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EN
Tool Flank Wear Analysis for MQL Assisted Milling of Strenx 1100 Structural Steel
Abstract
Strenx 1100 structural steel has unique material properties enables to utilize in important engineering applications such as marine and heavy vehicles. Due to the surface integrity of the parts produced by this material is of paramount importance, tool wear condition needs to be considered as well. As being applicable and easy to measure, tool flank wear (VB) is widely preferred in the field and reflects the remaining tool life. Minimum quantity lubrication (MQL) has been preferred most recently in machining operations especially for the hard-to-cut materials to improve the machinability characteristics. This paper contains experiments and further analysis of tool flank wear during MQL assisted milling of the Strenx 1100 steel. Cutting speed, feed rate and depth of cut were included in the experimental plan and Taguchi L9 design was adopted. Measured wear results were evaluated with 3d surface plots, analysis of variance (ANOVA) and optimization of parameters were carried out depend on signal to noise (S/N) ratio. Accordingly, cutting speed is the first parameter affecting tool flank wear about 53.2% and followed by feed rate about 35.77%. Parametric optimization depend on S/N ratio shows that first order of theall cutting parameters need to be selected for minimum tool flank wear which is observed on 3d graphs that the increase in the amount of wear with higher parameter levels. This comprehensive analysis is a guide for the practical applications in the industry as providing the limitations during applying a wide range of cutting parameters.
Keywords
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
31 Ağustos 2021
Gönderilme Tarihi
17 Mayıs 2021
Kabul Tarihi
5 Ağustos 2021
Yayımlandığı Sayı
Yıl 2021 Sayı: 25
APA
Kuntoğlu, M. (2021). Tool Flank Wear Analysis for MQL Assisted Milling of Strenx 1100 Structural Steel. Avrupa Bilim ve Teknoloji Dergisi, 25, 629-635. https://doi.org/10.31590/ejosat.938234
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