Experimental verification of statistically optimized parameters for low-pressure cold spray coating of Titanium.

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Department of Chemical and Metallurgical and Materials Engineering - Research Articles

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Adebiyi, D. I., Popoola, A. P. I., Botef, Ionel.. Metals; 2 June 2016. Experimental verification of statistically optimized parameters for low-pressure cold spray coating of Titanium..

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Title: Experimental verification of statistically optimized parameters for low-pressure cold spray coating of Titanium.
Creator: Adebiyi, D. I.
Creator: Popoola, A. P. I.
Creator: Botef, Ionel.
Subject: Process parameters.
Subject: Cold spray.
Subject: Optimization.
Subject: Critical velocity.
Subject: SiC.
Subject: Microstructure.
Subject: Properties.
Date: 2 June 2016
Publisher: Metals
Description: The cold spray coating process involves many process parameters which make the process very complex, and highly dependent and sensitive to small changes in these parameters. This results in a small operational window of the parameters. Consequently, mathematical optimization of the process parameters is key, not only to achieving deposition but also improving the coating quality. This study focuses on the mathematical identification and experimental justification of the optimum process parameters for cold spray coating of titanium alloy with silicon carbide (SiC). The continuity, momentum and the energy equations governing the flow through the low-pressure cold spray nozzle were solved by introducing a constitutive equation to close the system. This was used to calculate the critical velocity for the deposition of SiC. In order to determine the input temperature that yields the calculated velocity, the distribution of velocity, temperature, and pressure in the cold spray nozzle were analyzed, and the exit values were predicted using the meshing tool of Solidworks. Coatings fabricated using the optimized parameters and some non-optimized parameters are compared. The coating of the CFD-optimized parameters yielded lower porosity and higher hardness.

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collection(s): Department of Chemical and Metallurgical and Materials Engineering - Research Articles
Identifier: tut:5143
Format: PDF
Language: en
RightsHolder: MDPI
Type: Text
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Department of Chemical and Metallurgical and Materials Engineering - Research Articles Experimental verification of statistically optimized parameters for low-pressure cold spray coating of Titanium.

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