Tensile testing of 3D printed material with digital image correlation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F18%3A43914697" target="_blank" >RIV/62156489:43210/18:43914697 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43410/18:43914697
Result on the web
<a href="https://mnet.mendelu.cz/mendelnet2018/mnet_2018_full.pdf" target="_blank" >https://mnet.mendelu.cz/mendelnet2018/mnet_2018_full.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Tensile testing of 3D printed material with digital image correlation
Original language description
Work is focused on Fused Deposition Modelling (FDM) in 3D printing with accented printing of samples from polyactid acid (PLA), which is a most common material used in 3D printing. The standard dog-bone shaped samples reinforced by internal ribs arranged in a grid with two different densities - 10% and 20% of internal sample volume filled by ribs, were tested for tensile strength. The development of surface strain fields during loading were analysed by a non-destructive method based on the digital image correlation (DIC) principles. It was concluded that in comparison of load curves and strain fields the support grid volume had a great effect on ultimate tensile force and deformation response of samples. From DIC pictures taken in individual loading phases it can be determined the places exhibiting the smallest surface strains, where the support ribs are located.
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
20301 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MendelNet 2018: Proceedings of International PhD Students Conference
ISBN
978-80-7509-597-8
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
429-434
Publisher name
Mendelova univerzita v Brně
Place of publication
Brno
Event location
Brno
Event date
Nov 7, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000462205300082