Author Affiliations
School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei , Anhui 230601, Chinashow less
Fig. 1. Surface topography of 316L stainless steel powders
Fig. 2. Forming strategy of the SLM
Fig. 3. OM image of samples surface fabricated by SLM. (a) X-Y direction; (b) Y-Z direction
Fig. 4. SEM image of 316L stainless steel microstructure fabricated by SLM
Fig. 5. SEM images of the surface of SLM-formed samples under different LED. (a) 270 J/m; (b) 240 J/m; (c) 210 J/m; (d) 180 J/m; (e) 150 J/m
Fig. 6. SEM images of the surface of SLM-formed samples under different powers. (a) 140 W; (b) 160 W;
Fig. 7. Relationship between LED and surface roughness of samples under different laser power
Fig. 8. Structure of the BP neural network
Fig. 9. Flow chart of the GA-BP neural network
Fig. 10. Prediction error of GA-BP and BP neural networks
Component | Fe | Cr | Ni | Mo | Mn | Si | P | C | S | O | N |
---|
Mass fraction | bal | 17.94 | 11.92 | 2.46 | 0.051 | 0.56 | <0.01 | 0.0094 | 0.02 | 0.015 | 0.0086 |
|
Table 1. Chemical components of 316L stainless steel powder
Parameter | Value |
---|
LED /(J·m-1) | 150/180/210/240/270 | Laser power P /W | 140/160/180/200/220 | Scanning speed v /(mm·s-1) | 500‒1500 | thickness of powder layer d /mm | 0.3 | Spot diameters D /µm | 35 | Scanning strategy | adjacent layers rotate 67° |
|
Table 2. Process parameters of the SLM
LED /(J·m-1) | Laser power /W |
---|
140 | 160 | 180 | 200 | 220 |
---|
150 | 17.657 | 17.602 | 17.965 | 15.710 | 24.198 | 180 | 14.083 | 16.058 | 16.253 | 19.389 | 15.877 | 210 | 13.347 | 14.840 | 14.628 | 19.000 | 17.764 | 240 | 16.487 | 16.897 | 18.306 | 16.923 | 20.066 | 270 | 16.394 | 24.686 | 21.497 | 24.200 | 29.270 |
|
Table 3. Surface roughness of samples with different laser power and LED
P /W | v/(m·s-1) | Experimental value /μm | BP neural network | GA-BP neural network |
---|
Predicted value /μm | MAPE /% | Predicted value /μm | MAPE /% |
---|
140 | 0.52 | 16.394 | 25.5811 | 56.0 | 17.8396 | 8.8 | 160 | 0.67 | 16.897 | 25.5622 | 51.3 | 17.2842 | 2.3 | 180 | 0.86 | 14.628 | 25.3940 | 73.6 | 16.3784 | 12.0 | 200 | 1.11 | 19.389 | 20.6881 | 6.7 | 17.7661 | 8.4 | 220 | 1.47 | 24.198 | 7.5586 | 68.8 | 24.2610 | 0.3 |
|
Table 4. Experimental and predicted results of surface roughness