dc.contributor.author | Souto, Ricardo Manuel | |
dc.contributor.author | Santana, Juan José | |
dc.contributor.author | Ramos, Alejandro | |
dc.contributor.author | Rodríguez-González, Alejandro | |
dc.contributor.author | Vasconcelos, H. Cristina | |
dc.contributor.author | Mena, Vicente | |
dc.contributor.author | Fernández Pérez, Bibiana María | |
dc.date.accessioned | 2020-03-19T17:45:07Z | |
dc.date.available | 2020-03-19T17:45:07Z | |
dc.date.issued | 2019 | es_ES |
dc.identifier.uri | http://riull.ull.es/xmlui/handle/915/18953 | |
dc.description.abstract | The classification, assessment, and estimation of the atmospheric corrosivity are fixed
by the ISO 9223 standard. Its recent second edition introduced a new corrosivity category for
extreme environments CX, and defined mathematical models that contain dose–response functions
for normative corrosivity estimations. It is shown here that application of the ISO 9223 standard
to archipelagic subtropical areas exhibits major shortcomings. Firstly, the corrosion rates of zinc
and copper exceed the range employed to define the CX category. Secondly, normative corrosivity
estimation would require the mathematical models to be redefined introducing the time of wetness
and a new set of operation constants | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | es_ES |
dc.relation.ispartofseries | Metals, 9, 1105 (2019), 14 pp. | es_ES |
dc.rights | Licencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es_ES | |
dc.title | Shortcomings of international Standard ISO 9223 for the classification, determination and estimation of atmosphere corrosivities in subtropical archipelagic conditions: The case of the Canary Islands (Spain) | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.3390/met910110 | |
dc.subject.keyword | atmospheric corrosion | en |
dc.subject.keyword | ISO 9223 | en |
dc.subject.keyword | corrosivity categories | en |
dc.subject.keyword | predictive models | en |
dc.subject.keyword | archipelagic regions | en |
dc.subject.keyword | Canary Islands | en |