Yifan Pang, Geyan Fu, Mingyu Wang, Yanqi Gong, Siqi Yu, Jiachao Xu, Fan Liu. Parameter Optimization of High Deposition Rate Laser Cladding Based on the Response Surface Method and Genetic Neural Network Model[J]. Chinese Journal of Lasers, 2021, 48(6): 0602112
- Chinese Journal of Lasers
- Vol. 48, Issue 6, 0602112 (2021)
Fig. 1. Schematic diagram of laser cladding with powder feeding
Fig. 2. Diagram of experimental equipment
Fig. 3. Schematic diagram of weld passage section
Fig. 4. Microstructure of laser cladding Fe314 with different deposition rates. (a) Sample 1; (b) sample 9
Fig. 5. BBD experimental parameters and results
Fig. 6. Random parameter experimental parameters and results
Fig. 7. Interactive influence of process parameters on deposition rate. (a) Powder feeding velocity and power; (b) defocus and power; (c) scanning velocity and powder feeding velocity
Fig. 8. Topological structure of BP neural network
Fig. 9. Diagrams of error iteration. (a) Evolution of genetic fitness; (b) iteration of neural network error
Fig. 10. Predicted comparison results of RSM and GA-BP models. (a) Model of RSM; (b) model of GA-BP
Fig. 11. Comparison of RSM and GA-BP generalization ability
Fig. 12. Comparison of optimization results between RSM and GA-BP
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Table 1. Composition of Fe314 powder unit: %
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Table 2. Orthogonal experimental parameters and results
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Table 3. Orthogonal experimental range analysis results
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Table 4. Analysis of variance of deposition rate predicted by RSM model
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