Abstract No.:
7335

 Scheduled at:
Thursday, May 05, 2022, Hall D 2:40 PM
Cold Gas Spraying I


 Title:
Evaluating deposition efficiency in composite cold spray coatings

 Authors:
Sara Bagherifard* / Politecnico di Milano, Italy
Luca Vitali / Politecnico di Milano, Italy
Amir Ardeshiri Lordejani/ Politecnico di Milano, Italy
Mario Guagliano/ Politecnico di Milano, Italy

 Abstract:
The low working temperature of cold spray deposition technology offers the unique possibility to create innovative composite materials by mixing two or more different powders. While it is possible to precisely control the chemical composition of the mixture before spraying, the composition of the deposit remains uncertain. This is mainly due the different deposition efficiencies of constituent materials leading to compositional yield mismatch.
The currently available models are lacking features to account for the deformation behavior of dissimilar particles upon impact and to estimate the coating composition along its entire thickness. Herein, a coating composition and deposition efficiency predictive model is developed employing an iterative probabilistic approach paired with finite element simulations to consider the substrate effect and the deformation of different particles during deposition. This model is evaluated with experimental data in the case of zinc-aluminum mixture that is known as a promising coating for corrosion resistance of steel substrates thanks to its excellent cathodic protection and long-lasting properties. The proposed model offers the possibility of estimating the coating characteristics in the case of multi-material deposits regarding deposition efficiency as well as deposit composition variation along the thickness.


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