Effects of plasma spray parameters on TiO2-coated mild steel using design of experiment (DoE) approach

Forghani, S. M.; Ghazali, Mariyam Jameelah; Muchtar, Andanastuti; Daud, Abdul Razak; Yusoff, Nazrul Hizam; Azhari, Che Husna

doi:10.1016/j.ceramint.2012.09.092

Cited by 34 publications

(15 citation statements)

References 8 publications

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“…Bertrand et al [2] described that the hardness values published for the rutile TiO 2 are between 580 and 700 HK and the values commonly measured for the anatase TiO 2 are between 550 and 580 HK. The results obtained for coating microhardness measurements 602±5 HK are on the similar level as presented in [2] , however the lower level than hardness depicted for TiO 2 [8,9] and Al 2 O 3 -TiO 2 [16,19] plasma sprayed coatings. It indicates the influence of plasma spraying process on hardness results.…”

Section: Resultssupporting

confidence: 67%

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Research into Morphology and Properties of TiO2 – NiAl Atmospheric Plasma Sprayed Coating

Maruszczyk¹,

Dudek²,

Szala³

2017

Adv. Sci. Technol. Res. J.

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Titania (TiO 2 ) based coatings are ceramic products with unique properties that make them widely applicable (e.g. in automotive industry, optoelectronics, chemical processing or medicine). Atmospheric plasma spray process enables to deposit TiO 2 with addition of NiAl feedstock material which has an influence on coating cohesion and adhesion to substrate. However, the literature and technical notes give little information about parameters of spraying of TiO 2 -10 wt.% NiAl feedstock powders enables producing coating without nonuniformities including cracks and delamination form substrate. The aim of the work was to verify the parameters of plasma spraying by evaluation of the morphology and properties of manufactured the TiO 2 -10 wt.% NiAl coatings. Titania based coatings were deposited by means of atmospheric plasma sprayed on steel substrate using TiO 2 -10 wt.% NiAl feedstock powders. Morphology and microstructure were examined using light optical microscope (LOM) and scanning electron microscope (SEM). Coating chemical composition were analysed by means of SEM-EDS method. Coating surface topography and Knoop microhardness were determined. Porosity and thickness were evaluated by using quantities image analysis programme. Plasma spraying parameters used in our research allow to obtain uniform coating without cracks and delamination at coating-substrate interface. It acknowledges that uniformity of coating technological properties as well manufactured coatings can be put to wear tests, such as high temperature oxidation, corrosion, erosion or cavitation erosion resistance evaluation.

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Section: Resultssupporting

confidence: 67%

“…The improvement of materials used in plasma sprayed coatings processes exact detailed study of the morphology of coating [2,7,14,20]. Moreover, the influence of plasma spraying process parameters on properties of coatings is systematically studied [4,8,15]. For industry applications coating adhesion to substrate is crucial.…”

Section: Introductionmentioning

confidence: 99%

Research into Morphology and Properties of TiO2 – NiAl Atmospheric Plasma Sprayed Coating

Maruszczyk¹,

Dudek²,

Szala³

2017

Adv. Sci. Technol. Res. J.

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“…The pores in the figures can be clearly seen as a dark area within the deposited coatings structure. The pores exist due to many factors such as air or working gas filled pores entrapped by arriving particles, porous powders from feed stock or poor contact of inter splat interfaces [8]. table 4 shows that porosity of deposited coatings is influenced by X A (primary gas pressure), X C (powder feed rate) and X AB (interaction primary gas pressure and carrier gas pressure).…”

Section: Porosity Evaluationmentioning

confidence: 99%

Effect of plasma spray parameters on porosity of fly ash deposited coatings

Muhammad¹,

Jalar²,

Shamsudin³

et al. 2014

AIP Conference Proceedings

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Electrical and electrochemical properties of fly ash and effect of pyrolysisAbstract. This paper presents on a study of atmospheric plasma spray parameters using fly ash as a feedstock material to spray onto the mild steel substrates. The experiments were carried out using two level fractional factorial design with four variables namely the primary and carrier gas pressures, powder feed rate and plasma power. The evaluation of response was performed on porosity by using image analysis. The results obtained show that primary gas pressure, powder feed rate and interaction primary gas pressure and carrier gas pressure are most significant factors in affecting the porosity of fly ash deposited coatings.

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“…Forghani et al [23] studied the coating of Al 2 O 3 -TiO 2 on mild steel as substrate and coating material. A design of experiment was used to conduct the experiment.…”

Section: Introductionmentioning

confidence: 99%

Parameter Optimization of Amalgamated Al2O3-40% TiO2 Atmospheric Plasma Spray Coating on SS304 Substrate Using TLBO Algorithm

Rajesh¹,

Rao²

2016

JSEMAT

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SS304 is a commercial grade stainless steel which is used for various engineering applications like shafts, guides, jigs, fixtures, etc. Ceramic coating of the wear areas of such parts is a regular practice which significantly enhances the Mean Time Between Failure (MTBF). The final coating quality depends mainly on the coating thickness, surface roughness and hardness which ultimately decides the life. This paper presents an experimental study to effectively optimize the Atmospheric Plasma Spray (APS) process input parameters of Al2O3-40% TiO2 ceramic coatings to get the best quality of coating on commercial SS304 substrate. The experiments are conducted with a threelevel L18 Orthogonal Array (OA) Design of Experiments (DoE). Critical input parameters considered are: spray nozzle distance, substrate rotating speed, current of the arc, carrier gas flow and coating powder flow rate. The surface roughness, coating thickness and hardness are considered as the output parameters. Mathematical models are generated using regression analysis for individual output parameters. The Analytic Hierarchy Process (AHP) method is applied to generate weights for the individual objective functions and a combined objective function is generated. An advanced optimization method, Teaching-Learning-Based Optimization algorithm (TLBO), is applied to the combined objective function to optimize the values of input parameters to get the best output parameters and confirmation tests are conducted based on that. The significant effects of spray parameters on surface roughness, coating thickness and coating hardness are studied in detail.

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Effects of plasma spray parameters on TiO2-coated mild steel using design of experiment (DoE) approach

Cited by 34 publications

References 8 publications

Research into Morphology and Properties of TiO2 – NiAl Atmospheric Plasma Sprayed Coating

Research into Morphology and Properties of TiO2 – NiAl Atmospheric Plasma Sprayed Coating

Effect of plasma spray parameters on porosity of fly ash deposited coatings

Parameter Optimization of Amalgamated Al<sub>2</sub>O<sub>3</sub>-40% TiO<sub>2</sub> Atmospheric Plasma Spray Coating on SS304 Substrate Using TLBO Algorithm

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Effects of plasma spray parameters on TiO2-coated mild steel using design of experiment (DoE) approach

Cited by 34 publications

References 8 publications

Research into Morphology and Properties of TiO2 – NiAl Atmospheric Plasma Sprayed Coating

Research into Morphology and Properties of TiO2 – NiAl Atmospheric Plasma Sprayed Coating

Effect of plasma spray parameters on porosity of fly ash deposited coatings

Parameter Optimization of Amalgamated Al&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;-40% TiO&lt;sub&gt;2&lt;/sub&gt; Atmospheric Plasma Spray Coating on SS304 Substrate Using TLBO Algorithm

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Parameter Optimization of Amalgamated Al<sub>2</sub>O<sub>3</sub>-40% TiO<sub>2</sub> Atmospheric Plasma Spray Coating on SS304 Substrate Using TLBO Algorithm