Multi response prediction of cutting force and delamination in carbon fiber reinforced polymer using backpropagation neural network-genetic algorithm | Zendy

Fathi Robbany | Zendy; Bambang Pramujati | Zendy; Suhardjono Suhardjono Suhardjono | Zendy; Mohammad Khoirul Effendi | Zendy; Bobby Oedy Pramoedyo Soepangkat | Zendy; Rachmadi Norcahyo | Zendy

Open Access

Multi response prediction of cutting force and delamination in carbon fiber reinforced polymer using backpropagation neural network-genetic algorithm

Author(s) -

Fathi Robbany,

Bambang Pramujati,

Suhardjono Suhardjono Suhardjono,

Mohammad Khoirul Effendi,

Bobby Oedy Pramoedyo Soepangkat,

Rachmadi Norcahyo

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 - 10.1063/1.5112416

Subject(s) - delamination (geology) , machining , backpropagation , artificial neural network , materials science , genetic algorithm , carbon fiber reinforced polymer , factorial experiment , composite material , mechanical engineering , computer science , structural engineering , engineering , composite number , machine learning , metallurgy , paleontology , tectonics , subduction , biology

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