Laser alloying of aluminium with electrodeposited nickel: optimisation of plating thickness and processing parameters

Selvan, J. Senthil; Soundararajan, Gowrishankar; Subramanian, K. G.

doi:10.1016/s0257-8972(99)00513-7

Cited by 32 publications

(4 citation statements)

References 17 publications

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“…Thermal Model: In order to obtain the pulse energy required to just barely reach the required melting point two methods, i) process mapping and ii) thermal prediction, were implemented. Surface temperature induced by the laser beam can be estimated using the Equation 2 [3,12]:…”

Section: Experimental and Model Set Upmentioning

confidence: 99%

Analysis of Microstructural Changes during Pulsed CO<sub>2</sub> Laser Surface Processing of AISI 316L Stainless Steel

Chikarakara

Naher

Brabazon

2011

AMR

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Abstract. In the present contribution, a 1.5kW CO 2 laser in pulsed wave mode was used to study the effects of laser processing parameters at specific energy fluence. Cylindrical AISI 316L stainless steel samples rotating perpendicular to the laser irradiation direction were used for these experiments. A surface temperature prediction model was implemented to set the experimental process parameters. Laser processing of AISI 316L steel showed a strong correlation between melt pool depth and the residence time at specific fluence levels. At fixed energy fluence, increase in residence time resulted in growth of the melt pool depth. In the melted region, the microstructure was observed to be of more uniform composition and contain fewer impurities. To improve absorption level, samples were etched and roughened. These samples exhibited lower roughness levels compared to the un-treated samples. For a constant fluence level, samples with improved absorption displayed an increase in depth of melt pool at lower peak powers and higher residence time. As the laser beam interaction time increased, the surface roughness of the steel increased for the various pulse energy levels examined. While the structure of the surface was seen to retain a crystal arrangement, grain orientation changes were observed in the laser processed region.

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Section: Experimental and Model Set Upmentioning

confidence: 99%

Analysis of Microstructural Changes during Pulsed CO<sub>2</sub> Laser Surface Processing of AISI 316L Stainless Steel

Chikarakara

Naher

Brabazon

2011

AMR

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“…Five levels of each of these factors were used between 7.86 to 23.58 MW/cm 2 and 50 to 167 μs respectively. The parameters corresponded to an energy fluence of 393 to 3930 J/cm 2 and surface temperature of 1003.8 to 5577 K according to the surface temperature prediction equation, Equation (1) [5,17]: where A is the absorption coefficient, P the laser power (W), k the thermal conductivity (W/m-K), V b the scan speed (m/s), t the time, t 1 the heating time, t 0 the time necessary for heat to diffuse over a distance equal to the laser beam radius on the workpiece surface, t 0 = R b 2 /4α, z the coordinate perpendicular to the treated surface and z 0 is the distance over which heat can diffuse during the laser beam interaction time.…”

Section: Methodsmentioning

confidence: 99%

Process mapping of laser surface modification of AISI 316L stainless steel for biomedical applications

2010

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A 1.5-kW CO 2 laser in pulsed mode at 3 kHz was used to investigate the effects of varied laser process parameters and resulting morphology of AISI 316L stainless steel. Irradiance and residence time were varied between 7.9 to 23.6 MW/cm 2 and 50 to 167 µs respectively. A strong correlation between irradiance, residence time, depth of processing and roughness of processed steel was established. The high depth of altered microstructure and increased roughness were linked to higher levels of both irradiance and residence times. Energy fluence and surface temperature models were used to predict levels of melting occurring on the surface through the analysis of roughness and depth of the region processed. Microstructural images captured by the SEM revealed significant grain structure changes at higher irradiances, but due to increased residence times, limited to the laser in use, the hardness values were not improved.

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“…Different manufacturing routes have also been tested such as conventional melt alloying, mechanical alloying, arc gas spraying, electrodeposition, electroless coating, laser alloying of aluminum with electrodeposited nickel [43], interdiffusion of more than one electrodeposited layer, etc.…”

Section: Final Remarksmentioning

confidence: 99%

Alkaline Electrolysis with Skeletal Ni Catalysts

Fernández¹,

Cano²

2012

Electrolysis

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Laser alloying of aluminium with electrodeposited nickel: optimisation of plating thickness and processing parameters

Cited by 32 publications

References 17 publications

Analysis of Microstructural Changes during Pulsed CO<sub>2</sub> Laser Surface Processing of AISI 316L Stainless Steel

Analysis of Microstructural Changes during Pulsed CO<sub>2</sub> Laser Surface Processing of AISI 316L Stainless Steel

Process mapping of laser surface modification of AISI 316L stainless steel for biomedical applications

Alkaline Electrolysis with Skeletal Ni Catalysts

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