Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/6762
Title: Metallurgical characterization and computational simulation of a screw spike aiming to improve its performance in railways.
Authors: Faria, Geraldo Lúcio de
Godefroid, Leonardo Barbosa
Cândido, Luiz Cláudio
Silotti, Thayene Oliveira
Keywords: Tirefond screw
Stress distribution
Computational simulation
Issue Date: 2016
Citation: FARIA, G. L. de et al. Metallurgical characterization and computational simulation of a screw spike aiming to improve its performance in railways. Engineering Failure Analysis, v. 66, p. 1-7, 2016. Disponível em: <http://www.sciencedirect.com/science/article/pii/S1350630716301273>. Acesso em: 11 jul. 2016.
Abstract: The screw spike is an important structural component of railroads. It is a fixation component responsible for supporting the plat fixation on the sleeper and guarantees the railroad stability. This component is commonly produced by hot forming processing of low carbon steels. In Brazil, this component has been often failing in service due to the increase in the transported loads by trains in last years. This work investigated the stress concentration susceptibility of this component in order to understand the effects of screw threads on the mechanical behavior of the screw spike. Chemical and microstructural analyses were performed using optical emission spectrometry and optical microscopy; tensile and hardness tests were also executed. Computational models of static loading were used to determine the stress distribution along the actual geometry of the studied screw and to understand the main causes of recurrent failures. The use of appropriate relations of Mechanics of Materials associated with computational simulations allowed the proposal of some changes in the screw spike original project aiming to improve its performance in service.
URI: http://www.repositorio.ufop.br/handle/123456789/6762
ISSN: 13506307
metadata.dc.rights.license: O Periódico Engineering Failure Analysis concede permissão para depósito deste artigo no Repositório Institucional da UFOP. Número da licença: 3914191378905
Appears in Collections:DEMET - Artigos publicados em periódicos

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