Multi-objective optimization of surface roughness, thrust force, and torque produced by novel drill geometries using Taguchi-based GRA
Yazarlar (5)
Dr. Öğr. Üyesi Güven Meral Gazi Üniversitesi, Türkiye
Prof. Dr. Murat SARIKAYA Sinop Üniversitesi, Türkiye
Mozammel Mia
Ahsanullah University Of Science And Technology, Bangladeş
Prof. Dr. Hakan Dilipak Gazi Üniversitesi, Türkiye
Prof. Dr. Ulvi Şeker Gazi Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı International Journal of Advanced Manufacturing Technology (Q2)
Dergi ISSN 0268-3768 Dergi Bilgileri (2019)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 03-2019
Cilt / Sayı / Sayfa 101 / 5 / 1595–1610 DOI 10.1007/s00170-018-3061-z
Makale Linki http://link.springer.com/10.1007/s00170-018-3061-z
UAK Araştırma Alanları
Üretim Teknolojileri
Özet
A significant part of today’s chip removal processes are drilling holes. Many parameters such as cutting parameters, material, machine tool, and cutting tool, etc., in the hole-drilling process affect performance indicators such as surface roughness, tool wear, force, torque, energy consumption, and costs etc. While cutting parameters are easily planned by the operator during drilling, the selection and planning of the drill geometry are more difficult. In order to design and produce the new drill geometry, a wide time and engineering research are needed. In this study, the design and fabrication of new drill geometry were performed to improve the hole-drilling performance. The performance of the fabricated drills was judged with regard to surface roughness, thrust force, and drilling torque. In the performance tests, four different drill geometries, four different cutting speed levels, and four different feed rate levels were …
Anahtar Kelimeler
Drill design | Drill production | Optimization | Surface roughness | Thrust force | Torque
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 56
Scopus 56
Google Scholar 69
Multi-objective optimization of surface roughness, thrust force, and torque produced by novel drill geometries using Taguchi-based GRA