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Predictive modelling of surface roughness and kerf widths in abrasive water jet cutting of Kevlar composites using neural network
M. Shukla, P.B. Tambe
Research output
:
Contribution to journal
›
Article
›
peer-review
21
Citations (Scopus)
Overview
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Dive into the research topics of 'Predictive modelling of surface roughness and kerf widths in abrasive water jet cutting of Kevlar composites using neural network'. Together they form a unique fingerprint.
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Engineering
Abrasive Water Jet
100%
Backpropagation
20%
Characteristics
20%
Complex Process
20%
Composite
100%
Copyrights
20%
Cut Material
20%
Cut Surface
40%
Cutting
100%
Demonstrates
20%
Epoxy Composite
20%
Experimental Result
20%
Experiments
20%
Fibre-Reinforced Polymer Composite
20%
Flow Rate
20%
Kerf
100%
Kevlar Fibre
20%
Machining
20%
Models
40%
Network Model
20%
Networks
100%
Neural Network Training
20%
Prediction
20%
Process Parameter
20%
Quality Level
20%
Roughness
100%
Surface Quality
20%
Surfaces
100%
Water
20%
Material Science
Composite Material
100%
Kevlar
100%
Machining
33%
Material
33%
Polymer Composite
33%
Reinforced Plastic
33%
Surface Property
33%
Surface Property
33%
Surface Roughness
100%