An investigation on the parameter optimization and abrasive wear behaviour of nanostructured WC-10Co-4Cr TIG weld cladding

Singh, Jasbir; Thakur, Lalit; Angra, Surjit

doi:10.1016/j.surfcoat.2020.125474

Cited by 38 publications

(19 citation statements)

References 33 publications

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“…For instance, a high-manganese steel surfacing electrode was used to obtain a fully austenitic layer with high work-hardening rate, high toughness, and good wear resistance [6]. Furthermore, ceramic particles, such as WC, TiC, and SiC, were introduced to the surfacing electrodes [2,4,[7][8][9]. The ceramic reinforced welded layer can be applied to the strongly worn parts, such as concrete mixer blades, high-speed sand mixing boxes, and bulldozers.…”

Section: Introductionmentioning

confidence: 99%

Microstructure and Wear Resistance of WC and High Chromium Cast Iron Hardfacing Layers

et al. 2020

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The WC and high chromium cast iron (HCCI) welded layers were prepared on Q235 low carbon steel by hardfacing technique in order to improve high-temperature performance. The microstructure and mechanical properties of the welded layer were investigated. It was found that Fe3W3C is the major strengthening phase of the WC welded layer. Furthermore, a high-temperature three-body abrasive wear experiment was designed and conducted on the welded layers. The results show that the wear resistance of the WC welded layer was much better than that of the HCCI welded layer at both room and high temperatures. During the high-temperature abrasive wear process, the Fe3W3C phase can effectively strengthen the matrix and hence, contribute to improved wear resistance.

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Section: Introductionmentioning

confidence: 99%

Microstructure and Wear Resistance of WC and High Chromium Cast Iron Hardfacing Layers

et al. 2020

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“…To demonstrate and validate the effectiveness of MOORA and TOPSIS method, author's has considered the practical example of cladding process from the literature [4].…”

Section: Resultsmentioning

confidence: 99%

“…They found decrease in hardness by increasing welding current. Singh et al [4] studied the effect of the input variables, like welding current and speed over the microstructural changes. Solidification time varies due to variations in the welding current and speed, which results in a different kind of microstructure.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Multi-Criteria Decision Making Methods for Multi Optimization of GTAC Process Parameters

Ranjan¹,

Saha

Das

2022

Period. Polytech. Mech. Eng.

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A great deal of investigation on gas tungsten arc cladding (GTAC) is focused on the study of enhancements in the microstructure, mechanical and tribological features of the cladding. The selection of right process parameters is a critical issue for the researchers. Decision makers in the industries must analyze a wide variety of parameters based on a set of contradictory criteria. Several multi-criteria decision-making (MCDM) techniques are now available to add values in selection of these parameters. The application of the TOPSIS and MOORA techniques to identify the best configuration of processing parameters in the gas tungsten arc cladding (GTAC) process is investigated in this work. The best processing parameters set for the multiple performance attributes should be welding current: 70 amp, speed: 240, argon flow: 13 and standoff distance 3.5 (TOPSIS-PCA) and welding current: 50, speed: 300, argon flow: 13 and standoff distance 3.5 (MOORA-PCA).A comparison of MOORA-PCA and TOPSIS-PCA demonstrates the superiority of TOPSIS over MOORA technique. The prediction accuracy of the TOPSIS-PCA hybrid approach model is found better than MOORA-PCA technique.

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“…[23][24][25] At present, there are many methods for optimizing process parameters, such as mathematical statistics, the Taguchi method, response surface method (RSM) and artificial neural network. [26][27][28][29] Yu et al 30 and others used Taguchi experimental design experiments to convert the response indexes such as coating width, coating height and dilution rate into a single grey relational grade (GRG) for comprehensive evaluation combined with gray correlation theory and obtained the best combination of process parameters. The optimized parameter combination ensures the robustness of the optimization results.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective numerical simulation of geometrical characteristics of laser cladding of cobalt-based alloy based on response surface methodology

Cui

Zhang

Guo

et al. 2020

Measurement and Control

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The objectives of this study are to optimize the key process parameters of laser cladding remanufacturing parts, improve the sealing quality of the hemispherical valve and prolong and improve its service life and reliability. A high-power fiber-coupled semiconductor laser was used to fabricate a single Co-based alloy cladding layer on the pump valve material ZG45 plate. The key process parameters of laser power, scanning speed and powder feeding rate in the process of laser remanufacturing are taken as optimization variables, and the coating width, coating height, coating depth, aspect ratio and dilution rate are taken as response indexes. Based on the response surface analysis method, the central compound experiment is designed using Design-Expert software. The variance analysis of the experimental results is performed, and the regression prediction model of the process parameters relative to the corresponding index is established. Through analysis of the established perturbation diagram and three-dimensional response surface, it is concluded that the main influence factors of melting width and penetration depth are laser power and positive effect, and the main influence factors of melting height are scanning speed and negative effect. The average error of each regression prediction model is lower than 10%. The above research work has important guiding significance for optimizing the process parameters and improving the cladding quality of cobalt-based alloy on ZG45.

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An investigation on the parameter optimization and abrasive wear behaviour of nanostructured WC-10Co-4Cr TIG weld cladding

Cited by 38 publications

References 33 publications

Microstructure and Wear Resistance of WC and High Chromium Cast Iron Hardfacing Layers

Microstructure and Wear Resistance of WC and High Chromium Cast Iron Hardfacing Layers

Comparison of Multi-Criteria Decision Making Methods for Multi Optimization of GTAC Process Parameters

Multi-objective numerical simulation of geometrical characteristics of laser cladding of cobalt-based alloy based on response surface methodology

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