Performance of HVOF-Sprayed Carbide Coatings in Aqueous Corrosive Environments

Author(s):  
S. Simard ◽  
B. Arsenault ◽  
K. Laul ◽  
M.R. Dorfman

Abstract The HVOF technology is well known to provide a wide variety of coating materials having excellent performance characteristics under different aggressive conditions such as wear, erosion by impact of particle and corrosion. Carbides, as a family, constitute a big segment of materials used by the thermal spray industry. Although their material properties may be well known since they are often used in wear or corrosive-wear industrial applications, aqueous corrosion of such coatings are not well characterized. Moreover, thermal spray process technology being in constant evolution, past literature on these coatings may not be directly applicable as newer produced coatings have higher adhesive and cohesive strength. Recent technology allows a better control on density and oxides content that are important parameters to consider for corrosion applications. The success of a coating is related to judicious material selection for various applications. However, the choice of the starting materials for producing a coating is often difficult since there is a lack of data on the corrosion performance of thermal spray coatings. The present paper addresses the performance of various carbide HVOF coatings in terms of corrosion rate and degradation mode in two corrosive environments — HCl and HNO3. Behavior of the coatings is compared using bulk SS316 and SS316 HVOF coating as a benchmark.

2020 ◽  
Vol 10 (3) ◽  
pp. 265-279 ◽  
Author(s):  
Meimei Liu ◽  
Yicha Zhang ◽  
Wenjie Dong ◽  
Zexin Yu ◽  
Sifeng Liu ◽  
...  

PurposeThis paper presents the application of grey modeling for thermal spray processing parameter analysis in less data environment.Design/methodology/approachBased on processing knowledge, key processing parameters of thermal spray process are analyzed and preselected. Then, linear and non-linear grey modeling models are integrated to mine the relationships between different processing parameters.FindingsModel A reveals the linear correlation between the HVOF process parameters and the characterization of particle in-flight with average relative errors of 9.230 percent and 5.483 percent for velocity and temperature.Research limitations/implicationsThe prediction accuracies of coatings properties vary, which means that there exists more complex non-linear relationship between the identified input parameters and coating results, or more unexpected factors (e.g. factors from material side) should be further investigated.Practical implicationsAccording to the modeling case in this paper, method has potential to deal with other diverse modeling problems in different industrial applications where challenge to collecting large quantity of data sets exists.Originality/valueIt is the first time to apply grey modeling for thermal spray processing where complicated relationships among processing parameters exist. The modeling results show reasonable results to experiment and existing processing knowledge.


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

2007 ◽  
Vol 561-565 ◽  
pp. 1169-1172 ◽  
Author(s):  
W.T. Hsiao ◽  
W.H. Liao ◽  
M.S. Leu ◽  
Cherng Yuh Su

The image of thermal spray splats is difficult to collect due to its high velocity of droplets. Especial in High Velocity Oxy-Fuel (HVOF) process, the process present higher velocity of flame jet correlated to other thermal spray process. The system presents at this article describes a useful splats catching method to obtaining splats during thermal spray deposited. Capabilities and advantages of using this instrument are declared at this theme. The final result presented the instrument caught the single spot of HVOF sprayed splats at sub-micro second. Splats of spot were dispersed well on the glass substrate at the obtaining system, and presented various information of droplets impact at different location on the substrate.


2001 ◽  
Vol 19 (3) ◽  
pp. 570-576
Author(s):  
Masahiro FUKUMOTO ◽  
Hiroyuki MURAYAMA ◽  
Young-gyo Jung

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