Statistical treatment of grid indentation considering the effect of the interface and the microstructural length scale

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389021%3A_____%2F19%3A00500437" target="_blank" >RIV/61389021:_____/19:00500437 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21340/19:00325471

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0167663617308360?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0167663617308360?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.mechmat.2018.11.006" target="_blank" >10.1016/j.mechmat.2018.11.006</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical treatment of grid indentation considering the effect of the interface and the microstructural length scale

Popis výsledku v původním jazyce

Statistical evaluation of grid indentation data is a well-known method used for determination of mechanical properties of multiphase materials. The statistical distribution of these type of data can be significantly influenced by the presence of an interface between adjacent phases. Consequently, the bias in mechanical properties (e.g. Young´s modulus, hardness), more pronounced for higher penetration depths, is usually observed. Using standard multimodal Gaussian distribution leads to underestimation of mechanical properties of harder/stiffer phases and vice versa. To eliminate this effect, statistical distribution taking into account the conditional probability of the indentation near the interface was developed and used in this case study on tungsten–copper composite. Using this approach, intrinsic material properties (Young´s modulus and hardness) of the individual phases were determined. Moreover, the contribution from the presence of the neighboring phase was separated and thus, so-called indentation size effect was successfully identified in individual phases of tungsten–copper composite.

Název v anglickém jazyce

Statistical treatment of grid indentation considering the effect of the interface and the microstructural length scale

Popis výsledku anglicky

Statistical evaluation of grid indentation data is a well-known method used for determination of mechanical properties of multiphase materials. The statistical distribution of these type of data can be significantly influenced by the presence of an interface between adjacent phases. Consequently, the bias in mechanical properties (e.g. Young´s modulus, hardness), more pronounced for higher penetration depths, is usually observed. Using standard multimodal Gaussian distribution leads to underestimation of mechanical properties of harder/stiffer phases and vice versa. To eliminate this effect, statistical distribution taking into account the conditional probability of the indentation near the interface was developed and used in this case study on tungsten–copper composite. Using this approach, intrinsic material properties (Young´s modulus and hardness) of the individual phases were determined. Moreover, the contribution from the presence of the neighboring phase was separated and thus, so-called indentation size effect was successfully identified in individual phases of tungsten–copper composite.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20505 - Composites (including laminates, reinforced plastics, cermets, combined natural and synthetic fibre fabrics; filled composites)

Projekt

<a href="/cs/project/GB14-36566G" target="_blank" >GB14-36566G: Multidisciplinární výzkumné centrum moderních materiálů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Mechanics of Materials

ISSN

0167-6636

e-ISSN

—

Svazek periodika

129

Číslo periodika v rámci svazku

January

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

5

Strana od-do

99-103

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85056854113