Analysis of Scattering Light from In-flight Particles in Suspension Plasma Spray for Size Measurement

Akbarnozari, Ali; Amiri, Shahin Nayyeri; Dolatabadi, Ali; Moreau, Christian

doi:10.1007/s11666-019-00852-6

Cited by 5 publications

(2 citation statements)

References 37 publications

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“…Numerical modeling has significantly aided the understanding of the phenomena involved in SPS [14,17,23]. The size of the particles and the influence of the plasma radiation make the measurement of in-flight particles velocity, temperature and diameter more difficult than Atmospheric Plasma Spray (APS) and are still under development [24,25]. Modeling results validated by the experimental ones have given a better understanding of what is happening.…”

Section: Introductionmentioning

confidence: 99%

Influence of Substrate Shape and Roughness on Coating Microstructure in Suspension Plasma Spray

Caio

Moreau

2019

Coatings

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This study investigated the influence of the substrate shape and roughness on the microstructure of suspension plasma spray (SPS) coatings. For this purpose, an yttria-stabilized zirconia (YSZ) suspension was sprayed on flat and curved stainless-steel substrates by SPS. The suspension was composed of 20 wt.% YSZ particles in ethanol. After spraying, the morphology of the coatings was characterized by scanning electron microscopy (SEM). The results showed that the substrate shape influences the amount of coating material deposited and microstructural features of the coating. The amount of coating material deposited was seen to decrease as the radius of curvature decreased. Finally, the roughness was found to influence the formation of columnar structure.

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Section: Introductionmentioning

confidence: 99%

Influence of Substrate Shape and Roughness on Coating Microstructure in Suspension Plasma Spray

Caio

Moreau

2019

Coatings

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“…Moreover, due to the low momentum and temperature inertia of fine particles and very large property gradients in the plasma (in the plume or close to the substrate), the diagnostic methodology and volume sensed must be adapted accordingly (Ref 40). At last, active diagnostic methods should be developed to particularly probe the fine particles ( 1µm) by means of laser diffraction or PIV(Ref 34,89). The influence of plasma radiation and nonthermal radiation from the particle evaporation can be discarded by the use of appropriate laser wavelength, power and time-resolved measurement.…”

mentioning

confidence: 99%

In-Flight Mechanisms in Suspension Plasma Spraying: Issues and Perspectives

et al. 2022

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Suspension Plasma Spraying (SPS) has aroused much research efforts over the two last decades to describe and understand the in-flight mechanisms of suspension plasma processing by developing advanced diagnostics and models. This research field has highlighted the intricate and prevailing dependence of the coating properties, and especially the rich variety of attainable microstructures, on the thermal and dynamic histories of the submicron particles in the plasma jet. This paper gives an overview of the major key points to control from the plasma torch operation up to the coating build-up. The main diagnostics methods are examined and the most advanced models as well. The perspectives focus on the key issues to improve the basic understanding of the in-flight phenomena. They also insist on a necessary multiscale approach to combine the diagnostics and the models in order to form relevant data flows for machine learning algorithms and better process prediction and reliability.

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Process Diagnostics and Control in Thermal Spray

Mauer

Moreau

2022

J Therm Spray Tech

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This perspective paper summarizes the authors’ view on how process diagnostics and control can help to gain a deeper insight into thermal spray processes and to better understand the underlying mechanisms. The current situation in terms of available process control strategies and suitable sensors is described. In perspective, it is assumed that with suitable models, sensors and machine learning tools, it will be possible to perform a smaller number of experiments to develop coatings with specific target characteristics. In addition, trained machine learning tools can be used to implement an efficient control strategy to produce coatings with high reproducibility and reliability. The corresponding existing knowledge gaps are analyzed to identify needs for future research.

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Analysis of Scattering Light from In-flight Particles in Suspension Plasma Spray for Size Measurement

Cited by 5 publications

References 37 publications

Influence of Substrate Shape and Roughness on Coating Microstructure in Suspension Plasma Spray

Influence of Substrate Shape and Roughness on Coating Microstructure in Suspension Plasma Spray

In-Flight Mechanisms in Suspension Plasma Spraying: Issues and Perspectives

Process Diagnostics and Control in Thermal Spray

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