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 |