Materials · 2019 · 27 citations · 24 references
EngineeringMaterials EngineeringMaterials ScienceMaterials CharacterizationMaterials ProcessingMetallurgyAlloysLaser Material ProcessingLaser Surface ProcessingSurface HardnessWear ResistanceWear-resistant MaterialsExperimental ValidationGas FlowHardnessLaser CladdingLaser Power OptimizationProcess Parameter OptimizationWear Resistance ImprovementWear-resistant Alloys
The influence of processing parameters on the micro-hardness and wear resistance of a Ni-based alloy and titanium carbide (TiC) composite cladding layer was studied. Mathematical models were developed to predict the micro-hardness and wear resistance of the cladding layer by controlling the laser cladding processing parameters. Key processing parameters were the laser power, scanning speed, gas flow, and TiC powder ratio. The models were validated by analysis of variance and parameter optimization. Results show that the micro-hardness is positively correlated with laser power and TiC powder ratio, where the TiC powder ratio shows the most significant impact. The wear volume decreased with an increasing TiC powder ratio. The targets for the processing parameter optimization were set to 62 HRC for micro-hardness and a minimal volume wear. The difference between the model prediction value and experimental validation result for micro-hardness and wear volume were 1.87% and 6.33%, respectively. These models provide guidance to optimize the processing parameters to achieve a desired micro-hardness and maximize wear resistance in a composite cladding layer.
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Fiber laser cladding of nickel-based alloy on cast iron
F. Arias-González, R. Comesaña, J. Penide et al. · Applied Surface Science · 2015 · 143 citations
Natural Sciences, Materials Engineering, Materials Science +16