研究目的
Investigating the influence of processing parameters on the micro-hardness and wear resistance of a Ni-based alloy and TiC composite coating obtained by laser cladding, and developing mathematical models to predict these properties.
研究成果
Mathematical models were successfully developed to predict micro-hardness and wear volume with high accuracy (errors of 1.87% and 6.33%, respectively). TiC powder ratio has the most significant impact on both properties. Optimized parameters (laser power 1.5 kW, scanning speed 4 mm/s, gas flow 1400 L/h, TiC ratio 27%) improved wear resistance by 6.17 times and reduced wear volume by 83.8% compared to the substrate. The models provide effective guidance for parameter optimization in industrial applications.
研究不足
The study is limited to specific materials (Ni35A and TiC powders, AISI/SAE 1045 steel) and processing parameters ranges; equipment set point accuracy may affect optimization; chemical reactions during cladding are assumed negligible, which might not hold in all cases.
1:Experimental Design and Method Selection:
Used response surface methodology (RSM) with central composite design (CCD) to build mathematical models for micro-hardness and wear volume based on laser cladding parameters (laser power, scanning speed, gas flow, TiC powder ratio).
2:Sample Selection and Data Sources:
AISI/SAE 1045 steel substrate (40 mm × 20 mm × 5 mm) with Ni35A and TiC powder (particle size 48–106 μm).
3:List of Experimental Equipment and Materials:
Laser system (YLS-3000, IPG), laser cladding nozzle (FDH0273, Lasermech), industrial robot (M-710iC/50, FANUC), water cooling system (TFLW-4000WDR-01-3385, Sanhe Tongfei), powder feeding system (CR-PGF-D-2, Songxing), control system (PLC, Mitsubishi), laser pulse control system (SX14-012PULSE, IPG), ball mill machine (MITR-YXQM-2L, MITR), micro-hardness tester (MVA-402TS, HDNS), SEM (TM3030Plus, HITACHI), EDS system (A550I, IXRF), scratch tester (UMT-2, Bruker), XRD systems (Ultima IV, Rigaku).
4:Experimental Procedures and Operational Workflow:
Substrate cleaned with ethanol; powders mixed in ball mill and dried; laser cladding performed; samples cut, set, ground, polished, etched; micro-hardness measured; microstructure observed with SEM and EDS; wear resistance tested with scratch tester; XRD analysis conducted; wear volume calculated.
5:Data Analysis Methods:
Analysis of variance (ANOVA), multiple regression analysis, polynomial regression functions for modeling.
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Laser System
YLS-3000
IPG
Used for laser cladding to melt the powder and substrate.
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Laser Pulse Control System
SX14-012PULSE
IPG
Controls laser pulses.
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Scanning Electron Microscope
TM3030Plus
HITACHI
Observes microstructure of samples.
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Scratch Tester
UMT-2
Bruker
Tests wear resistance.
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XRD Systems
Ultima IV
Rigaku
Conducts X-ray diffraction analysis.
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Laser Cladding Nozzle
FDH0273
Lasermech
Focuses the laser beam for cladding.
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Industrial Robot
M-710iC/50
FANUC
Automates the movement during laser cladding.
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Water Cooling System
TFLW-4000WDR-01-3385
Sanhe Tongfei
Cools the laser system during operation.
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Powder Feeding System
CR-PGF-D-2
Songxing
Feeds the powder during laser cladding.
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Control System
PLC
Mitsubishi
Controls the laser cladding process.
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Ball Mill Machine
MITR-YXQM-2L
MITR
Mixes Ni35A and TiC powders.
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Micro-hardness Tester
MVA-402TS
HDNS
Measures micro-hardness of the cladding layer.
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EDS System
A550I
IXRF
Performs element analysis.
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