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.
Sustainable production Vegetable cutting fluid Ultrasonic atomizer Tool wear Cutting force Surface roughness.
Süleyman Demirel University Scientific Research Projects Coordination Unit for their support for the project numbered 4994-D1-17.
4994-D1-17
I would like to thank Süleyman Demirel University Scientific Research Projects Coordination Unit for their support for the project numbered 4994-D1-17.
Süleyman Demirel University Scientific Research Projects Coordination Unit for their support for the project numbered 4994-D1-17
4994-D1-17
I would like to thank Süleyman Demirel University Scientific Research Projects Coordination Unit for their support for the project numbered 4994-D1-17
Primary Language | English |
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Subjects | Optimization Techniques in Mechanical Engineering |
Journal Section | Research Article |
Authors | |
Project Number | 4994-D1-17 |
Early Pub Date | December 25, 2023 |
Publication Date | December 31, 2023 |
Submission Date | October 13, 2023 |
Acceptance Date | December 14, 2023 |
Published in Issue | Year 2023 |
Uluslararası 3B Yazıcı Teknolojileri ve Dijital Endüstri Dergisi Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı ile lisanslanmıştır.