Browse by author
Lookup NU author(s): Dr Dehong Huo
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2021, The Author(s). Inconel 718 is famous for its applications in the aerospace industry due to its inherent properties of corrosion resistance, wear resistance, high creep strength, and high hot hardness. Despite the favorable properties, it has poor machinability due to low thermal conductivity and high hot hardness. To limit the influence of high cutting temperature in the cutting zone, application of cutting flood is recommended during the cutting operation. Cryogenic cooling is the recommended method when machining Inconel 718. However, there is very limited literature available when it comes to the numerical finite element modeling of the process. This current study is focused on the machinability analysis of Inconel 718 using numerical approach with experimental validations. Dry and cryogenic cooling methods were compared in terms of associated parameters such as chip compression ratio, shear angle, contact length, cutting forces, and energy consumption for the primary and secondary deformation zones. In addition, parameters related to chip morphology were also investigated under both lubrication methods. Chip formation in cryogenic machining was well captured by the finite element assisted model and found in good agreement with the experimental chip morphology. Both experimental and numerical observations revealed comparatively less chip compression ratio in the cryogenic cooling with larger value of shear plane angle. This results in the smaller tool–chip contact length and better comparative lubrication.
Author(s): Pervaiz S, Kannan S, Anwar S, Huo D
Publication type: Article
Publication status: Published
Journal: International Journal of Advanced Manufacturing Technology
Year: 2022
Volume: 118
Pages: 3801-3818
Print publication date: 01/02/2022
Online publication date: 18/10/2021
Acceptance date: 01/10/2021
Date deposited: 01/11/2021
ISSN (print): 0268-3768
ISSN (electronic): 1433-3015
Publisher: Springer Nature
URL: https://doi.org/10.1007/s00170-021-08173-1
DOI: 10.1007/s00170-021-08173-1
Altmetrics provided by Altmetric
