FORM ACCURACY AND CUTTING FORCES IN TURNING OF X5CRNI18-10 SHAFTS: A STUDY ON CYLINDRICITY, COAXIALITY, STRAIGHTNESS, AND WAVINESS AT SMALL FEEDS

Authors

DOI:

https://doi.org/10.20998/2078-7405.2025.102.08

Keywords:

turning, cutting parameters, cutting forces, cylindricity, straightness, waviness

Abstract

This paper investigates how the cutting speed (vc), feed rate (f) and depth of cut affects the cutting forces and the quality of the surface during turning operations. For the study different experiments have been performed at two depths of cut (0.5 mm and 1.0 mm) to observe how they affect the cutting force, cylindricity, coaxiality (COAX DIN), straightness and waviness. From the results it can be said that the cutting forces and surface deviations increase with the increase in depth of cut. Cutting force normally brings down the forces and enhances surface quality but feed rate has exactly opposite impact. Thus, it is necessary to choose parameters wisely to keep machining efficiency and dimensional accuracy in balance.

Author Biographies

Muhammad Hamza Daud, University of Miskolc, Hungary

Student of the Institute of Manufacturing Science, University of Miskolc, Department of Production Engineering, Miskolc - Egyetemváros, Hungary

El Majdoub Wafae, University of Miskolc, Hungary

Student of the Institute of Manufacturing Science, University of Miskolc, Department of Production Engineering, Miskolc - Egyetemváros, Hungary

Sztankovics István, University of Miskolc, Hungary

Associate Professor, Deputy Director of the Institute of Manufacturing Science, University of Miskolc, Department of Production Engineering, Miskolc - Egyetemváros, Hungary. He graduated from the Faculty of Mechanical Engineering and Information Technology of the University of Miskolc with a bachelor's degree in mechanical engineering (January 2009) and a master's degree (January 2011). Assistant Professor from September 2013, Adjunct Professor from July 2022 at the Institute of Manufacturing Engineering. Deputy Director of the Institute from September 2022. Associate Professor since September 2023. Fields of expertise: machine technology, machining theory, assembly, tool and equipment design.

References

Petropoulos, G.; Pandazaras, C.; Davim, J. P. Surface integrity in machining. In Surface Integrity in Machining 2010. https://doi.org/10.1007/978-1-84882-874-2_2

Kalpakjian, S.; Schmid, S.; Sekar, V. Manufacturing engineering and technology. 2013.

Altintas, Y.; Ber, A. A. Manufacturing automation: Metal cutting mechanics, machine tool vibrations, and CNC design. Applied Mechanics Reviews 2001, 54. https://doi.org/10.1115/1.1399383

Campos, P. H. S.; Davim, J. P.; Ferreira, J.; Paiva, A.; Balestrassi, P. The machinability of hard materials – A review. In Machinability of Advanced Materials 2014. https://doi.org/10.1002/9781118576854.ch5

Nouari, M.; List, G.; Girot, F.; Coupard, D. Experimental analysis and optimisation of tool wear in dry machining of aluminium alloys. Wear 2003, 255, 1359–1368. https://doi.org/10.1016/S0043-1648(03)00105-4

Ghani, J. A.; Haron, C. H. C.; Kasim, M. S.; Sulaiman, M. A.; Tomadi, S. H. Wear mechanism of coated and uncoated carbide cutting tool in machining process. Journal of Materials Research 2016, 31, 1873–1879. https://doi.org/10.1557/jmr.2015.382

Kaladhar, M.; Kambagowni, V.; Rao, C. S. Machining of austenitic stainless steels – A review. International Journal of Machining and Machinability of Materials 2012, 12, 178–192. https://doi.org/10.1504/IJMMM.2012.048564

Kovalchenko, A. Studies of the ductile mode of cutting brittle materials (A review). Journal of Superhard Materials 2013, 35. https://doi.org/10.3103/S1063457613050018

Adesta, E.; Riza, M.; Al Hazza, M.; Agusman, D.; Rosehan, R. Tool wear and surface finish investigation in high speed turning using cermet insert by applying negative rake angles. European Journal of Scientific Research 2009, 38, 180–188.

Grzesik, W. Advanced machining processes of metallic materials: Theory, modelling, and applications, 2nd ed.; Elsevier, 2016.

Özel, T. Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks. International Journal of Machine Tools and Manufacture 2005, 45, 467–479. https://doi.org/10.1016/j.ijmachtools.2004.09.007

Ozcelik, B.; Bayramoğlu, M. The statistical modeling of surface roughness in high-speed flat end milling. International Journal of Machine Tools and Manufacture 2006, 46, 1395–1402. https://doi.org/10.1016/j.ijmachtools.2005.10.005

Saini, S.; Ahuja, I.; Sharma, V. The effect of cutting parameters on surface integrity in hard turning. Applied Mechanics and Materials 2011, 110–116, 751–757. https://doi.org/10.4028/www.scientific.net/AMM.110-116.751

Benardos, P. G.; Vosniakos, G. C. Predicting surface roughness in machining: A review. International Journal of Machine Tools and Manufacture 2003, 43, 833–844. https://doi.org/10.1016/S0890-6955(03)00059-2

Dogra, M.; Sharma, V. S.; Dureja, J. Effect of tool geometry variation on finish turning – A review. Journal of Engineering Science and Technology Review 2011, 4, 1–13. https://doi.org/10.25103/jestr.041.01

Padhan, S.; Wagri, N.; Dash, L.; Das, A.; Das, S.; Rafighi, M.; Sharma, P. Investigation on surface integrity in hard turning of AISI 4140 steel with SPPP AlTiSiN coated carbide insert under nano MQL. Lubricants 2023, 11, 49. https://doi.org/10.3390/lubricants11020049

Sivaprakasam, T.; Hasan, S. Machinability of hard martensitic stainless steel and hard alloy steel by CBN and PCBN tools by turning process. Proceedings of the World Congress on Engineering 2011, 1

Downloads

Published

2025-06-20

Issue

Section

Mechanical processing of materials, the theory of cutting materials, mathematical and computer simulation of machining p