Automation of Metallographic Sample Etching Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F23%3A00572567" target="_blank" >RIV/68081731:_____/23:00572567 - isvavai.cz</a>
Result on the web
<a href="https://www.scientific.net/DDF.423.113" target="_blank" >https://www.scientific.net/DDF.423.113</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4028/p-s347g9" target="_blank" >10.4028/p-s347g9</a>
Alternative languages
Result language
angličtina
Original language name
Automation of Metallographic Sample Etching Process
Original language description
Chemical etching is an integral part of metallographic sample preparation. Maintaining precise etch times can be difficult and therefore repeatability is limited. The aim of this work is to improve the repeatability of sample preparation using robotization. Prior to etching, metallographic samples of S355J2 (1.0577) structural steel were finely mechanically polished. For verification, 15 specimens were prepared using an in-house designed automated etching machine with a built-in 5-axis robotic arm and 15 specimens prepared manually by an expert metallographer. The samples were etched with Kourbatoff 4 reagent for 8 seconds in a beaker placed in an ultrasonic cleaner at 80 kHz. The samples were then cleaned in 7 beakers of cleaning fluid also placed in the ultrasonic cleaner. The robotic etching and cleaning process was optimized and the quality of the resulting surface is at least as good as that of the samples prepared by an expert metallographer. The surfaces were compared using a light optical microscope (LOM) and a confocal laser scanning microscope (CLSM). The repeatability of the preparation process is a key aspect for obtaining a large dataset of steel microphotographs for training a deep neural network that will be used in future research.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20501 - Materials engineering
Result continuities
Project
<a href="/en/project/TN01000008" target="_blank" >TN01000008: Center of electron and photonic optics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
Defect and Diffusion Forum
ISSN
1012-0386
e-ISSN
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Volume of the periodical
423
Issue of the periodical within the volume
April
Country of publishing house
CH - SWITZERLAND
Number of pages
6
Pages from-to
113-118
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85159048343