Authors :
Muhittin Dilsiz; Yahya Isık
Volume/Issue :
Volume 9 - 2024, Issue 5 - May
Google Scholar :
https://tinyurl.com/2k4szsd4
Scribd :
https://tinyurl.com/2phm8cc5
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAY1603
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Today, it has become very important to
determine the cutting parameters in the machining
process. In order to produce at the desired quality, it is
necessary to determine the processing parameters
according to the type of material. Because cutting insert
selection should be made according to the hardness of the
material so that both the cutting insert service life is
longer and the desired surface quality can be achieved in
the material to be processed. In the literature, the main
factors affecting surface roughness are feed rate, cutting
speed, depth of cut, coolant, etc. In this context, 1.2316
steel, which is one of the chromium nickel-based
materials, was preferred, and a study was conducted to
evaluate the effects of steel on surface roughness with the
processes performed under cutting speed, feed rate, depth
of cut and wet/dry cutting conditions. Using the Taguchi
optimization method, the interaction between the
determined levels of the processing parameters was
examined and the optimum values were tried to be
determined. Within the scope of the study, nine different
experiments were carried out using Taguchi's L9
orthogonal sequence and the surface roughness data
obtained as a result of each experiment were recorded.
According to the results of the analysis, the feed rate with
an effect rate of 35.2 % was the parameter that affected
the surface roughness the most. Progress was followed by
aqueous and dry cutting conditions with an effect rate of
29.09 % The effect of the depth of cut was 22.18 % while
the cutting speed was 3.54%, very little. As a result of the
experimental studies, the experimental study, in which the
surface roughness was the best, that is, the Ra value was
the lowest, was conducted under the conditions of cutting
speed of 100 m/min, feed rate of 400 mm/min, depth of cut
of 1.5 mm and aqueous cutting. These findings may be
useful in the processing of groups of stainless materials to
be used in the production of equipment that will be
resistant to corrosion.
Keywords :
Chrome Nickel-based Steels, Milling, Machinability, Taguchi, Test Design, Surface Roughness.
References :
- https://mccotomotiv.com.tr/2020/10/04/paslanmaz-celik-depolama-tanklari/
- Ay, M., Erdoğan, O. and Kurt, M. (2003). “Determination of factors affecting surface roughness in CNC milling machines”, 3rd International Advanced Technologies Symposium, 317-329.
- Lin, T. R. (2002). “Cutting behavior of a TiN-coated carbide drill with curved cutting edges during the high-speed machining of stainless steel”, J. Mater. Process. Technol., 127, 8-16.
- Boy, M., Demir, H. and Korkut, İ. (2009). “The effect of cutting parameters on surface roughness in the machining of Vanadis 10 cold work tool steel”, 5th International Advanced Technologies Symposium (IATS'09)
- Özbek, N. A., Özbek, O., Kara, F. (2017). Optimization of cutting parameters for tool wear using Taguchi method in turning of hardened AISI 420 steel. Research gate.
- Gennari, W., Pereira, A. A. and Santos, H. L. A. (2005). “Application of minimum amount of fluid by spray in turning of AISI 316 stainless steels”, American Society of Mechanical Engineers, Manufacturing Engineering Division, MED, 16(1): 69-74.
- Akasawa, T., Sakurai, H., Nakamura, M., Tanaka, T. and Takano, K. (2003). “Effects of free-cutting additives on the machinability of austenitic stainless steels”, Journal of Materials Processing Technology, 143-144(1): 66-71.
- Altınkaya, E., and Güllü, A. (2008). “The Effect of Chip Breaker Form on Tool Wear and Surface Roughness in Machining AISI 316 Austenitic Stainless Steel”, Politek. Journal, 11(1): 13-17.
- Ranganathan, S., Senthilvelan, T. and Sriram, G. (2009). “Mathematical modeling of process parameters on hard turning of AISI 316 SS by WC insert”, J. Sci. Ind. Res. (India).,68, 592-596.
- Safa Bodur, M. (2022). “Statistical approach to reduce surface roughness and power consumption in AISI 304 stainless steel machining processes”, NÖHÜ Eng. Science. Journal / NOHU J. Eng. Sci., 11(2), 379-386.
- Kara, F. and Öztürk, B. (2019). Comparison and optimization of PVD and CVD method on surface roughness and flank wear in hard-machining of DIN 1.2738 mold steel. Sensor Review, Vol. 39 No. 1, 24-33.
- https://www.ayhansteel.com/wp-content/uploads/ ayhansteel-pdf/ayhan-celik.pdf
Today, it has become very important to
determine the cutting parameters in the machining
process. In order to produce at the desired quality, it is
necessary to determine the processing parameters
according to the type of material. Because cutting insert
selection should be made according to the hardness of the
material so that both the cutting insert service life is
longer and the desired surface quality can be achieved in
the material to be processed. In the literature, the main
factors affecting surface roughness are feed rate, cutting
speed, depth of cut, coolant, etc. In this context, 1.2316
steel, which is one of the chromium nickel-based
materials, was preferred, and a study was conducted to
evaluate the effects of steel on surface roughness with the
processes performed under cutting speed, feed rate, depth
of cut and wet/dry cutting conditions. Using the Taguchi
optimization method, the interaction between the
determined levels of the processing parameters was
examined and the optimum values were tried to be
determined. Within the scope of the study, nine different
experiments were carried out using Taguchi's L9
orthogonal sequence and the surface roughness data
obtained as a result of each experiment were recorded.
According to the results of the analysis, the feed rate with
an effect rate of 35.2 % was the parameter that affected
the surface roughness the most. Progress was followed by
aqueous and dry cutting conditions with an effect rate of
29.09 % The effect of the depth of cut was 22.18 % while
the cutting speed was 3.54%, very little. As a result of the
experimental studies, the experimental study, in which the
surface roughness was the best, that is, the Ra value was
the lowest, was conducted under the conditions of cutting
speed of 100 m/min, feed rate of 400 mm/min, depth of cut
of 1.5 mm and aqueous cutting. These findings may be
useful in the processing of groups of stainless materials to
be used in the production of equipment that will be
resistant to corrosion.
Keywords :
Chrome Nickel-based Steels, Milling, Machinability, Taguchi, Test Design, Surface Roughness.