scholarly journals Neural Modelling of APS Thermal Spray Process Parameters for Optimizing the Hardness, Porosity and Cavitation Erosion Resistance of Al2O3-13 wt% TiO2 Coatings

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.

Author(s):  
Mirosław Szala ◽  
Leszek Łatka ◽  
Michał Awtoniuk ◽  
Marcin Winnicki ◽  
Monika Michalak

The study aims to elaborate a neural model and algorithm for optimising hardness and porosity of coatings and thus ensure that they have superior cavitation erosion resistance. Al2O3-13wt.%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 optimise both properties and cavitation erosion resistance of the coatings. Results were analysed 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 – maximising the hardness and cavitation erosion resistance of Al2O3-13%TiO2 coatings and, at the same time, minimizing their porosity.


Author(s):  
Kui Yao ◽  
Shuting Chen ◽  
Kun Guo ◽  
Chee Kiang Ivan Tan ◽  
Meysam Sharifzadeh Mirshekarloo ◽  
...  

2011 ◽  
Vol 291-294 ◽  
pp. 80-83
Author(s):  
Chun Ming Deng ◽  
Min Liu ◽  
Chang Guang Deng ◽  
Hong Liang Dai ◽  
Ke Song Zhou

Much attention has been paid to NiTi intermetallic coating for enhancing cavitation erosion resistance property due to its shape memory effect. In this paper two processes were used to deposit NiTi intermetallic coatings. Process 1 was the deposition of NiTi intermetallic coating using warm spray process with NiTi intermetallic powder as feedstock, and solution treatment was subsequently performed. Process 2 was a mixture process of warm spray and laser treatment. Ni-Ti coating was first deposited via warm spray process with Ni-cladding Ti as feedstock, and laser-treatment was performed to realize the alloying of Ni-Ti. The microstructure and phase compositions for NiTi intermetallic coatings were characterized by means of SEM and XRD. The fundamental properties for NiTi intermetallic coatings were also analyzed.


Coatings ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 521 ◽  
Author(s):  
Hongyan Jiang ◽  
Feng Cheng ◽  
Dianjun Fang

Four ceramic coatings are fabricated on 6061 aluminum alloy substrates with a micro-arc oxidation technique in silicate electrolytes with different TiO2 nano-additive concentrations. To explore the cavitation erosion resistance of the micro-arc oxidation (MAO) coating, cavitation tests are performed using a vibratory test rig. After cavitation tests lasting 10 min, the mass losses, surface morphologies, and chemical compositions of the samples after cavitation tests are examined using a digital balance, scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDS), respectively. The results indicate that, in contrast to the aluminum alloy, the MAO coatings, by adjusting TiO2 nano-additive concentration, can decrease the mean depth of erosion rate (MDER) due to the cavitation damage, and lead to an excellent cavitation erosion resistance. The results also show that: In contrast to aluminum alloy, MAO coatings can decrease the MDER due to the cavitation damage in a short period of time by adjusting TiO2 nano-additive concentration. With the increase of TiO2 nano-additive concentration, the compactness and the surface hardness of MAO coatings decrease, which can easily lead to larger erosion pits.


2017 ◽  
Vol 4 (2) ◽  
pp. 465-470 ◽  
Author(s):  
H.J. Amarendra ◽  
M.S. Prathap ◽  
S. Karthik ◽  
B.M. Darshan ◽  
Devaraj ◽  
...  

2013 ◽  
Vol 1 (1) ◽  
pp. 15-22
Author(s):  
S Tailor ◽  
◽  
RM Mohanty ◽  
PR Soni ◽  
◽  
...  

This review is done essentially to study results in the field of synthesis and characterization of SiC reinforced Al-SiC composite coatings using thermal spray process. SiC reinforced composite coatings produced by thermal spray process are being developed for a wide variety of applications, e.g. aerospace, automotive, structural and industrial. It is anticipated that, if properly deposited, Al-ceramic coatings could also provide improved properties like wear resistance and thermal barrier coatings. These results clearly demonstrate that the significant improvement in coating performance can be achieved by utilizing proper thermal spray conditions and SiC % in composite coatings. This paper presents a critical review on SiC reinforced Al-SiC composite coatings using thermal spray by various researchers in past years. The researcher’s findings with necessary parameters for achieve good Al-SiC composite coatings are given.


Wear ◽  
2009 ◽  
Vol 267 (1-4) ◽  
pp. 160-167 ◽  
Author(s):  
J.F. Santa ◽  
L.A. Espitia ◽  
J.A. Blanco ◽  
S.A. Romo ◽  
A. Toro

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