Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU131408" target="_blank" >RIV/00216305:26210/18:PU131408 - isvavai.cz</a>
Result on the web
<a href="https://www.mmscience.eu/journal/issues/november-2018/articles/usage-of-the-fuzzy-logic-to-predict-surface-quality-of-machined-parts-during-milling-opeartion" target="_blank" >https://www.mmscience.eu/journal/issues/november-2018/articles/usage-of-the-fuzzy-logic-to-predict-surface-quality-of-machined-parts-during-milling-opeartion</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17973/MMSJ.2018_11_201824" target="_blank" >10.17973/MMSJ.2018_11_201824</a>
Alternative languages
Result language
angličtina
Original language name
Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion
Original language description
High level of the quality requirements of machined parts is the standard, which is not unique only for automotive industry, but in industry general. The quality of the product surface roughness is key parameter for every machined product, one of the process with the high influence to surface quality is the milling process. In this article is used fuzzy logic to predict the surface quality by milling operation. Based on milling process parameters and measured data, the surface quality will be estimated using the Fuzzy Inference System (FIS)
Czech name
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Czech description
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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
20501 - Materials engineering
Result continuities
Project
<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
MM Science Journal
ISSN
1803-1269
e-ISSN
1805-0476
Volume of the periodical
2018
Issue of the periodical within the volume
11
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
5
Pages from-to
2547-2551
UT code for WoS article
000532566800010
EID of the result in the Scopus database
2-s2.0-85057335017