Abstract
The material AISI 4340 alloy steel is a heat-treatable steel containing Ni, Cr, and Mo, and has a variety of applications due to its unique properties. The input parameters considered are cutting speed, feed rate, and DOC while the output parameter is targeted as surface roughness (Ra). The machining experiments for the present study were conducted in wet conditions based on sequential approach by means of face-centered central composite design (FCC) and response surface methodology (RSM). The variation of surface roughness is best described by nonlinear quadratic model with the foremost influence of feed rate. The percentage contribution of feed rate (mm/rev) is 86.34%, cutting speed (m/min) is 0.62%, and depth of cut (mm) is 0.34% on surface roughness in unheat-treated and with coolant cutting condition.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lima, J.G., Avila, R.F., Abrao, A.M., Faustino, M., Davim, J.P.: Hard turning: AISI 4340 high strength low alloy steel and AISI D2 cold work tool steel. J. Mater. Process. Technol. 169, 388–395 (2005)
Sahoo, A.K., Sahoo, B.: Experimental investigations on machinability aspects in finish hard turning of AISI 4340 steel using uncoated and multilayer coated carbide inserts. Measurement 45, 2153–2165 (2012)
Suresh, R., Basavarajappa, S., Samuel, G.L.: Some studies on hard turning of AISI 4340 steel using multilayer coated carbide tool. Measurement 45, 1872–1884 (2012)
Suresh, R., Basavarajappa, S., Gaitonde, V.N., Samuel, G.L.: Machinability investigations on hardened AISI 4340 steel using coated carbide insert. Int. J. Refract Metal Hard. Mater. 33, 75–86 (2012)
Lalbondre, R., Krishna, P., Mohankumar, G.C.: Machinability studies of low alloy steels by face turning method: an experimental investigation. Procedia Eng. 64, 632–641 (2013)
Rashid, W.B., Goel, S., Luo, X., Ritchie, J.M.: The development of a surface defect machining method for hard turning processes. Wear 302, 1124–1135 (2013)
Das, S.R., Kumar, A., Dhupal, D.: Effect of machining parameters on surface roughness in machining of hardened AISI 4340 steel using coated carbide inserts. Int. J. Innov. Appl. Stud. 2, 445–453 (2013)
Adinarayana, M., Prasanthi, G., Krishnaiah, G.: Parametric analysis and multi objective optimization of cutting parameters in turning operation of AISI 4340 alloy steel with CVD cutting tool. Int. J. Res. Eng. Technol. 3, 449–456 (2014)
Agarwal, A., Goel, S., Rashid, W.B., Pierce, M.: Prediction of surface roughness during hard turning of AISI 4340 steel (69 HRC). Appl. Soft Comput. 30, 279–286 (2015)
Ginting A., Skein, R., Cuaca, D., Herdianto, P., Masyithah, Z.: The characteristics of CVD- and PVD-coated carbide tools in hard turning of AISI 4340. Measurement (2018)
Patole, P.B., Kulkarni, V.V.: Optimization of process parameters based on surface roughness and cutting force in mql turning of AISI 4340 using nano fluid. Mater. Today Proc. 5, 104–112 (2018)
Montgomery, D.C.: Design and Analysis of Experiments 8th edn. Wiley (2001)
Lalwani, D.I., Mehta, N.K., Jain, P.K.: Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel. J. Mater. Process. Technol. 206, 167–179 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Banker, V.J., Mistry, J.M., Patel, M.H. (2020). Experimental Investigation of Cutting Parameters on Surface Roughness in Hard Turning of AISI 4340 Alloy Steel. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. Advances in Intelligent Systems and Computing, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-8196-6_64
Download citation
DOI: https://doi.org/10.1007/978-981-13-8196-6_64
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8195-9
Online ISBN: 978-981-13-8196-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)