scholarly journals Impact of Atmospheric Plasma Spray Parameters on Cavitation Erosion Resistance of Al2O3-13% TiO2 Coatings

2019 ◽  
Vol 136 (2) ◽  
pp. 342-347 ◽  
Author(s):  
L. Łatka ◽  
M. Szala ◽  
M. Michalak ◽  
T. Pałka
Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1544
Author(s):  
Mirosław Szala ◽  
Leszek Łatka ◽  
Michał Awtoniuk ◽  
Marcin Winnicki ◽  
Monika Michalak

The study aims to elaborate a neural model and algorithm for optimizing hardness and porosity of coatings and thus ensure that they have superior cavitation erosion resistance. Al2O3-13 wt% TiO2 ceramic coatings were deposited onto 316L stainless steel by atmospheric plasma spray (ASP). The coatings were prepared with different values of two spray process parameters: the stand-off distance and torch velocity. Microstructure, porosity and microhardness of the coatings were examined. Cavitation erosion tests were conducted in compliance with the ASTM G32 standard. Artificial neural networks (ANN) were employed to elaborate the model, and the multi-objectives genetic algorithm (MOGA) was used to optimize both properties and cavitation erosion resistance of the coatings. Results were analyzed with MATLAB software by Neural Network Toolbox and Global Optimization Toolbox. The fusion of artificial intelligence methods (ANN + MOGA) is essential for future selection of thermal spray process parameters, especially for the design of ceramic coatings with specified functional properties. Selection of these parameters is a multicriteria decision problem. The proposed method made it possible to find a Pareto front, i.e., trade-offs between several conflicting objectives—maximizing the hardness and cavitation erosion resistance of Al2O3-13 wt% TiO2 coatings and, at the same time, minimizing their porosity.


Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 612
Author(s):  
Miriam Lorenzo-Bañuelos ◽  
Andrés Díaz ◽  
David Rodríguez ◽  
Isidoro I. Cuesta ◽  
Adrian Fernández ◽  
...  

Thermal spray is one of the most widely used coating techniques to improve wear, surface fatigue or corrosion properties. In the atmospheric plasma spray (APS) process, a powdered material is melted by hydrogen and argon combustion and is propelled at high speed onto the target substrate. The high impact energy of the particles produces a dense and resistant coating layer. Mechanical and surface properties of the obtained coating depend on various spraying parameters, such as gas flow, traverse speed and spraying distance, among others. In this research, the influence of these manufacturing parameters on the thickness, hardness and resistance of the coating obtained from a Ni-Al alloy sprayed onto an aluminum alloy substrate was studied. In order to analyze the effect of these parameters on the coating properties, an extensive experimental program was carried out. A metallographic analysis, hardness and strength measurements were carried out using the small punch test to locally study the mechanical properties of the coating surface. The design of experiments and the response surface methodology facilitate the assessment of the optimal set of spraying parameters.


2016 ◽  
Vol 1812 ◽  
pp. 53-64
Author(s):  
E. Bautista Pérez ◽  
C.E. Cruz ◽  
Juan M. Salgado Lopez ◽  
J.A. Toscano

ABSTRACTIn this work, the effect of three principal and independent parameters of Atmospheric Plasma Spray on the properties of coatings deposited using mixtures of commercial powders of titanium dioxide (TiO2) and chromium oxide (Cr2O3) was studied. The results of this work are used for special applications on turbomachinery components such as wear protection in sliding seals and in steam valves for turbines, chemical protection for centrifugal compressor members, and special seal applications.The design of experiments (DoE) technique has proved to be very useful to study the influence factors and optimization. Pierlot et al. [1] demonstrated that the application of the Hadamard and two factorial design techniques are useful for the optimization of thermal spray processes. An example of the application of the DoE is the one mentioned by Murugan et al. [2]. In their work, a factorial design was used to study the interactions between gas flow, oxygen flow, powder rate and spray distance on the percentage of porosity and hardness of TiO2 - Cr2O3 composite coatings generated by High Velocity Oxy-Fuel.The ½ fractional two-level factorial DoE technique was used to analyze and optimize the Atmospheric Plasma Spray process parameters. In the current research, experiments were conducted varying the deposition velocity, gas flow and stand-off distance. The effect of these process variables were evaluated by thickness, hardness and microstructure analysis. In this study, an empirical relationship between process variables and response parameters was developed. The entire relationship was made using the results of the DoE.


2014 ◽  
Vol 1058 ◽  
pp. 265-269 ◽  
Author(s):  
Qiu Sheng Lin ◽  
Ke Song Zhou ◽  
Chun Ming Deng ◽  
Chang Guang Deng ◽  
Zi Qi Kuang ◽  
...  

In the current work, low pressure plasma spray process (LPPS) was applied to deposit Ti-Ni intermetallic coatings with Ni-clad Ti powder as feedstock. The microstructure and phase transition of LPPS sprayed Ti-Ni coating were investigated. Cavitation erosion resistance was examined using a standard ultrasonic cavitation test. The coating mainly consisted of TiNi phase with a certain amount of Ti2Ni, Ni3Ti phase and a few Ti phase. A few pores concentrated on the boundaries of the sprayed splats. The TiNi coating exhibited excellent cavitation erosion resistance.


Author(s):  
Juliana Barbarioli ◽  
André Tschiptschin ◽  
Cherlio Scandian ◽  
Manuelle Curbani Romero

2021 ◽  
Vol 409 ◽  
pp. 126838
Author(s):  
Xinlong Wei ◽  
Wuyan Zhu ◽  
Aolin Ban ◽  
Dejia Zhu ◽  
Chao Zhang ◽  
...  

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