Publication detail
Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion
STREJČEK, J. ŽÁK, L. DVOŘÁK, J.
English title
Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion
Type
WoS Article
Language
en
Original abstract
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)
Keywords in English
Quality, fuzzy logic, surface, tool, parameter
Released
2018-11-01
Publisher
Data protection & Cookies
Location
Prague
ISSN
1803-1269
Volume
2018
Number
11
Pages from–to
2547–2551
Pages count
5
BIBTEX
@article{BUT155953,
author="Jan {Strejček} and Libor {Žák} and Jakub {Dvořák}",
title="Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion",
journal="MM Science Journal",
year="2018",
volume="2018",
number="11",
pages="2547--2551",
doi="10.17973/MMSJ.2018\{_}11\{_}201824",
issn="1803-1269",
url="https://www.mmscience.eu/journal/issues/november-2018/articles/usage-of-the-fuzzy-logic-to-predict-surface-quality-of-machined-parts-during-milling-opeartion"
}