A comparative investigation of Taguchi and full factorial design for machinability prediction in turning of a titanium alloy

•Comparison of Taguchi Experimental Design and full factorial design.•Machinability performance in turning of difficult-to-cut material (Ti6Al4V ELI alloy).•Application of statistical methods to characterize the machinability performance.•Taguchi Design does not always give the same results as full...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2020-02, Vol.151, p.107213, Article 107213
Main Authors: Kechagias, John D., Aslani, Kyriaki-Evangelia, Fountas, Nikolaos A., Vaxevanidis, Nikolaos M., Manolakos, Dimitrios E.
Format: Article
Language:English
Subjects:
Arrays
Comparison
Cutting force
Data analysis
Design for machining
Design of experiments
Factorial design
Feed rate
Full factorial design
Independent variables
Machinability
Orthogonality
Surface roughness
Taguchi design
Taguchi methods
Titanium
Titanium alloy
Titanium alloys
Titanium base alloys
Turning (machining)
Variance analysis
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Summary:•Comparison of Taguchi Experimental Design and full factorial design.•Machinability performance in turning of difficult-to-cut material (Ti6Al4V ELI alloy).•Application of statistical methods to characterize the machinability performance.•Taguchi Design does not always give the same results as full factorial design. This study investigates the machinability performance during dry longitudinal turning of Ti-6Al-4V-ELI titanium alloy using Taguchi Experimental Design (TED) and full factorial design (FFD). Main cutting force (Fc) and mean surface roughness (Ra) are selected as the output machinability parameters. Spindle speed (n), feed rate (s) and depth of cut (a) are the independent input cutting variables, each one having three different levels. A complete combination array of 27 (33) experiments was realized and the machinability performance is recorded. Then, the “full 27-array” is divided in three sub-arrays, each one having the “orthogonality property-OP” according to Taguchi L9 array. The performance of each sub-array is analyzed using both stem-and-leaf and box plots, as well as analysis of means (ANOM) and analysis of variance (ANOVA) and is compared with the FFD one. Data analysis (DA) during present study indicates that Taguchi design is appropriate for analyzing machinability issues of “difficult-to-cut” materials.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2019.107213