On the numerical modelling of friction stir spot processing of selective laser manufactured AlSi10Mg alloy blocks

Morvayová, Alexandra; Casalino, Giuseppe

doi:10.1016/j.procir.2023.06.122

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Several methods have been proposed and employed over the years. On one hand, Finite Element Analysis is a widely used computational technique that allows for the simulation of the material's mechanical response [12][13][14][15]. On the other hand, continuum mechanics-based models, which incorporate the material's constitutive relations, have been developed to predict the alloy's macroscopic behavior under various conditions [16,17].…”

Section: Introductionmentioning

confidence: 99%

Modeling of compressive stress in AlSi10Mg alloys using feed-forward neural networks

Rodríguez-Sánchez,

Acevedo-Alvarado

2024

Eng. Res. Express

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This study addresses the challenge of modeling compressive stress in AlSi10Mg foams by introducing a method that employs feedforward artificial neural networks (ANNs) and their interpretability, which helps to simulate and analyze material behavior under various conditions. The main objective is to develop a predictive ANN model that can effectively simulate material responses under several factors, incorporating diverse testing parameters and material specifications related with its synthesis. An optimized ANN model, featuring eleven neurons in its hidden layer, was used and demonstrated high predictive accuracy, achieving $R^{2}$ values exceeding 0.94. Additionally, a SHAP interpretability analysis was conducted to assess the influence of key factors such as strain and material conditions on the stress response. The results highlight the significant role of material synthesis processes, compared to the strain rate, in the stress response. In conclusion, this method presents a comprehensive tool for studying complex stress behaviors in AlSi10Mg-based foams, offering insights that could guide future material development and research.

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