The influence of regression curve parameters of creep behaviour on measured data prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F17%3A63517063" target="_blank" >RIV/70883521:28110/17:63517063 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/17:63517063
Result on the web
<a href="http://dx.doi.org/10.1051/matecconf/201712502041" target="_blank" >http://dx.doi.org/10.1051/matecconf/201712502041</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/matecconf/201712502041" target="_blank" >10.1051/matecconf/201712502041</a>
Alternative languages
Result language
angličtina
Original language name
The influence of regression curve parameters of creep behaviour on measured data prediction
Original language description
This study deals with the study of the influence of regression curve parameters on prediction of possibilities of measured data. In this study, the necessary introduction to polymer materials issues and their material structure which influences their physical and mechanical properties, is described. Thereafter, the method of testing materials using device DMA which enables this measurement is presented. In the next part, this measured data are processed using creep modulus in which regression curves are applied. In the final part of this study, the influence of individual parameters of the regression curve on their process during the prediction is described. The study will prove the inconsiderable influence especially the last parameter of the regression curve equation and its significant influence on measured data prediction.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20501 - Materials engineering
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>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MATEC Web of Conferences
ISBN
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ISSN
2261-236X
e-ISSN
neuvedeno
Number of pages
4
Pages from-to
"nestrankovano"
Publisher name
EDP Sciences
Place of publication
Les Ulis
Event location
Heraklion, Crete
Event date
Jul 14, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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