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New framework for nanoindentation curve fitting and measurement uncertainty estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00177016%3A_____%2F23%3AN0000102" target="_blank" >RIV/00177016:_____/23:N0000102 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14310/24:00139805

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0141635923001848" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0141635923001848</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.precisioneng.2023.10.001" target="_blank" >10.1016/j.precisioneng.2023.10.001</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    New framework for nanoindentation curve fitting and measurement uncertainty estimation

  • Original language description

    Uncertainty quantification is a vital component of any measurement process and is indispensable for comparing results obtained by different methods, instruments, or laboratories. The processing of the measured data often relies on fitting the data by a given function. Common methods such as ordinary nonlinear least squares are not capable of treating general uncertainties and correlations in both dependent and independent variables. A new computation method for nonlinear curve fitting to data with a general covariance structure is introduced. This method is applied to the Oliver-Pharr analysis of unloading curves and differences between different regression methods are addressed. Numerical simulations show that the new method yields parameter estimates in agreement with other methods for simple covariance structures. The obtained uncertainty estimates are in agreement with Monte Carlo studies.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Precision Engineering

  • ISSN

    0141-6359

  • e-ISSN

    1873-2372

  • Volume of the periodical

    85

  • Issue of the periodical within the volume

    January 2024

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    8

  • Pages from-to

    166-173

  • UT code for WoS article

    001098374000001

  • EID of the result in the Scopus database