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Scopus YÖKSİS DOI Eşleşti SJR Q1

Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods

Measurement Journal of the International Measurement Confederation · Ocak 2016

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YÖKSİS Kayıtları
Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods
Measurement · 2016 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 20 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods
2016 ISSN: 02632241 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
Classification of vertebral column disorders and lumbar discs disease using attribute weighting algorithm with mean shift clustering
2016 ISSN: 02632241 SCI-Expanded
Prof. Dr. HASAN ERDİNÇ KOÇER →
Point cloud filtering on UAV based point cloud
2019 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. MUSTAFA ZEYBEK →
Investigation of progressive tool wear for determining of optimized machining parameters in turning
2019 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
Analysis of effect factors on thermoelectric generator using Taguchi method
2020 ISSN: 0263-2241 SCI
Dr. Öğr. Üyesi HAKAN TERZİOĞLU →
Decomposition of process damping ratios and verification of process damping model for chatter vibration
2012 ISSN: 02632241 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis
2012 ISSN: 02632241 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
Optimization of tool geometry parameters for turning operations based on the response surface methodology
2011 ISSN: 02632241 SCI-Expanded
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A new process damping model for chatter vibration
2011 ISSN: 02632241 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning
2021 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
The determination of age and gender by implementing new image processing methods and measurements to dental X-ray images
2020 ISSN: 0263-2241 SCI-Expanded
Prof. Dr. FATİH BAŞÇİFTÇİ →
Extraction of forest inventory parameters using handheld mobile laser scanning: A case study from Trabzon, Turkey
2021 ISSN: 0263-2241 SCI-Expanded Q1
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Measuring curvature of trajectory traced by coupler of an optimal four-link spherical mechanism
2021 ISSN: 0263-2241 SCI-Expanded Q1
Dr. Öğr. Üyesi OSMAN ACAR →
A CNN-SVM Study Based on Selected Deep Features for Grapevine Leaves Classification
2022 ISSN: 0263-2241 SCI-Expanded Q1
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An S-band zero-IF SFCW through-the-wall radar for range, respiration rate, and DOA estimation
2021 ISSN: 0263-2241 SCI-Expanded Q1
Prof. Dr. İSMAİL SARITAŞ →
An experimental study: Detecting the respiration rates of multiple stationary human targets by stepped frequency continuous wave radar
2021 ISSN: 0263-2241 SCI-Expanded Q1
Prof. Dr. İSMAİL SARITAŞ →
An experimental study: Detecting the respiration rates of multiple stationary human targets by stepped frequency continuous wave radar
2021 ISSN: 0263-2241 SCI-Expanded Q1
Dr. Öğr. Üyesi YUNUS EMRE ACAR →
An S-band zero-IF SFCW through-the-wall radar for range, respiration rate, and DOA estimation
2021 ISSN: 0263-2241 SCI-Expanded Q1
Dr. Öğr. Üyesi YUNUS EMRE ACAR →
A CNN-SVM study based on selected deep features for grapevine leaves classification
2022 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. İLKER ALİ ÖZKAN →
Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends
2022 ISSN: 0263-2241 SCI-Expanded Q1
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Makale Bilgileri

ISSN02632241
Yayın TarihiOcak 2016
Cilt / Sayfa78 · 120-128
Özet This study involves modelling of experimental data of surface roughness of Co28Cr6Mo medical alloy machined on a CNC lathe based on cutting parameters (spindle rotational speed, feed rate, depth of cut and tool tip radius). In order to determine critical states of the cutting parameters variance analysis (ANOVA) was applied while optimisation of the parameters affecting the surface roughness was achieved with the Response Surface Methodology (RSM) that is based on the Taguchi orthogonal test design. The validity of the developed models necessary for estimation of the surface roughness values (Ra, Rz), was approximately 92%. It was found that for Ra 38% of the most effective parameters is on the tool tip radius, followed by 33% on the feed rate whereas for Rz tool tip radius occupied 43% with the feed being at 33% rate. To achieve the minimum surface roughness, the optimum values obtained for spindle rpm, feed rate, depth of cut and tool tip radius were respectively, 318 rpm, 0.1 mm/rev, 0.7 mm and 0.8 mm.

Yazarlar (3)

1
İlhan Asiltürk
ORCID: 0000-0002-8302-6577
2
Süleyman Neşeli
3
Mehmet Alper Ince

Anahtar Kelimeler

Co28Cr6Mo Orthogonal design Response surface methodology Surface roughness Variance analysis (ANOVA)

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey

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Scimago Dergi (ISSN Eşleşmesi)
Measurement: Journal of the International Measurement Confederation
Q1
SJR Skoru1,244
H-Index146
YayıncıElsevier B.V.
ÜlkeNetherlands
Applied Mathematics (Q1)
Condensed Matter Physics (Q1)
Education (Q1)
Electrical and Electronic Engineering (Q1)
Instrumentation (Q1)
Statistics and Probability (Q1)
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121
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