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Modeling of laser cladding with application to fuel cell manufacturing.

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English


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  • Abstract:
    Polymer electrolyte membrane (PEM) fuel cells have many advantages such as compactness, ; lightweight, high power density, low temperature operation and near zero emissions. Although ; many research organizations have intensified their efforts towards commercialization of fuel ; cells, several technical problems are yet to be overcome. One of the important issues is the ; availability of low cost bipolar plates. Thus far carbon-based bipolar plates have been the main ; focus of the development activities. These materials will fulfill all requirements in the near future. ; Nevertheless, further cost reduction and an increase of power density is beneficial for fuel cell ; technology 1. Bipolar plates based on coated metals offer a high potential to reduce costs and ; enhance power density. Aluminum, stainless steel, titanium, and nickel are considered possible ; alternative materials for the bipolar plate in PEM fuel cells. These metals need to be coated ; properly because bipolar plates are exposed to an operating environment with a pH of 2–3 at ; high temperatures. Borup and Vanderborgh 2 suggest that coatings for bipolar plates should ; be conductive and adhere to the base material properly to protect the substrate from the ; operating environment. Laser cladding is considered an alternative coating process for solid or ; modular metallic bipolar plates. In laser cladding, the coating material is metallurgically bonded ; with the substrate, which is very important for the functioning of bipolar plates. The advantages ; of laser cladding include chemical cleanliness, localized heating, low dilution of the cladding ; material by the substrate and rapid cooling rates. To understand the relationships between the ; fuel cell component performance and manufacturing process parameters and variability, a ; numerical model has been developed to simulate the physical phenomena associated with laser ; cladding of bipolar plates. This report summarizes the numerical model developed.
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    urn:sha256:2941facff15dd92a681a6a2f2bc6a9d9c7f7927909de56214f438b72a3bcb87e
File Language:
English
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