Scopus
YÖKSİS DOI Eşleşti
SJR Q2
Determining the optimum process parameter for grinding operations using robust process
Journal of Mechanical Science and Technology · Kasım 2012
YÖKSİS Kayıtları
Determining the optimum process parameter for grinding operations using robust process
Journal of Mechanical Science and Technology · 2012 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Experimental investigation of impact of addition of bioethanol in different biodiesels, on performance, combustion and emission characteristics
2017 ISSN: 1738-494X SCI-Expanded
Prof. Dr. İLKER ÖRS →
Determining the optimum process parameter for grinding operations using robust process
2012 ISSN: 1738-494X SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
Effect of homogenization heat treatment on the mechanical properties of AlMgSi alloys with different Cr content
2023 ISSN: 1738-494X SCI-Expanded Q4
Dr. Öğr. Üyesi HAVVA DEMİRPOLAT →
Makale Bilgileri
ISSN1738494X
Yayın TarihiKasım 2012
Cilt / Sayfa26 · 3587-3595
Scopus ID2-s2.0-84870277619
Özet
We applied combined response surface methodology (RSM) and Taguchi methodology (TM) to determine optimum parameters for minimum surface roughness (Ra) and vibration (Vb) in external cylindrical grinding. First, an experiment was conducted in a CNC cylindrical grinding machine. The TM using L27 orthogonal array was applied to the design of the experiment. The three input parameters were workpiece revolution, feed rate and depth of cut; the outputs were vibrations and surface roughness. Second, to minimize wheel vibration and surface roughness, two optimized models were developed using computer-aided single-objective optimization. The experimental and statistical results revealed that the most significant grinding parameter for surface roughness and vibration is workpiece revolution followed by the depth of cut. The predicted values and measured values were fairly close, which indicates (RRa2=94. 99 and RVb2=92. 73) that the developed models can be effectively used to predict surface roughness and vibration in the grinding. The established model for determination of optimal operating conditions shows that a hybrid approach can lead to success of a robust process. © 2012 The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.
Yazarlar (3)
1
Süleyman Neşeli
2
İlhan Asiltürk
ORCID: 0000-0002-8302-6577
3
Levent Çelik
Anahtar Kelimeler
CNC grinding
RSM
Surface roughness
Taguchi design
Vibration monitoring
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Journal of Mechanical Science and Technology
Q2
SJR Skoru0,418
H-Index78
YayıncıKorean Society of Mechanical Engineers
ÜlkeSouth Korea
Mechanical Engineering (Q2)
Mechanics of Materials (Q2)
Metrikler
33
Atıf
3
Yazar
5
Anahtar Kelime