SIMULATION AND MONITORING OF THE MACHINING PROCESS VIA FUZZY LOGIC AND CUTTING FORCES

On time replacement of a cutting tool with a new one is an important task in Flexible Manufacturing Systems (FMS). A fuzzy logic-based approach was used in the present study to predict and simulate the tool wear progress in turning operation. Cutting parameters and cutting forces were considered as...

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Main Authors: A. Salimi, A. Özdemir, A. Erdem
Format: Article
Language:English
Published: Iran University of Science & Technology 2015-09-01
Series:Iranian Journal of Materials Science and Engineering
Subjects:
Online Access:http://ijmse.iust.ac.ir/browse.php?a_code=A-10-127-91&slc_lang=en&sid=1
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spelling doaj-61d8aa7e1da14c908416a1bc47c0b3be2020-11-25T00:44:13ZengIran University of Science & TechnologyIranian Journal of Materials Science and Engineering1735-08082383-38822015-09-011231426SIMULATION AND MONITORING OF THE MACHINING PROCESS VIA FUZZY LOGIC AND CUTTING FORCESA. Salimi0A. Özdemir1A. Erdem2 On time replacement of a cutting tool with a new one is an important task in Flexible Manufacturing Systems (FMS). A fuzzy logic-based approach was used in the present study to predict and simulate the tool wear progress in turning operation. Cutting parameters and cutting forces were considered as the input and the wear rate was regarded as the output data in the fuzzy logic for constructing the system. Flank wear was used as the tool life criterion and the wear ranges were selected between 0 and 0, 3 based on ISO 3685 standard for new and worn tool respectively. For conducting the tests, Taghuchi method was used to design an experimental table. The results of the measurements and estimates confirmed the reliability of the fuzzy logic method for estimating tool wear. One significant feature of the proposed system is that it can predict the wear rate on-line by transferring the cutting force signals from the sensor to the fuzzy logic simulation box.http://ijmse.iust.ac.ir/browse.php?a_code=A-10-127-91&slc_lang=en&sid=1Tool condition monitoring cutting forces fuzzy logic simulation
collection DOAJ
language English
format Article
sources DOAJ
author A. Salimi
A. Özdemir
A. Erdem
spellingShingle A. Salimi
A. Özdemir
A. Erdem
SIMULATION AND MONITORING OF THE MACHINING PROCESS VIA FUZZY LOGIC AND CUTTING FORCES
Iranian Journal of Materials Science and Engineering
Tool condition monitoring
cutting forces
fuzzy logic
simulation
author_facet A. Salimi
A. Özdemir
A. Erdem
author_sort A. Salimi
title SIMULATION AND MONITORING OF THE MACHINING PROCESS VIA FUZZY LOGIC AND CUTTING FORCES
title_short SIMULATION AND MONITORING OF THE MACHINING PROCESS VIA FUZZY LOGIC AND CUTTING FORCES
title_full SIMULATION AND MONITORING OF THE MACHINING PROCESS VIA FUZZY LOGIC AND CUTTING FORCES
title_fullStr SIMULATION AND MONITORING OF THE MACHINING PROCESS VIA FUZZY LOGIC AND CUTTING FORCES
title_full_unstemmed SIMULATION AND MONITORING OF THE MACHINING PROCESS VIA FUZZY LOGIC AND CUTTING FORCES
title_sort simulation and monitoring of the machining process via fuzzy logic and cutting forces
publisher Iran University of Science & Technology
series Iranian Journal of Materials Science and Engineering
issn 1735-0808
2383-3882
publishDate 2015-09-01
description On time replacement of a cutting tool with a new one is an important task in Flexible Manufacturing Systems (FMS). A fuzzy logic-based approach was used in the present study to predict and simulate the tool wear progress in turning operation. Cutting parameters and cutting forces were considered as the input and the wear rate was regarded as the output data in the fuzzy logic for constructing the system. Flank wear was used as the tool life criterion and the wear ranges were selected between 0 and 0, 3 based on ISO 3685 standard for new and worn tool respectively. For conducting the tests, Taghuchi method was used to design an experimental table. The results of the measurements and estimates confirmed the reliability of the fuzzy logic method for estimating tool wear. One significant feature of the proposed system is that it can predict the wear rate on-line by transferring the cutting force signals from the sensor to the fuzzy logic simulation box.
topic Tool condition monitoring
cutting forces
fuzzy logic
simulation
url http://ijmse.iust.ac.ir/browse.php?a_code=A-10-127-91&slc_lang=en&sid=1
work_keys_str_mv AT asalimi simulationandmonitoringofthemachiningprocessviafuzzylogicandcuttingforces
AT aozdemir simulationandmonitoringofthemachiningprocessviafuzzylogicandcuttingforces
AT aerdem simulationandmonitoringofthemachiningprocessviafuzzylogicandcuttingforces
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