INVESTIGATION OF THE EFFECTS OF THE CUTTING PARAMETERS AND COOLANT ON THE SURFACE ROUGHNESS VALUE IN THE MACHINING OF AISI 4340 WITH CBN TOOLS
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Keywords:
AISI 4340, hard turning, CBN, surface roughnessAbstract
With the heat treatment applied to the workpiece, the material gains are abrasion resistance, friction
resistance, thermal resistance and strength. However, hardening of the material makes to machining is
difficult. Advances in machine tool and CBN insert technology have facilitated the machining of hard
materials. Since CBN tools also prevent the increase of temperature, the use of coolant is not required.
In addition, achieving a grinding quality surface makes it possible to use hard turning as an alternative
to grinding. In this experimental study, AISI 4340 material with CBN tooling experiments which
were increased to 63 HRC hardness by heat treatment were applied. Cutting is done under cooling and
dry cutting conditions. Machining experiments were carried out at 3 different cutting speeds and 3
different feed rate at constant depth of cut. It was observed that surface roughness value increased with
increasing feed rate. It was observed that dry cutting conditions decreased the surface roughness value
in a small amount.
References
Ginting, A. et al. The characteristics of CVD- and PVD-coated carbide tools in hard turning of
AISI 4340. Meas. J. Int. Meas. Confed. (2018). doi:10.1016/j.measurement.2018.07.072
More, A. S., Jiang, W., Brown, W. D. & Malshe, A. P. Tool wear and machining performance of
cBN-TiN coated carbide inserts and PCBN compact inserts in turning AISI 4340 hardened steel. J.
Mater. Process. Technol. (2006). doi:10.1016/j.jmatprotec.2006.06.013
Chinchanikar, S. & Choudhury, S. K. Effect of work material hardness and cutting parameters on
performance of coated carbide tool when turning hardened steel: An optimization approach. Meas.
J. Int. Meas. Confed. (2013). doi:10.1016/j.measurement.2012.11.032
Boing, D., de Oliveira, A. J. & Schroeter, R. B. Limiting conditions for application of PVD
(TiAlN) and CVD (TiCN/Al2O3/TiN) coated cemented carbide grades in the turning of hardened
steels. Wear (2018). doi:10.1016/j.wear.2018.10.007
Karabulut, Ş. & Şahinoğlu, A. R260 Çeliklerinin İşlenmesinde Kesme Parametrelerinin Yüzey
Pürüzlülüğü, Güç Tüketimi ve Makine Gürültüsü Üzerine Etkileri. J. Polytech. 0900, 237–244
(2017).
Liu, N., Zhang, Y. F. & Lu, W. F. Improving Energy Efficiency in Discrete Parts Manufacturing
System using an Ultra-Flexible Job Shop Scheduling Algorithm. Int. J. Precis. Eng. Manuf. -
Green Technol. (2019). doi:10.1007/s40684-019-00055-y
Guo, Y., Loenders, J., Duflou, J. & Lauwers, B. Optimization of energy consumption and surface
quality in finish turning. in Procedia CIRP (2012). doi:10.1016/j.procir.2012.04.091
Shrouf, F., Ordieres-Meré, J., García-Sánchez, A. & Ortega-Mier, M. Optimizing the production
scheduling of a single machine to minimize total energy consumption costs. J. Clean. Prod. (2014).
doi:10.1016/j.jclepro.2013.12.024
Özel, T. & Karpat, Y. Predictive modeling of surface roughness and tool wear in hard turning using
regression and neural networks. Int. J. Mach. Tools Manuf. (2005).
doi:10.1016/j.ijmachtools.2004.09.007
Singh, D. & Rao, P. V. A surface roughness prediction model for hard turning process. Int. J. Adv.
Manuf. Technol. (2007). doi:10.1007/s00170-006-0429-2
Hessainia, Z., Belbah, A., Yallese, M. A., Mabrouki, T. & Rigal, J. F. On the prediction of surface
roughness in the hard turning based on cutting parameters and tool vibrations. Meas. J. Int. Meas.
Confed. (2013). doi:10.1016/j.measurement.2012.12.016
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