Version 1
: Received: 18 August 2020 / Approved: 20 August 2020 / Online: 20 August 2020 (05:44:27 CEST)
How to cite:
Jadhav, P.; Mohanty, C.P. A Combined Experimental and Optimization Model to Improve the Machinability of Nimonic C-263 Superalloy. Preprints2020, 2020080430. https://doi.org/10.20944/preprints202008.0430.v1
Jadhav, P.; Mohanty, C.P. A Combined Experimental and Optimization Model to Improve the Machinability of Nimonic C-263 Superalloy. Preprints 2020, 2020080430. https://doi.org/10.20944/preprints202008.0430.v1
Jadhav, P.; Mohanty, C.P. A Combined Experimental and Optimization Model to Improve the Machinability of Nimonic C-263 Superalloy. Preprints2020, 2020080430. https://doi.org/10.20944/preprints202008.0430.v1
APA Style
Jadhav, P., & Mohanty, C.P. (2020). A Combined Experimental and Optimization Model to Improve the Machinability of Nimonic C-263 Superalloy. Preprints. https://doi.org/10.20944/preprints202008.0430.v1
Chicago/Turabian Style
Jadhav, P. and Chinmaya Prasad Mohanty. 2020 "A Combined Experimental and Optimization Model to Improve the Machinability of Nimonic C-263 Superalloy" Preprints. https://doi.org/10.20944/preprints202008.0430.v1
Abstract
Nickel based superalloys finds extensive usage in manufacturing of intricate part shapes in gas turbine, aircraft, submarine, and chemical industries owing their excellent mechanical property and heat resistant abilities. However, machining of such difficult-to-machine alloys up to the desired accuracy and preciseness is a complex task owing to a rapid tool wear and failure. In view of this, present work proposes an experimental investigation and optimization of process parameters of the cryogenic assisted turning process during machining of Nimonic C-263 super alloy with a multilayer CVD insert. Taguchi’s L-27 orthogonal array is used plan the experiments. Effect of input parameters viz. cutting speed (N), cutting feed (f), depth of cut (d) are studied on responses viz. surface roughness (SR), nose wear (NW) and cutting forces (F) under hybrid cryogenic (direct+indirect) machining environment. A scanning electron microscope (SEM) analysis is carried out to explore the post-machining outcomes on the performance measures. The multiple responses are converted in to single response and ranked according to Taguchi based gray relational grade (TGRG). Feed rate (f) is found to be the most influential parameter from the analysis of variance of GRG. The means of GRG for each level of process parameters are used to improve the optimal process parameters further. Finally, the confirmative experiment is performed with these optimal set of process parameters which showed an improvement of 9.34% in the value of GRG. The proposed work can be beneficial to choose ideal process conditions to enhance the performance of turning operation.
Keywords
Nimonic C-263 alloy; surface roughness; Taguchi based Grey relational analysis
Subject
Engineering, Mechanical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
