Application of Taguchi Method for Optimization of Parameters in Turning Operation

Cutting tool vibration analysis is the effective way to understand the machining characteristics of any material. In the present work, the effect of process parameters on cutting tool vibration is estimated using Taguchi method in turning of EN25 steel. Taguchi method uses Signal-to-Noise ratio (S/N...

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Bibliographic Details
Published inJournal for Manufacturing Science and Production Vol. 16; no. 3; p. 183
Main Authors Singaravel, B, Selvaraj, T
Format Journal Article
LanguageEnglish
Published New York American Society of Mechanical Engineers 01.09.2016
Subjects
Accelerometers
Accuracy
Analysis
Carbide cutting tools
Carbon steel
Chemical vapor deposition
Cutting tools
Design of experiments
Engineering
Geometry
High speed machining
Literature reviews
Neural networks
Studies
Taguchi methods
Titanium alloys
Variance analysis
Vibration
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Summary:Cutting tool vibration analysis is the effective way to understand the machining characteristics of any material. In the present work, the effect of process parameters on cutting tool vibration is estimated using Taguchi method in turning of EN25 steel. Taguchi method uses Signal-to-Noise ratio (S/N) and Analysis of Variance (ANOVA) to determine the optimum level of process parameters and significant parameters. The results showed that cutting speed of 215 m/min, feed rate of 0.07 mm/rev and depth of cut of 0.5 mm are the optimum combination of process parameters. Cutting speed and depth of cut are the influencing parameters on cutting tool vibration. The results are experimentally verified and the results based on turning process response can be effectively improved.
ISSN:0793-6648
2191-0375
DOI:10.1515/jmsp-2016-0004