Analysis of Surface Roughness and Flank Wear Using the Taguchi Method in Milling of NiTi Shape Memory Alloy with Uncoated Tools
Yazarlar (4)
Dr. Öğr. Üyesi Emre Altaş Bartın Üniversitesi, Türkiye
Prof. Dr. Hasan GÖKKAYA Karabük Üniversitesi, Türkiye
Doç. Dr. Meltem Altın Karataş Bolu Abant İzzet Baysal Üniversitesi, Türkiye
Dr. Öğr. Üyesi Derviş Özkan Bartın Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Coatings (Q2)
Dergi ISSN 2079-6412 Dergi Bilgileri (2020)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 12-2020
Kabul Tarihi Yayınlanma Tarihi 19-12-2020
Cilt / Sayı / Sayfa 10 / 12 / 1–17 DOI 10.3390/coatings10121259
Makale Linki https://doi.org/10.3390/coatings10121259
UAK Araştırma Alanları
Üretim Teknolojileri Malzeme Tasarım ve Davranışları
Özet
The aim of this study was to optimize machining parameters to obtain the smallest average surface roughness (Ra) and flank wear (Vb) values as a result of the surface milling of a nickel-titanium (NiTi) shape memory alloy (SMA) with uncoated cutting tools with different nose radius (rε) under dry cutting conditions. Tungsten carbide cutting tools with different rε (0.4 mm and 0.8 mm) were used in milling operations. The milling process was performed as lateral/surface cutting at three different cutting speeds (Vc) (20, 35 and 50 m/min), feed rates (fz) (0.03, 0.07 and 0.14 mm/tooth) and a constant axial cutting depth (0.7 mm). The effects of machining parameters in milling experiments were investigated based on the Taguchi L18 (21 × 32) orthogonal sequence, and the data obtained were analyzed using the Minitab 17 software. To determine the effects of processing parameters on Ra and Vb, analysis of variance (ANOVA) was used. The analysis results reveal that the dominant factor affecting the Ra is the cutting tool rε, while the main factor affecting Vb is the fz. Since the predicted values and measured values are very close to each other, it can be said that optimization is correct according to the validation test results.
Anahtar Kelimeler
Average surface roughness | Flank wear | Milling | NiTi shape memory alloy | Taguchi optimization
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 58
Scopus 61
Google Scholar 74
Google Scholar 8
Analysis of Surface Roughness and Flank Wear Using the Taguchi Method in Milling of NiTi Shape Memory Alloy with Uncoated Tools

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