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@Article{SilvaMuraSousGarc:2019:MuMuOp,
               author = "Silva, Douglas Felipe da and Muraoka, Issamu and Sousa, Fabiano 
                         Lu{\'{\i}}s de and Garcia, Ezio Castejon",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Tecnol{\'o}gico de Aeron{\'a}utica (ITA)}",
                title = "Multiobjective and multicase optimization of a spacecraft 
                         radiator",
              journal = "Journal of Aerospace Technology and Management",
                 year = "2019",
               volume = "11",
                pages = "e0518",
             keywords = "Optimization, Thermal design, Satellite thermal control.",
             abstract = "Optimization is now an established tool for obtaining better 
                         solutions in engineering design. Nevertheless, the multiplicity of 
                         possible applications and the continuing search for better 
                         computational performance has motivated researchers in continuing 
                         to propose new methods, as well as improvements on existing ones. 
                         Not only optimization has allowed a better exploration of the 
                         design space, it also can signifi cantly reduce the time of the 
                         design process. In this paper the advantages of using a fully 
                         multiobjective and multicase approach for the design of space 
                         radiators is presented. The optimization of Amazonia-1 satellite 
                         batteries panel thermal design is investigated. Instead of 
                         conventional space radiators, in this work an innovative solution 
                         considering the fi n as heat absorber is analyzed. The results 
                         have shown that there are several viable confi gurations regarding 
                         to fi n coating material, heater power consumption and additional 
                         mass, and the choice of the appropriate radiator confi guration 
                         shall be evaluated based on system impact. The possibility of 
                         testing automatically different coatings and sizes for the fi n, 
                         allowed by the optimization approach, increased signifi cantly the 
                         probability of fi nding viable solutions on the design space.",
                  doi = "10.5028/jatm.v11.1000",
                  url = "http://dx.doi.org/10.5028/jatm.v11.1000",
                 issn = "1984-9648",
             language = "en",
           targetfile = "silva_multiobjective.pdf",
        urlaccessdate = "01 dez. 2020"
}


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