TAGUCHI OPTIMIZATION OF MULTIPLE PERFORMANCE CHARACTERISTICS IN THE ELECTRICAL DISCHARGE MACHINING OF THE TIGR2

33Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

Electrical discharge machining (EDM) provides many advantages for the shaping of metallic materials. It also provides better surface quality for Ti alloys used in the defense industry. In this study, experiments were carried out with different EDM parameters using the Titanium (Gr2) alloy. A number of novel industrial processes have been developed as a result of advances in technology. For a product to be developed, these novel approaches must be utilized to determine optimum parameters. The Taguchi method was applied in the experiments with EDM. The impact the test parameters had on the performance characteristics of tool wear rate, material removal rate, depth, and surface roughness were analyzed by the variance analysis (ANOVA). Quadratic regression analyses were carried out to reveal the correlation between the experimental results and the predicted values. According to the ANOVA results for material removal rate (MRR), tool wear rate (TWR), depth, and surface roughness, the most effective factor was amperage, at 99.66%, 99.56%, 87.95%, and 81.12%, respectively. The best value for average surface roughness was determined to be 3.29 µm obtained at 120 μs time-on, 8 A, and 40 μs time-off.

References Powered by Scopus

Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning

567Citations
N/AReaders
Get full text

Surface roughness optimization in an end-milling operation using the Taguchi design method

379Citations
N/AReaders
Get full text

Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts

322Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Machine learning for multi-dimensional performance optimization and predictive modelling of nanopowder-mixed electric discharge machining (EDM)

33Citations
N/AReaders
Get full text

The state of the art of electrical discharge drilling: a review

28Citations
N/AReaders
Get full text

Experimental modeling techniques in electrical discharge machining (EDM): A review

24Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Akıncıoğlu, S. (2022). TAGUCHI OPTIMIZATION OF MULTIPLE PERFORMANCE CHARACTERISTICS IN THE ELECTRICAL DISCHARGE MACHINING OF THE TIGR2. Facta Universitatis, Series: Mechanical Engineering, 20(2), 237–253. https://doi.org/10.22190/FUME201230028A

Readers' Seniority

Tooltip

Researcher 3

60%

PhD / Post grad / Masters / Doc 2

40%

Readers' Discipline

Tooltip

Engineering 5

100%

Save time finding and organizing research with Mendeley

Sign up for free