NDLI: Modelagem Das Propriedades Mecânicas De Tubos De Aço Utilizando Redes Neurais Artificiais

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Modelagem Das Propriedades Mecânicas De Tubos De Aço Utilizando Redes Neurais Artificiais

Content Provider	Semantic Scholar
Author	Corrêa, Ramon Santos Sampaio, Patricia Teixeira Braga, Antônio P.
Copyright Year	2017
Abstract	The discovery of oil wells in very deep layers requires restricted tolerances of the mechanical properties of the steel tubes used for this purpose. Besides that, market request for cost savings and added value in the products offered. On the other hand, as the industrial information systems are becoming even more interconnected and mature, they have been capable to provide more accurate process data and also to use the advanced computational tools for data analysis and modeling. This work aims to predict the mechanical properties of the steel tubes after tempering process, using the steel chemical composition, dimensional parameters and process parameters. The online monitoring of the mechanical properties trend allowed a preventive operation in tempering furnace, enabling a reducing in the lead time of the process, as the average time of 2 days for the laboratory results. The use of Neural Networks (NN) was supported by works related to this subject and by successful business cases in the industry. The results obtained by the use of NN models were more assertive than other techniques used for same purpose. Besides that, a single NN model for each mechanical property, considering all steel families produced in Vallourec, made the model calibration process and its sustainability much easier.
Starting Page	43
Ending Page	51
Page Count	9
File Format	PDF HTM / HTML
DOI	10.5151/2237-0234-26278
Alternate Webpage(s)	https://abmproceedings.com.br/ptbr/article/download-pdf/modelagem-das-propriedades-mecanicas-de-tubos-de-aco-utilizando-redes-neurais-artificiais
Alternate Webpage(s)	https://doi.org/10.5151/2237-0234-26278
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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