A1 Journal article (refereed), original research

Fuzzy feed rate and cutting speed optimization in turning

Publication Details

Authors: Ratava Juho, Lohtander Mika

Publisher: Springer Verlag (Germany)

Publication year: 2018

Language: English

Related journal or series: International Journal of Advanced Manufacturing Technology

Start page: 1

End page: 12

Number of pages: 12

ISSN: 0268-3768

eISSN: 1433-3015

JUFO level of this publication: 1

Digital Object Identifier (DOI): http://dx.doi.org/10.1007/s00170-018-1845-9

Permanent website address: https://link.springer.com/article/10.1007/s00170-018-1845-9

Open Access: Not an Open Access publication


There are several methods of monitoring metal cutting processes. In this
study, the combination of various methods in order to define an overall
“cutting state” of a turning process is discussed along with an
application to use these methods for adaptive fuzzy feed rate and
cutting speed optimising control. For this purpose, different methods of
monitoring individual cutting phenomena such as chip length and
vibration level are aggregated and the combination of this information
is considered to be the cutting state of the process. Expert data has
been collected from a series of experiments concerning the apparent
state of these phenomena as well as required control action. An adaptive
optimizing fuzzy controller has been designed based on the concept of
the cutting state and collected expert rules. The automatically
classified cutting state as well as the control action based on this
state is compared to expert data. There are notable differences which
are analysed and solutions and further research are suggested based on
the points requiring further improvement.

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Last updated on 2019-13-03 at 12:00