Publication detail

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

STREJČEK, J. ŽÁK, L. DVOŘÁK, J.

Original Title

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

Type

journal article in Web of Science

Language

English

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

Quality, fuzzy logic, surface, tool, parameter

Authors

STREJČEK, J.; ŽÁK, L.; DVOŘÁK, J.

Released

1. 11. 2018

Publisher

Data protection & Cookies

Location

Prague

ISBN

1803-1269

Periodical

MM Science Journal

Year of study

2018

Number

11

State

Czech Republic

Pages from

2547

Pages to

2551

Pages count

5

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

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"
}