Abstract

LOPEZ MARTINEZ, Edgar; VAZQUEZ GOMEZ, Octavio  and  CAMPILLO ILLANES, Bernardo Fabián. Estimación del Esfuerzo de Fluencia de Soldaduras de Aceros Microaleados. Ingenier. mecáni. tecnolog. desarroll [online]. 2014, vol.5, n.1, pp.273-279. ISSN 1665-7381.

An artificial neural network (ANN) was designed to estimate the yield stress as a function of the chemical composition and hardness of high strength low alloy steels (HSLA) and high strength steels (HSS). The information required for the ANN was obtained by literature search to build a database. The designed ANN was of multilayer perceptón type with back-propagation learning rule and sigmoidal transfer function, varying the number of nodes in the hidden layer. It was determined that the design of the ANN with 11 nodes is able to predict the yield stress of a microalloyed steel according to the chemical composition and hardness. Once trained and tested the ANN, it was used to estimate the yield stress in the different zones and subzones of the weld of two experimental high strength microalloyed steels.

Keywords : Artificial neural networks; welding; yield strength; microalloyed steels.

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