531
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Experimental studies on cryogenic CO2 face milling of Inconel 625 superalloy

&
Pages 814-826 | Received 14 Oct 2020, Accepted 24 Nov 2020, Published online: 23 Dec 2020
 

ABSTRACT

In this study, face milling operation was carried out on an Inconel 625 superalloy. About 27 experiments (L27) were conducted using Design of Experiments (DOE), which comprised three levels of cutting speed (Vc) and feed rate (fz) with a constant cutting depth (ap). The study included three coolant environmental conditions such as no coolant (dry), normal coolant (wet) and cryogenic CO2 coolant. The output responses such as cutting temperature (Ts), cutting forces (Fx, Fy and Fz) and surface roughness (Ra) were observed during the experiments. The results were optimized using the TOPSIS technique with ANOVA tests. The optimization results of highest closeness coefficient (Ci) value indicated the lowest level of cryogenic CO2 coolant environment and the input parameters were the cutting speed (Vc) 80 m/min and feed rate (fz) 0.05 mm/tooth. The optimization results of the highest closeness coefficient (Ci) value were at cutting speed (Vc) 80 m/min, feed rate (fz) 0.05 mm/tooth in cryogenic CO2 coolant environment. The findings indicated that cryogenic CO2 was both environmentally harmless and the best choice in comparison with dry and wet coolant.

Acknowledgments

The authors would like to thank Dr T. Sundararajan, Professor, Department of Mechanical Engineering, IIT Madras, Chennai, for providing the experimental facilities.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 561.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.