Online assessment of TiC decomposition in laser cladding of metal matrix composite coating

Muvvala, Gopinath; Karmakar, Debapriya Patra; Nath, Ashish Kumar

doi:10.1016/j.matdes.2017.02.061

Cited by 101 publications

(20 citation statements)

References 44 publications

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“…The coatings were prepared by mixing the coating materials (fly-ash and Al-Si) individually with polyvinyl alcohol at a ratio of 3:1 to form a paste and then applied with a curing time of 25 min and furnace temperature of 100°C. 27 The particle sizes of coating substances were measured by capturing the powder images in a scanning electron microscope (SEM) at 2000 3 magnification. The average particle size of Al-Si is 9.75 mm, whereas fly-ash has 11.65 mm, and have been shown in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Enhancement of joint strength in friction stir lap welding between AA6061 and AISI 304 by adding diffusive coating agents

Mypati

Sadhu

Sahu

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

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This study focuses on the usage of fly-ash and Al-12%Si as diffusive coating materials over AISI 304 steel welded with AA 6061 in friction stir welding process to improve the joint quality. Various mechanical and metallurgical studies have been carried out to evaluate the characteristics of the weld, and investigate and compare the effect of the two coating materials. Formation of intermetallic reaction layer has been found to be an influential parameter affecting the joint quality. Aluminium-rich intermetallic reaction layer has been observed in the bare welds, whereas the coated samples have been found to have ferrous-rich intermetallic reaction layer.

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Section: Methodsmentioning

confidence: 99%

Enhancement of joint strength in friction stir lap welding between AA6061 and AISI 304 by adding diffusive coating agents

Mypati

Sadhu

Sahu

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Boundary decomposition and more condensed sintering were created around the TiC particles, shown in Figure 8f. These enhancements prevented the particles from peeling off during scratch testing and reforming abrasive wear to adhesive wear (Figure 8e), which reduced the wear volume [24]. It is evident that the TiC powder ratio is a significant factor that has an impact on the wear volume, while the powder feed rate has a non-significant impact (Figure 9).…”

Section: Analysis Of Wear Volumementioning

confidence: 99%

“…Meanwhile, the appearance of TiC particles also increased. The plasticity of the sample reduced with a larger TiC powder ratio due to the brittleness of the proeutectoid carbide formed by the TiC during the LENS process [24,26]. Therefore, due to the rapid solidification effect in the LENS process, defects such as pores were formed because the gas generated could not be emitted completely [27].…”

Section: Analysis Of the Defect Areamentioning

confidence: 99%

Investigation of Micro-Hardness, Wear Resistance, and Defects of 316L Stainless Steel and TiC Composite Coating Fabricated by Laser Engineered Net Shaping

et al. 2019

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The influence of processing parameters in laser engineered net shaping (LENS) on the properties of 316L stainless steel and titanium carbide (TiC) composite coating was studied. The key processing parameters were laser power, scanning speed, TiC powder ratio, and powder feed rate. Mathematical models were developed to investigate the micro-hardness, wear volume, and defect area of the coating. The accuracy of the models was examined by analysis of variance and experimental validation. Results showed that micro-hardness was positively correlated with TiC powder ratio. Increasing TiC powder ratio could reduce the wear volume. In addition, the wear volume displayed an increase then decrease with increasing laser power and decreasing scanning speed. Both scanning speed and TiC powder ratio showed a recognizable impact on the defect area. Reducing the scanning speed and TiC powder ratio can effectively reduce the defect area. The targets for the processing parameters optimization were set to maximize micro-hardness, minimize wear volume, and defect area. The difference between the model prediction value and experimental validation result for micro-hardness, wear volume, and defect area were 0.46%, 4.54%, and 8.82%, respectively. These results provide guidance for the LENS processing parameters optimization in controlling and predicting of 316L/TiC composite coating properties.

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“…These are related to laser source, motion of workpiece, powder-substrate material combinations, clad geometry, powder flow dynamics, shrouding gas flow and so on. Significant research efforts are being invested for analytical [4][5][6][7], numerical [2, 9-11] and empirical modelling [12], and in-process monitoring and control [13][14][15][16][17][18][19][20] of laser cladding process. The numerical models are both two dimensional (2D) [2, 11] and three dimensional (3D) [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Multiple responses such as clad track width, clad height, cladding zone temperature, cooling rate, etc. have been successfully monitored in real time [9,[13][14][15][16][17][18][19][20]. However, practical implementation of real time control have been so far reported for either laser power or scan speed or powder flow rate.…”

Section: Introductionmentioning

confidence: 99%

Estimation of dilution in laser cladding based on energy balance approach using regression analysis

Chakraborty

Dutta

2019

Sādhanā

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Laser cladding is a complex manufacturing process involving more than 19 variables related to laser source, workpiece movement, powder-substrate material combinations, clad geometry, powder flow dynamics, shrouding gas flow and so on. Significant research efforts have been directed to analytical-numericalempirical modelling of laser cladding and also in-process monitoring and control of the process. Still, due to complicated physics there is a dearth of simple analytical model for estimation of dilution in laser cladding. Its experimental measurement requires suitable micrographs of the clad cross section perpendicular to the clad path. This is a time-consuming and destructive way of measurement. Numerical models are time consuming to evaluate and hence not suitable for fast decision making or real-time control implementation. The analytical models available, despite having many approximations, are a little complicated, require fair amount computer programming and often need suitable prior guessing of range of output parameters for adjustment of constant values in the models. This poses some challenges for use and having an intuitive guidance, for a beginner/ unskilled operator. Besides, their complexity may erect barrier in the way of their implementation for real time monitoring and control. This work proposes a simple linear regression model, formed based on energy balance approach, to estimate dilution in laser cladding. After fitting to a set of data, within a suitable process parameterwindow, for a particular clad-substrate material combination, this model can estimate dilution as a function of input/easily measureable parameters, viz. laser power, scan speed, clad width and clad height. The model fitted well to the experimental data taken from literature.

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Online assessment of TiC decomposition in laser cladding of metal matrix composite coating

Cited by 101 publications

References 44 publications

Enhancement of joint strength in friction stir lap welding between AA6061 and AISI 304 by adding diffusive coating agents

Enhancement of joint strength in friction stir lap welding between AA6061 and AISI 304 by adding diffusive coating agents

Investigation of Micro-Hardness, Wear Resistance, and Defects of 316L Stainless Steel and TiC Composite Coating Fabricated by Laser Engineered Net Shaping

Estimation of dilution in laser cladding based on energy balance approach using regression analysis

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