Abstract
An innovative methodology based on stringency levels is proposed in this paper and improves the current selection method for structural materials used in demanding industrial applications. This paper describes a new approach for quantifying the stringency of materials requirements based on a novel deterministic algorithm to prevent potential failures. We have applied the new methodology to different standardized specifications used in pressure vessels design, such as SA-533 Grade B Cl.1, SA-508 Cl.3 (issued by the American Society of Mechanical Engineers), DIN 20MnMoNi55 (issued by the German Institute of Standardization) and 16MND5 (issued by the French Nuclear Commission) specifications and determine the influence of design code selection. This study is based on key scientific publications on the influence of chemical composition on the mechanical behavior of materials, which were not considered when the technological requirements were established in the aforementioned specifications. For this purpose, a new method to quantify the efficacy of each standard has been developed using a deterministic algorithm. The process of assigning relative weights was performed by consulting a panel of experts in materials selection for reactor pressure vessels to provide a more objective methodology; thus, the resulting mathematical calculations for quantitative analysis are greatly simplified. The final results show that steel DIN 20MnMoNi55 is the best material option. Additionally, more recently developed materials such as DIN 20MnMoNi55, 16MND5 and SA-508 Cl.3 exhibit mechanical requirements more stringent than SA-533 Grade B Cl.1. The methodology presented in this paper can be used as a decision tool in selection of materials for a wide range of applications.
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Acknowledgements
This work has been financially supported by the funds provided through the Annual Grant Call of the E.T.S.I.I. of UNED of reference 2014-ICF04.
We would like to acknowledge the panel of experts, specifically A. Sanjuán and F. Izquierdo (Trillo NPP), C. Oria and J.M. Figueras (National Nuclear Safety Council—CSN), F. Carrasco (Almaraz NPP), J. Abad and A. Bernardo (Trillo NPP-SGS), J. González, F. Palacios and R. Alcántara (Trillo NPP-Applus), F. del Pozo and S. de Abril (EEAA engineering), J. Jordán, J. Sánchez and S. Muñoz (SGS Tecnos), A.M. Aragón and Dra. Marta Multigner (UCM), Dra. I. Martín (CENIM-National Metallurgical Research Center), Dr. D. Rodríguez (CNEA), E.J. Harkness (First Energy-USA, Perry NPP), Dr. J. Jerz (Institute of Materials & Machine Mechanics, Slovak Academy of Sciences), Dr. J. García (Enusa), Dr. P. Angelo (U.S. Oak Ridge National Laboratory), Dr. G. LoMonaco (Genoa University) and Dr. G. Lucas (University of California Santa Barbara).
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Rodríguez-Prieto, Á., Camacho, A.M. & Sebastián, M.Á. Materials Selection Criteria for Nuclear Power Applications: A Decision Algorithm. JOM 68, 496–506 (2016). https://doi.org/10.1007/s11837-015-1687-y
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DOI: https://doi.org/10.1007/s11837-015-1687-y