TY  - JOUR
AB  - Purpose– The accurate assessment of tool life of any given tool is a great significance in any manufacturing industry. The purpose of this paper is to predict the life of a cutting tool, in order to help decision making of the next scheduled replacement of tool and improve productivity. Design/methodology/approach– This paper reports the use of two soft computing techniques, namely, neuro-fuzzy logic and support vector regression (SVR) techniques for the assessment of cutting tools. In this work, experiments are conducted based on Taguchi approach and tool life values are obtained. Findings– The analysis is carried out using the two soft computing techniques. Tool life values are predicted using aforesaid techniques and these values are compared. Practical implications– The proposed approaches are relatively simple and can be implemented easily by using software like MATLAB and Weka. Originality/value– The proposed methodology compares neuro – fuzzy logic and SVR techniques.
VL  - 32
IS  - 3
SN  - 0265-671X
DO  - 10.1108/IJQRM-06-2012-0084
UR  - https://doi.org/10.1108/IJQRM-06-2012-0084
AU  - Gokulachandran Jaganathan
AU  - Mohandas K.
PY  - 2015
Y1  - 2015/01/01
TI  - Prediction of cutting tool life based on Taguchi approach with fuzzy logic and support vector regression techniques
T2  - International Journal of Quality & Reliability Management
PB  - Emerald Group Publishing Limited
SP  - 270
EP  - 290
Y2  - 2024/04/19
ER  -