2017
DOI: 10.5937/fmet1701181t
|View full text |Cite
|
Sign up to set email alerts
|

Fuzzy model based surface roughness prediction of fine turning

Abstract: The quality and accuracy requirements of machined parts (e.g. geometric, and shape tolerances…)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
7
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 18 publications
(7 citation statements)
references
References 11 publications
0
7
0
Order By: Relevance
“…A further advantage is that fuzzy-based systems can produce good estimations even in those cases where the available amount of data is inadequate to carry out statistical analysis. As a result, predictive models are commonly constructed with the help of that method [38] [39].…”
Section: Methods Of Model Constructionmentioning
confidence: 99%
“…A further advantage is that fuzzy-based systems can produce good estimations even in those cases where the available amount of data is inadequate to carry out statistical analysis. As a result, predictive models are commonly constructed with the help of that method [38] [39].…”
Section: Methods Of Model Constructionmentioning
confidence: 99%
“…Lazarević et al [22], studied effect of nose radius, depth of cut, feed rate and cutting velocity on the cutting force. Tóth-Laufer and Horváth [23], stuied the effect of depth of cut, feed rate and cutting velocity on the surface integrity. Popović et al [24], investigated the chip morphology for considering the tool as 16MnCr5.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Several studies investigate these aspects focusing on, for instance, the quality of the work piece surface when circular-saw blade presents irregular tooth pitch [23]. In this case, further researches permit the prediction of surface quality in machining only from the evaluation of tools and process parameters [24][25].…”
Section: Literature Overviewmentioning
confidence: 99%