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IJSTR >> Volume 9 - Issue 3, March 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Prediction Of CNC Machining Parameters For Teak Wood By Using Svm Method

[Full Text]

 

AUTHOR(S)

K.Ajay, A.Nagaraju, Koona.Ramji

 

KEYWORDS

Surface roughness, SVM, Teak wood

 

ABSTRACT

Surface quality plays an important role in the process planning of any manufacturing industry including furniture industry.The objective of the paper is to develop a mathematical model to predict surface roughness of Teak wood material lusing CNC machining parameters. Experiments are conducted by varying Speed, feed rate and depth of cut first. The machined teak wood work pieces are analysed for surface roughness using Surftest SJ-210. The results are further evaluated using SVM method there by predicting surface roughness against machining parameters. Results proved the close relation between MRR and Surface roughness. Developed model is able to predict the surface roughness with an average error less than 8% proving its fitness for Teak wood material.

 

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