Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production

M. Nouioua; M. A. Yallese; R. Khettabi; A. Chabbi; T. Mabrouki; F. Girardin

doi:10.1007/978-3-319-66697-6_83

Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production

M. Nouioua^*
, M. A. Yallese
, R. Khettabi
, A. Chabbi
, T. Mabrouki
, F. Girardin

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

For better surface quality and production efficiency in mechanical manufacturing, operators need to make a good choice of cutting parameters such as depth of cut, cutting speed, feed rate and also the cooling condition that affects not only product quality, but also respects the ecological aspect and preserves environment. In the current work, an experimental study has been carried out in order to evaluate the influence of cutting parameters on surface roughness, when turning of X210CR12 steel using multilayer-coated carbide insert with various nose radius. The ANOVA analysis has been performed to determine the effect of cutting conditions on Ra. The results have been analyzed using S/N ratios, mean effect graphs, and 3D response surface plots. The results indicate that the cutting insert nose radius and the feed rate are the mainly affecting factors on surface roughness. Confirmatory experiments have been established after Taguchi’s optimization. It has been found that the MQL is an interesting way to minimize lubricant quantity, protect operator health and environment with keeping better machining quality.

Original language	English
Title of host publication	Lecture Notes in Mechanical Engineering
Editors	Mohamed Haddar, Fakher Chaari, Abdelmajid Benamara, Mnaouar Chouchane, Nizar Aifaoui, Chafik Karra
Publisher	Springer Heidelberg
Pages	855-863
Number of pages	9
ISBN (Print)	9783319666969, 9783319686189, 9789811053283, 9789811322723
DOIs	https://doi.org/10.1007/978-3-319-66697-6_83
State	Published - 2018
Externally published	Yes
Event	7th Conference on Design and Modeling of Mechanical Systems, CMSM 2017 - Hammame, Tunisia Duration: 27 Mar 2017 → 29 Mar 2017

Publication series

Name	Lecture Notes in Mechanical Engineering
Volume	0
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	7th Conference on Design and Modeling of Mechanical Systems, CMSM 2017
Country/Territory	Tunisia
City	Hammame
Period	27/03/17 → 29/03/17

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2018.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

ANOVA analysis
Green process
MQL
Optimization
Signal to noise
Surface roughness
Taguchi design

ASJC Scopus subject areas

Automotive Engineering
Aerospace Engineering
Mechanical Engineering
Fluid Flow and Transfer Processes

Access to Document

10.1007/978-3-319-66697-6_83

Cite this

Nouioua, M., Yallese, M. A., Khettabi, R., Chabbi, A., Mabrouki, T., & Girardin, F. (2018). Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production. In M. Haddar, F. Chaari, A. Benamara, M. Chouchane, N. Aifaoui, & C. Karra (Eds.), Lecture Notes in Mechanical Engineering (pp. 855-863). (Lecture Notes in Mechanical Engineering; Vol. 0). Springer Heidelberg. https://doi.org/10.1007/978-3-319-66697-6_83

Nouioua, M. ; Yallese, M. A. ; Khettabi, R. et al. / Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production. Lecture Notes in Mechanical Engineering. editor / Mohamed Haddar ; Fakher Chaari ; Abdelmajid Benamara ; Mnaouar Chouchane ; Nizar Aifaoui ; Chafik Karra. Springer Heidelberg, 2018. pp. 855-863 (Lecture Notes in Mechanical Engineering).

@inproceedings{4655ab32cd2a4cc89bc528a40cee3939,

title = "Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production",

abstract = "For better surface quality and production efficiency in mechanical manufacturing, operators need to make a good choice of cutting parameters such as depth of cut, cutting speed, feed rate and also the cooling condition that affects not only product quality, but also respects the ecological aspect and preserves environment. In the current work, an experimental study has been carried out in order to evaluate the influence of cutting parameters on surface roughness, when turning of X210CR12 steel using multilayer-coated carbide insert with various nose radius. The ANOVA analysis has been performed to determine the effect of cutting conditions on Ra. The results have been analyzed using S/N ratios, mean effect graphs, and 3D response surface plots. The results indicate that the cutting insert nose radius and the feed rate are the mainly affecting factors on surface roughness. Confirmatory experiments have been established after Taguchi{\textquoteright}s optimization. It has been found that the MQL is an interesting way to minimize lubricant quantity, protect operator health and environment with keeping better machining quality.",

keywords = "ANOVA analysis, Green process, MQL, Optimization, Signal to noise, Surface roughness, Taguchi design",

author = "M. Nouioua and Yallese, \{M. A.\} and R. Khettabi and A. Chabbi and T. Mabrouki and F. Girardin",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 7th Conference on Design and Modeling of Mechanical Systems, CMSM 2017 ; Conference date: 27-03-2017 Through 29-03-2017",

year = "2018",

doi = "10.1007/978-3-319-66697-6\_83",

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pages = "855--863",

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booktitle = "Lecture Notes in Mechanical Engineering",

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}

Nouioua, M, Yallese, MA, Khettabi, R, Chabbi, A, Mabrouki, T & Girardin, F 2018, Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production. in M Haddar, F Chaari, A Benamara, M Chouchane, N Aifaoui & C Karra (eds), Lecture Notes in Mechanical Engineering. Lecture Notes in Mechanical Engineering, vol. 0, Springer Heidelberg, pp. 855-863, 7th Conference on Design and Modeling of Mechanical Systems, CMSM 2017, Hammame, Tunisia, 27/03/17. https://doi.org/10.1007/978-3-319-66697-6_83

Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production. / Nouioua, M.; Yallese, M. A.; Khettabi, R. et al.
Lecture Notes in Mechanical Engineering. ed. / Mohamed Haddar; Fakher Chaari; Abdelmajid Benamara; Mnaouar Chouchane; Nizar Aifaoui; Chafik Karra. Springer Heidelberg, 2018. p. 855-863 (Lecture Notes in Mechanical Engineering; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production

AU - Nouioua, M.

AU - Yallese, M. A.

AU - Khettabi, R.

AU - Chabbi, A.

AU - Mabrouki, T.

AU - Girardin, F.

N1 - Publisher Copyright: © Springer International Publishing AG 2018.

PY - 2018

Y1 - 2018

N2 - For better surface quality and production efficiency in mechanical manufacturing, operators need to make a good choice of cutting parameters such as depth of cut, cutting speed, feed rate and also the cooling condition that affects not only product quality, but also respects the ecological aspect and preserves environment. In the current work, an experimental study has been carried out in order to evaluate the influence of cutting parameters on surface roughness, when turning of X210CR12 steel using multilayer-coated carbide insert with various nose radius. The ANOVA analysis has been performed to determine the effect of cutting conditions on Ra. The results have been analyzed using S/N ratios, mean effect graphs, and 3D response surface plots. The results indicate that the cutting insert nose radius and the feed rate are the mainly affecting factors on surface roughness. Confirmatory experiments have been established after Taguchi’s optimization. It has been found that the MQL is an interesting way to minimize lubricant quantity, protect operator health and environment with keeping better machining quality.

AB - For better surface quality and production efficiency in mechanical manufacturing, operators need to make a good choice of cutting parameters such as depth of cut, cutting speed, feed rate and also the cooling condition that affects not only product quality, but also respects the ecological aspect and preserves environment. In the current work, an experimental study has been carried out in order to evaluate the influence of cutting parameters on surface roughness, when turning of X210CR12 steel using multilayer-coated carbide insert with various nose radius. The ANOVA analysis has been performed to determine the effect of cutting conditions on Ra. The results have been analyzed using S/N ratios, mean effect graphs, and 3D response surface plots. The results indicate that the cutting insert nose radius and the feed rate are the mainly affecting factors on surface roughness. Confirmatory experiments have been established after Taguchi’s optimization. It has been found that the MQL is an interesting way to minimize lubricant quantity, protect operator health and environment with keeping better machining quality.

KW - ANOVA analysis

KW - Green process

KW - MQL

KW - Optimization

KW - Signal to noise

KW - Surface roughness

KW - Taguchi design

UR - https://www.scopus.com/pages/publications/85036635145

U2 - 10.1007/978-3-319-66697-6_83

DO - 10.1007/978-3-319-66697-6_83

M3 - Conference contribution

AN - SCOPUS:85036635145

SN - 9783319666969

SN - 9783319686189

SN - 9789811053283

SN - 9789811322723

T3 - Lecture Notes in Mechanical Engineering

SP - 855

EP - 863

BT - Lecture Notes in Mechanical Engineering

A2 - Haddar, Mohamed

A2 - Chaari, Fakher

A2 - Benamara, Abdelmajid

A2 - Chouchane, Mnaouar

A2 - Aifaoui, Nizar

A2 - Karra, Chafik

PB - Springer Heidelberg

T2 - 7th Conference on Design and Modeling of Mechanical Systems, CMSM 2017

Y2 - 27 March 2017 through 29 March 2017

ER -

Nouioua M, Yallese MA, Khettabi R, Chabbi A, Mabrouki T, Girardin F. Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production. In Haddar M, Chaari F, Benamara A, Chouchane M, Aifaoui N, Karra C, editors, Lecture Notes in Mechanical Engineering. Springer Heidelberg. 2018. p. 855-863. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-319-66697-6_83

Optimization of machining process during turning of X210Cr12 steel under MQL cooling as a key factor in clean production

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this