Detail publikačního výsledku

Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion

STREJČEK, J.; ŽÁK, L.; DVOŘÁK, J.

Originální název

Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion

Anglický název

Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion

Druh

Článek WoS

Originální abstrakt

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)

Anglický abstrakt

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)

Klíčová slova

Quality, fuzzy logic, surface, tool, parameter

Klíčová slova v angličtině

Quality, fuzzy logic, surface, tool, parameter

Autoři

STREJČEK, J.; ŽÁK, L.; DVOŘÁK, J.

Rok RIV

2019

Vydáno

01.11.2018

Nakladatel

Data protection & Cookies

Místo

Prague

ISSN

1803-1269

Periodikum

MM Science Journal

Svazek

2018

Číslo

11

Stát

Česká republika

Strany od

2547

Strany do

2551

Strany počet

5

URL

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"
}