength must be obtained. Furthermore, as the design of automotive parts is constantly pushed toward higher limits, excessive measuring uncertainty can lead to unexpected premature failure of the component, thus requiring reliable determination of material properties with low uncertainty.The aim of the present work was to evaluate the effect of different metrology factors, including the number of tested samples, specimens machining and surface quality, specimens input diameter, type of testing and human error on the tensile test results and measurement uncertainty when performed on 2xxx series Al alloy. Results show that the most significant contribution to measurement uncertainty comes from the number of samples tested, which can even exceed 1 %. Furthermore, moving from experimental laboratory conditions to very intense industrial environment further amplifies measurement uncertainty, where even if using automated systems human error cannot be neglected.

Analysis of Factors Influencing Measurement Accuracy of Al Alloy Tensile Test Results

Institute of Metals and Technology, Lepi pot 11, 1000 Ljubljana, Slovenia

IMPOL R&R d.o.o., Partizanska 38, 2310 Slovenska Bistrica, Slovenia

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

In order to properly use materials in design, a complete understanding of and information on their mechanical properties, such as yield and ultimate tensile...

Analysis of Factors Influencing Measurement Accuracy of Al Alloy Tensile Test Results

Online veröffentlicht: 19. Feb. 2016

Seitenbereich: 1 - 7

Eingereicht: 20. Sept. 2015

Akzeptiert: 28. Jan. 2016

DOI: https://doi.org/10.1515/msr-2016-0001

Schlüsselwörter
Measurement uncertainty, ultimate tensile strength, Al alloy, testing conditions

© by Bojan Podgornik

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Analysis of Factors Influencing Measurement Accuracy of Al Alloy Tensile Test Results

Online veröffentlicht: 19. Feb. 2016

Seitenbereich: 1 - 7

Eingereicht: 20. Sept. 2015

Akzeptiert: 28. Jan. 2016

DOI: https://doi.org/10.1515/msr-2016-0001

SchlüsselwörterMeasurement uncertainty, ultimate tensile strength, Al alloy, testing conditions

© by Bojan Podgornik

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Measurement uncertainty, ultimate tensile strength, Al alloy, testing conditions