Farklı Kesme Parametreleri ve MQL Debilerinde Elde Edilen Deneysel Değerlerin S/N Oranları ve YSA ile Analizi

Year 2021, Volume: 24 Issue: 3, 1093 - 1107, 01.09.2021

Hüseyin Gürbüz Yunus Emre Gönülaçar

https://doi.org/10.2339/politeknik.833833

Cited By: 2

Abstract

Bu çalışmada, AISI 4140 çeliğinin tornalanması işleminde kesme hızı, ilerleme oranı ve MQL debisinin esas kesme kuvvetleri (Fc) ve ortalama yüzey pürüzlülüğüne (Ra) etkisi hem deneysel hem de istatiksel olarak incelenmiştir. Bu doğrultuda deney sonuçlarının değerlendirilmesinde sinyal/gürültü (S/N) oranları ve yapay sinir ağları (YSA) kullanılmıştır. İşleme deneylerinde, kesme parametreleri olarak üç farklı kesme hızı (75, 100, 125 m/dk), üç farklı ilerleme oranı (0,16 - 0,25 – 0,5 mm/dev), üç farklı MQL debisi (0,35 - 0,8 - 1,7 ml/dk) ve sabit kesme derinliği (2,5 mm) seçilmiştir. İşleme deneylerinde MQL debi artışının Fc üzerinde Ra’ya göre daha etkili olduğu tespit edilmiştir. Ayrıca tüm MQL debi uygulamalarında hem Fc hem de Ra’nın ilerleme oranı ile arttığı ve kesme hızı ile genel olarak azaldığı görülmüştür. Fc ve Ra için S/N oranları ve YSA ile elde edilen R2 değerleri R2S/N(Fc)= 0,9996, R2S/N(Ra)= 0,9984, R2YSA(Fc)=0,9990 ve R2YSA(Ra)=0,9884 bulunmuştur. S/N oranlarına göre Fc ve Ra üzerindeki en etkili kontrol faktörlerinin sırasıyla; ilerleme oranı, kesme hızı ve MQL debi olduğu belirlenmiştir. Elde edilen regresyon değerlerine bağlı olarak S/N oranlarının ve YSA’nın deneysel verileri yüksek güven aralığında tahmin etmede geçerli olduğu tespit edilmiştir.

Keywords

YSA, S/N oranı, minimum miktarda yağlama (MQL), esas kesme kuvveti, yüzey pürüzlülüğü

Supporting Institution

Batman Ü;niversitesi

Project Number

BTÜBAP-2017-Yüksek Lisans-2

Thanks

Yazarlar, (BTÜBAP-2017-Yüksek Lisans-2) numaralı proje ile bu araştırmaya sağladığı mali desteklerden dolayı Batman Üniversitesi Bilimsel Araştırma Projeleri Birimine ve laboratuvar imkânlarından faydalandığımız Gazi Üniversitesi Teknoloji Fakültesine teşekkür ederiz.

Analysis of Experimental Values Obtained at Different Cutting Parameters and MQL Flows with S/N Ratios and ANN

Abstract

In this study, the effect of cutting speed, feed rate and MQL flow rate on main cutting forces (Fc) and surface roughness (Ra) in turning process of AISI 4140 steel was investigated both experimentally and statistically. Accordingly, signal/noise (S/N) ratios and artificial neural networks (ANN) were used to evaluate the experimental results. As cutting parameters in machining experiments, three different cutting speeds (75, 100, 125 m/min), three different feed rates (0.16 - 0.25 - 0.5 mm/rev), three different MQL flow rates (0.35 - 0.8 - 1.7 ml/min) and a constant depth of cut (2.5 mm) were selected. In machining experiments, it was determined that the increase in MQL flow rate is more effective on Fc than Ra. It was also seen that both Fc and Ra increased with the feed, and generally decreased with the cutting speed in all MQL flow rate applications. According to S/N ratios, it was determined that the most effective control factors on Fc and Ra are feed rate, cutting speed and MQL flow rate, respectively. Depending on the regression values obtained, it was determined that S/N ratios and ANN are valid in predicting experimental data at high confidence intervals.

Keywords

ANN, S/N ratio, minimum quantity lubrication (MQL), main cutting force, surface roughness

Project Number

BTÜBAP-2017-Yüksek Lisans-2

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