Multi-response optimization of carbon fiber reinforced polymer (CFRP) drilling using back propagation neural network-particle swarm optimization (BPNN-PSO)
An integrated approach has been applied to predict and optimize multi-performance-characteristics, being optimum thrust force (FTh), torque (M), hole entry delamination (FDen) and hole exit delamination (FDex), in the drilling process of carbon fiber reinforced polymer (CFRP). The drilling operation...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-06-01
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Series: | Engineering Science and Technology, an International Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098619304446 |