THE EFFECT OF ATOMIZED SOYBEAN OIL EMULSIONS USED AS CUTTING FLUID ON THE CUTTING PERFORMANCE
International Journal of 3D Printing Technologies and Digital Industry, cilt.7, sa.3, ss.550-560, 2023 (TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 7 Sayı: 3
- Basım Tarihi: 2023
- Doi Numarası: 10.46519/ij3dptdi.1375591
- Dergi Adı: International Journal of 3D Printing Technologies and Digital Industry
- Derginin Tarandığı İndeksler: TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.550-560
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
Within the scope of sustainable production, a natural liquid mixture that will act as cutting fluid is
sprayed with a different system. The liquid consisting of water and soybean oil was pulverized by
ultrasonic atomization method and used by spraying with 4 bar compressed air. In this study, it was
aimed to investigate the effects of AISI 4140 steel on machinability in CNC lathe by using uncoated
carbide insert (SECO WNMG080404-M1). Three cutting speeds (150, 200, 250 m / min), three feed
rates (0.1, 0.15, 0.2 mm / rev) with four cutting fluids (1%, 5%, 10% soy oil-water mixture and
commercial cutting fluid) and the comparison was made by making experiments under dry cutting
conditions. In all experiments, the cutting depth was 1 mm and the cutting length was 100 mm. As a
result of the experiments, cutting force, surface roughness and tool wear values were examined and
contact angle measurements of cutting fluids were made. The best results in all parameters were
achieved by spraying a 10% soybean oil-water mixture using an ultrasonic atomizer. The best results in
all parameters were achieved by spraying a 10% soybean oil-water mixture using an ultrasonic atomizer.
The worst values occurred in experiments conducted under dry cutting condition. In addition, SEM
photographs were taken to observe the type of tool wear.
The obtained values were analyzed with the ANOVA method and the results were evaluated with 3D
surface graphics. After evaluating the analysis results, percentage impact rates, regression analysis
equations and optimization values are proposed.