Multi-response optimization of cutting force and surface roughness in carbon fiber reinforced polymer end milling using back propagation neural network and genetic algorithm | Zendy

Philipus Andreas Lega Laot | Zendy; Suhardjono Suhardjono Suhardjono | Zendy; Sutikno Sutikno | Zendy; Sampurno | Zendy

Open Access

Multi-response optimization of cutting force and surface roughness in carbon fiber reinforced polymer end milling using back propagation neural network and genetic algorithm

Author(s) -

Philipus Andreas Lega Laot,

Suhardjono Suhardjono Suhardjono,

Sutikno Sutikno,

Sampurno

Publication year - 2019

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.5112385

Subject(s) - machining , artificial neural network , materials science , genetic algorithm , surface roughness , carbon fiber reinforced polymer , backpropagation , toughness , aerospace , mechanical engineering , surface finish , computer science , response surface methodology , composite material , structural engineering , composite number , engineering , machine learning , metallurgy , aerospace engineering

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