A Novel Hybrid Transform approach with integration of Fast Fourier, Discrete Wavelet and Discrete Shearlet Transforms for prediction of surface roughness on machined surfaces

Author:

Prabhakar D.V.N.,Sreenivasa Kumar M.,Gopala Krishna A.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference39 articles.

1. Surface roughness prediction model of 6061–T6 aluminium alloy machining using statistical method;Kadirgama;Eur. J. Sci. Res.,2009

2. An integrated study of surface roughness for modelling and optimization of cutting parameters during end milling operation;Öktem;Int. J. Adv. Manuf. Technol.,2009

3. Optimization of cutting conditions for surface roughness in CNC end milling;Raju;Int. J. Precis. Eng. Manuf.,2011

4. Selection of optimum tool geometry and cutting conditions using a surface roughness prediction model for end milling;Reddy;Int. J. Adv. Manuf. Technol.,2005

5. Study on tool wear and surface roughness in machining of particulate aluminum metal matrix composite-response surface methodology approach;Seeman;Int. J. Adv. Manuf. Technol.,2010

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