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New method for assessing the repeatability of the measuring system for roughness measurements

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

New method for assessing the repeatability of the measuring system for roughness measurements. / Engler, Carsten; Georgiadis, Anthimos; Meier, Nicolas et al.
In: International Journal of Metrology and Quality Engineering, Vol. 15, 10, 11.06.2024.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Engler, C, Georgiadis, A, Meier, N & Lange, D 2024, 'New method for assessing the repeatability of the measuring system for roughness measurements', International Journal of Metrology and Quality Engineering, vol. 15, 10. https://doi.org/10.1051/ijmqe/2024008

APA

Engler, C., Georgiadis, A., Meier, N., & Lange, D. (2024). New method for assessing the repeatability of the measuring system for roughness measurements. International Journal of Metrology and Quality Engineering, 15, Article 10. https://doi.org/10.1051/ijmqe/2024008

Vancouver

Engler C, Georgiadis A, Meier N, Lange D. New method for assessing the repeatability of the measuring system for roughness measurements. International Journal of Metrology and Quality Engineering. 2024 Jun 11;15:10. doi: 10.1051/ijmqe/2024008

Bibtex

@article{bb3824a56cb242d59b927323930a0dbb,
title = "New method for assessing the repeatability of the measuring system for roughness measurements",
abstract = "The AIAG established the MSA, 4th Edition, as an international guideline to determine if the selected measurement system is capable and can be used for the intended purpose. The MSA guideline provides a practical basis for decision-making and is applied in both scientific and industrial contexts. In addition to the MSA, the Guide to the Expression of Uncertainty in Measurement (GUM) has standardized the determination of measurement uncertainties at an international level. This paper provides a practical example of using a surface comparator to demonstrate the limitations of the MSA for roughness parameters. Additionally, it presents a new method for assessing the capability of a measuring system for roughness measurements by considering the aspects from MSA and GUM. This work considers all information, distinguishing between existing and experimentally generated data. The experimental investigations for the application of the new method were carried out using a confocal laser scanning measuring microscope. The approach presents a new practical opportunity for both science and industry.",
keywords = "capability, GUM, MSA, new formula, new method, roughness, uncertainty, Engineering",
author = "Carsten Engler and Anthimos Georgiadis and Nicolas Meier and Dirk Lange",
note = "Publisher Copyright: {\textcopyright} C. Engler et al., Published by EDP Sciences, 2024.",
year = "2024",
month = jun,
day = "11",
doi = "10.1051/ijmqe/2024008",
language = "English",
volume = "15",
journal = "International Journal of Metrology and Quality Engineering",
issn = "2107-6839",
publisher = "EDP Sciences",

}

RIS

TY - JOUR

T1 - New method for assessing the repeatability of the measuring system for roughness measurements

AU - Engler, Carsten

AU - Georgiadis, Anthimos

AU - Meier, Nicolas

AU - Lange, Dirk

N1 - Publisher Copyright: © C. Engler et al., Published by EDP Sciences, 2024.

PY - 2024/6/11

Y1 - 2024/6/11

N2 - The AIAG established the MSA, 4th Edition, as an international guideline to determine if the selected measurement system is capable and can be used for the intended purpose. The MSA guideline provides a practical basis for decision-making and is applied in both scientific and industrial contexts. In addition to the MSA, the Guide to the Expression of Uncertainty in Measurement (GUM) has standardized the determination of measurement uncertainties at an international level. This paper provides a practical example of using a surface comparator to demonstrate the limitations of the MSA for roughness parameters. Additionally, it presents a new method for assessing the capability of a measuring system for roughness measurements by considering the aspects from MSA and GUM. This work considers all information, distinguishing between existing and experimentally generated data. The experimental investigations for the application of the new method were carried out using a confocal laser scanning measuring microscope. The approach presents a new practical opportunity for both science and industry.

AB - The AIAG established the MSA, 4th Edition, as an international guideline to determine if the selected measurement system is capable and can be used for the intended purpose. The MSA guideline provides a practical basis for decision-making and is applied in both scientific and industrial contexts. In addition to the MSA, the Guide to the Expression of Uncertainty in Measurement (GUM) has standardized the determination of measurement uncertainties at an international level. This paper provides a practical example of using a surface comparator to demonstrate the limitations of the MSA for roughness parameters. Additionally, it presents a new method for assessing the capability of a measuring system for roughness measurements by considering the aspects from MSA and GUM. This work considers all information, distinguishing between existing and experimentally generated data. The experimental investigations for the application of the new method were carried out using a confocal laser scanning measuring microscope. The approach presents a new practical opportunity for both science and industry.

KW - capability

KW - GUM

KW - MSA

KW - new formula

KW - new method

KW - roughness

KW - uncertainty

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85196301260&partnerID=8YFLogxK

U2 - 10.1051/ijmqe/2024008

DO - 10.1051/ijmqe/2024008

M3 - Journal articles

AN - SCOPUS:85196301260

VL - 15

JO - International Journal of Metrology and Quality Engineering

JF - International Journal of Metrology and Quality Engineering

SN - 2107-6839

M1 - 10

ER -

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Stepwise-based optimizing approaches for arrangements of loudspeaker in multi-zone sound field reproduction

Zhou, T., Yasueda, K., Bouattour, G., Georgiadis, A. & Kataoka, A., 01.01.2025, In: Acoustical Science and Technology. 46, 1, p. 11-21 11 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Assistance systems for patient positioning in radiotherapy practice

Müller-Polyzou, R., Reuter-Oppermann, M., Feger, J., Meier, N. & Georgiadis, A., 12.2024, In: Health Systems. 13, 4, p. 332-360 29 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Improving the surface quality of AlMgSi1 alloy with the selection of the appropriate vibration grinding stones

Engler, C., Georgiadis, A., Lange, D. & Meier, N., 12.2024, In: Journal of Engineering and Applied Science. 71, 20 p., 35.

Research output: Journal contributions › Journal articles › Research › peer-review

Mathematical Model of Double Row Self-Aligning Ball Bearing

Ambrożkiewicz, B., Litak, G., Georgiadis, A., Syta, A., Meier, N. & Gassner, A., 2024, Perspectives in Dynamical Systems II — Numerical and Analytical Approaches - DSTA 2021. Awrejcewicz, J. (ed.). Springer Verlag, p. 29-39 11 p. (Springer Proceedings in Mathematics and Statistics; vol. 454).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Intelligent Diagnostics of Radial Internal Clearance in Ball Bearings with Machine Learning Methods

Ambrożkiewicz, B., Syta, A., Georgiadis, A., Gassner, A., Litak, G. & Meier, N., 25.06.2023, In: Sensors. 23, 13, 16 p., 5875.

Research output: Journal contributions › Journal articles › Research › peer-review

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