Ultrasonic Characterization of Thermally Sprayed Coatings

Lemlikchi, Safia; Martinsson, Jesper; Hamrit, Ahmet; Djelouah, H.; Asmani, M.; Carlson, Johan E.

doi:10.1007/s11666-019-00832-w

Cited by 8 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Plasma spraying is one of the most promising coating methods because it is economical and can be easily applied on an industrial scale [17,18,19]. It is also a suitable technique for depositing carbides with high melting points such as ZrC, HfC, etc.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of ZrC Barrier Coating on SiC-Coated Carbon/Carbon Composite Developed by Thermal Spray Process

Kang

Kim

et al. 2019

Materials

View full text Add to dashboard Cite

A thick ZrC layer was successfully coated on top of a SiC buffer layer on carbon/carbon (C/C) composites by vacuum plasma spray (VPS) technology to improve the ablation resistance of the C/C composites. An optimal ZrC coating condition was determined by controlling the discharge current. The ZrC layers were more than 70 µm thick and were rapidly coated under all spraying conditions. The ablation resistance and the oxidation resistance of the coated layer were evaluated in supersonic flames at a temperature exceeding 2000 °C. The mass and linear ablation rate of the ZrC-coated C/C composites increased by 2.7% and 0.4%, respectively. During flame exposure, no recession was observed in the C/C composite. It was demonstrated that the ZrC coating layer can fully protect the C/C composites from oxidation and ablation.

show abstract

Section: Introductionmentioning

confidence: 99%

Characteristics of ZrC Barrier Coating on SiC-Coated Carbon/Carbon Composite Developed by Thermal Spray Process

Kang

Kim

et al. 2019

Materials

View full text Add to dashboard Cite

show abstract

“…Numerous nondestructive methods have been proposed for quantitative determination of porosity in TBCs, such as thermography method [6][7][8][9][10], terahertz technique [11], X-ray [12], and effective medium theory [13]. Among all existing methods, the ultrasonic technique is a relatively inexpensive, fast, and reliable nondestructive method, which has been widely used to detect porosity in thermally sprayed coatings [3,[14][15][16][17]. A representative method is to use ultrasonic parameters in thermally sprayed coatings, usually longitudinal wave velocity and ultrasonic attenuation, to evaluate its properties, including porosity [15,[17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…Among all existing methods, the ultrasonic technique is a relatively inexpensive, fast, and reliable nondestructive method, which has been widely used to detect porosity in thermally sprayed coatings [3,[14][15][16][17]. A representative method is to use ultrasonic parameters in thermally sprayed coatings, usually longitudinal wave velocity and ultrasonic attenuation, to evaluate its properties, including porosity [15,[17][18][19][20]. For example, a trend line or corresponding expression between the velocity/attenuation and porosity for the coatings investigated is used to estimate the porosity content of other parts with the same coatings by measuring their thickness and velocity [17,19].…”

Section: Introductionmentioning

confidence: 99%

Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network

Zhang

Guo

et al. 2021

Complexity

View full text Add to dashboard Cite

Porosity is considered as one of the most important indicators for the characterization of the comprehensive performance of thermal barrier coatings (TBCs). In this study, the ultrasonic technique and the artificial neural network optimized with the genetic algorithm (GA_BPNN) are combined to develop an intelligent method for automatic detection and accurate prediction of TBCs’s porosity. A series of physical models of plasma-sprayed ZrO2 coating are established with a thickness of 288 μm and porosity varying from 5.71% to 26.59%, and the ultrasonic reflection coefficient amplitude spectrum (URCAS) is constructed based on the time-domain numerical simulation signal. The characteristic features f 1 , f 2 , A max , Δ A of the URCAS, which are highly dependent on porosity, are extracted as input data to train the GA_BPNN model for predicting the unknown porosity. The average error of the prediction results is 1.45%, which suggests that the proposed method can achieve accurate detection and quantitative characterization of the porosity of TBCs with complex pore morphology.

show abstract

An Advanced Methodology for Nondestructive Measurement of Thermal Barrier Coating Thickness via Point Cloud Processing

Qu,

Cai,

Chen

et al. 2023

J Therm Spray Tech

View full text Add to dashboard Cite

Ultrasonic Characterization of Thermally Sprayed Coatings

Cited by 8 publications

References 24 publications

Characteristics of ZrC Barrier Coating on SiC-Coated Carbon/Carbon Composite Developed by Thermal Spray Process

Characteristics of ZrC Barrier Coating on SiC-Coated Carbon/Carbon Composite Developed by Thermal Spray Process

Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network

An Advanced Methodology for Nondestructive Measurement of Thermal Barrier Coating Thickness via Point Cloud Processing

Contact Info

Product

Resources

About