Author Affiliations
1Faculty of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou, Liaoning 121001, China2Engineering Training Center, Liaoning University of Technology, Jinzhou, Liaoning 121001, Chinashow less
Fig. 1. Schematic of longitudinal section of cladding layer
Fig. 2. Test results
Fig. 3. Geometric model
Fig. 4. Meshing effect
Fig. 5. Cross-sectional morphology of molten pool
Fig. 9. Sectional morphology of cladding layer
Fig. 10. Schematic of path location
Fig. 11. Residual stress distributions on two paths. (a) path 1; (b) path 2
Element | C | Si | Mn | P | S | Cr | Ni | Fe |
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Value | 0.420-0.500 | 0.170-0.370 | 0.500-0.800 | ≤0.035 | ≤0.035 | ≤0.250 | ≤0.280 | Bal. |
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Table 1. Chemical compositions of 45 steel (mass fraction, %)
Element | C | Cr | Si | W | Fe | B | Ni |
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Value | 0.80 | 15.50 | 4.00 | 3.00 | 15.00 | 3.50 | Bal. |
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Table 2. Chemical compositions of Ni60 powder (mass fraction, %)
Variable | Notation | Unit | Value |
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Level -2 | Level -1 | Level 0 | Level 1 | Level 2 |
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Laser power | LP | W | 1200 | 1300 | 1400 | 1500 | 1600 | Scanning speed | SS | mm·s-1 | 4.0 | 4.5 | 5.0 | 5.5 | 6.0 | Power feeding voltage | PFV | V | 7.0 | 7.5 | 8.0 | 8.5 | 9.0 | Defocusing amount | DA | mm | 13 | 14 | 15 | 16 | 17 |
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Table 3. Cladding parameters and levels
Power feeding voltage /V | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
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Powder feeding rate /(g·min-1) | 6 | 7 | 9 | 10 | 11 | 13 | 16 | 17 | 18 | 21 | 22 | 24 | 24 | 25 |
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Table 4. Relationship between powder feeding voltage and powder feeding rate
ExperimentNo. | Laserpower /W | Scanning speed /( mm·s-1) | Power feedingvoltage /V | Defocusingamount /mm | Width-heightratio | Dilutionrate /% |
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1 | 1500 | 5.5 | 7.5 | 14 | 6.92 | 40.16 | 2 | 1300 | 4.5 | 8.5 | 14 | 2.87 | 26.85 | 3 | 1300 | 4.5 | 7.5 | 14 | 3.87 | 31.06 | 4 | 1200 | 5.0 | 8.0 | 15 | 7.10 | 34.36 | 5 | 1300 | 5.5 | 7.5 | 14 | 6.50 | 41.58 | 6 | 1400 | 5.0 | 8.0 | 13 | 3.98 | 34.80 | 7 | 1600 | 5.0 | 8.0 | 15 | 6.78 | 48.00 | 8 | 1400 | 6.0 | 8.0 | 15 | 9.95 | 47.57 | 9 | 1500 | 4.5 | 7.5 | 14 | 4.30 | 43.13 | 10 | 1400 | 5.0 | 8.0 | 15 | 6.67 | 46.20 | 11 | 1500 | 5.5 | 8.5 | 16 | 9.36 | 51.53 | 12 | 1400 | 5.0 | 8.0 | 15 | 7.31 | 50.29 | 13 | 1300 | 4.5 | 7.5 | 16 | 8.21 | 41.13 | 14 | 1400 | 5.0 | 7.0 | 15 | 9.88 | 49.81 | 15 | 1400 | 5.0 | 8.0 | 17 | 10.42 | 54.16 | 16 | 1500 | 4.5 | 8.5 | 16 | 7.16 | 51.38 | 17 | 1300 | 5.5 | 7.5 | 16 | 11.43 | 46.25 | 18 | 1400 | 5.0 | 9.0 | 15 | 8.23 | 44.48 | 19 | 1400 | 5.0 | 8.0 | 15 | 7.01 | 48.93 | 20 | 1300 | 5.5 | 8.5 | 14 | 5.35 | 35.94 | 21 | 1500 | 4.5 | 8.5 | 14 | 3.20 | 35.80 | 22 | 1300 | 4.5 | 8.5 | 16 | 6.26 | 41.75 | 23 | 1500 | 5.5 | 7.5 | 16 | 10.47 | 51.91 | 24 | 1500 | 4.5 | 7.5 | 16 | 8.99 | 54.65 | 25 | 1500 | 5.5 | 8.5 | 14 | 5.96 | 37.44 | 26 | 1400 | 5.0 | 8.0 | 15 | 6.22 | 51.98 | 27 | 1400 | 4.0 | 8.0 | 15 | 3.17 | 40.67 | 28 | 1400 | 5.0 | 8.0 | 15 | 5.89 | 47.71 | 29 | 1300 | 5.5 | 8.5 | 16 | 8.25 | 44.64 | 30 | 1400 | 5.0 | 8.0 | 15 | 5.50 | 49.90 |
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Table 5. Central composite design and results
Source | Sum of squares | Mean square | F-value | P-value | Reliability |
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Model | 144.77 | 36.19 | 84.13 | <0.0001 | Significant | S | 45.21 | 45.21 | 105.09 | <0.0001 | | V | 10.11 | 10.11 | 23.51 | <0.0001 | | D | 80.81 | 80.81 | 187.86 | <0.0001 | | V2 | 8.64 | 8.64 | 20.08 | 0.0001 | | Residual | 10.75 | 0.43 | | | | Lack-of-fit value | 8.39 | 0.43 | 0.88 | 0.6232 | Not significant | Pure error | 2.37 | 0.47 | | | | Total | 155.53 | | | | | R2=0.9309 | | | =0.8861 | | | =0.9198 | | | Signal-to-noise ratio: 30.154 | | |
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Table 6. Variance analysis of width-height ratio
Source | Sum of squares | Mean square | F-value | P-value | Reliability |
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Model | 1424.73 | 129.52 | 31.34 | <0.0001 | Significant | P | 294.56 | 294.56 | 71.72 | <0.0001 | | S | 58.59 | 58.59 | 14.18 | 0.0014 | | V | 51.63 | 51.63 | 12.49 | 0.0024 | | D | 704.17 | 704.17 | 170.39 | <0.0001 | | P×S | 62.17 | 62.17 | 15.04 | 0.0011 | | P×D | 13.32 | 13.32 | 3.22 | 0.0894 | | V×D | 14.55 | 14.55 | 3.52 | 0.0769 | | P2 | 149.63 | 149.63 | 36.20 | <0.0001 | | S2 | 70.27 | 70.27 | 17.00 | 0.0006 | | V2 | 19.56 | 19.56 | 4.73 | 0.0432 | | D2 | 62.59 | 62.59 | 15.15 | 0.0011 | | Residual | 74.39 | 4.13 | | | | Lack-of-fit value | 50.37 | 4.13 | 1.00 | 0.5456 | Not significant | Pure error | 20.69 | 4.14 | | | | Total | 1499.12 | | | | | R2=0.9504 | | | =0.8462 | | | =0.9201 | | | Signal-to-noise ratio: 19.478 | | |
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Table 7. Variance analysis of dilution rate
Parameter | Criterion | Limit |
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Low | Upper |
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Laser power | In range | 1200 W | 1600 W | Scanning speed | In range | 1 mm·s-1 | 3 mm·s-1 | Powder feeding voltage | In range | 7 V | 9 V | Defocusing amount | In range | 13 mm | 17 mm | W/H | In range | 3 | 6 | η | In range | 30% | 40% |
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Table 8. Optimization criteria
Parameter | Predicted result of model 1 | Predicted result of model 2 | Predicted result of model 3 | Actual result |
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LP /W | 1286.99 | 1281.53 | 1338 | 1290 | SS /(mm·s-1) | 3.73 | 3.87 | 3.44 | 3.70 | PFV /V | 8.32 | 8.23 | 7.38 | 8.30 | DA /mm | 14.45 | 14.23 | 13.82 | 14.50 | W /H | 4.508 | 4.506 | 4.419 | 4.800 | η /% | 35.125 | 35.165 | 35.135 | 38.000 | Desirability of model | 0.863 | 0.861 | 0.830 | |
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Table 9. Optimization results and validation