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Developing Superhydrophobic Copper-Graphene Nanoplatelet Coatings to Promote Dropwise Condensation Using Thermal Spray Processes


Developing Superhydrophobic Copper-Graphene Nanoplatelet Coatings to Promote Dropwise Condensation Using Thermal Spray Processes

Forati, Tahmineh (2019) Developing Superhydrophobic Copper-Graphene Nanoplatelet Coatings to Promote Dropwise Condensation Using Thermal Spray Processes. Masters thesis, Concordia University.

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Water vapour condensation is frequently used as an effective means of transferring heat using dropwise condensation on non-wetting surfaces. The rate of heat transfer can be enhanced with dropwise condensation on non-wetting or hydrophobic surfaces when compared to filmwise condensation on a wetting surface. A potential method to improve dropwise condensation is the use of superhydrophobic coatings that are exceptionally water repelling. The superhydrophobicity of a surface is a result of the combination of its surface microstructure and surface chemistry. Materials with low surface energy are mostly polymeric and organic with low durability and poor thermal and chemical stability. Furthermore, these materials add thermal resistance to the coating, limiting the potential heat transfer capacity. As an alternative, developing a coating containing graphene nanoplatelets (GNP) with their hydrophobicity, high thermal conductivity and excellent mechanical properties is a promising approach to provide a hydrophobic coating for promoting dropwise condensation.
In order to develop micro-textured coatings with high water repellency and mobility, in this work, atmospheric plasma spray (APS) and high-velocity oxy-fuel (HVOF) techniques were used as scalable and efficient coating techniques to develop thin Cu-GNP coatings on a copper substrate. The main reason for combining copper with GNP is to protect the GNP against the elevated temperatures of the plasma and HVOF plumes. Additionally, copper can act as a carrier which transfers the GNP towards the substrate hence the adhesion and mechanical properties of this coating improve as the substrate of interest is also copper. A parametric study approach was used to optimize the APS and HVOF process parameters in order to achieve the best wettability in the copper/graphene nanoplatelets micro-textured coatings. Subsequently, to lower their surface energy, post-treatment by a stearic acid solution was performed.
The APS Cu-GNP coatings exhibit water contact angles as high as 152° and sliding angle less than10° while HVOF Cu-GNP coatings showed great water mobility (with a sliding angle less than 1°) as well as high water contact angle value of 164°. The image analyses of the APS coatings showed a lamellar structure. Additionally, with optimizing the plasma power, the desired microstructure that encourages the non-wetting surface was achieved. The HVOF coating showed more homogenous as well as denser morphology, and a hierarchical microstructure was observed. With optimizing the parameters, GNP embedded in the Cu matrix was more evident in HVOF coatings which can be attributed to the lower temperature of this process. Raman analysis further dem¬onstrates the presence of GNP in the coating while the defects in its structure increased after the thermal spray processes. Moreover, the above influences are more significant in APS compared to the HVOF Process. The best of the APS and HVOF coatings are then tested to evaluate their corrosion stability. It is shown that the HVOF Cu-GNP coating developed in this work can improve the corrosion resistance up to 89% when compared to the uncoated Cu surface. This coating can potentially promote dropwise condensation while offering enhanced corrosion stability.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical, Industrial and Aerospace Engineering
Item Type:Thesis (Masters)
Authors:Forati, Tahmineh
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Mechanical Engineering
Date:26 March 2019
Thesis Supervisor(s):Dolatabadi, Ali and Moreau, Christian and Pugh, Martin
Keywords:Superhdrophobic, Coating, Graphene
ID Code:985268
Deposited By: tahmineh forati
Deposited On:08 Jul 2019 13:15
Last Modified:08 Jul 2019 13:15


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