2017
DOI: 10.5937/fmet1701181t
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Fuzzy model based surface roughness prediction of fine turning

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

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Cited by 18 publications
(7 citation statements)
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“…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%