Oct 15, 2020 · This study develops predictive models for key mechanical properties of seamless steel tubes, by strength, ultimate tensile strength and hardness ...
Oct 22, 2024 · This study develops predictive models for key mechanical properties of seamless steel tubes, by strength, ultimate tensile strength and hardness ...
Oct 15, 2020 · In this context, neural networks were applied to predict the yield strength and ultimate tensile strength properties of austenitic stainless ...
Abstract. In this investigation, a neural network model was established to predict mechanical properties of 25CrMo48V seamless tubes.
May 8, 2024 · In the present study, an artificial neural network-based model (ANNs) was developed to predict the layer thickness of pre-nitrided steels.
Researchers have employed ANN to predict the mechanical properties of materials by measuring data and using these to train a model. Kim et al. (2008) predicted ...
This study presents the possibility of using artificial neural network (ANN) for describing and predicting the high temperature mechanical behavior of ...
This work employs a series of machine learning techniques, namely neural networks, random forests and gradient boosting trees, to predict critical mechanical ...
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Modelling of thermal shrinkage of seamless steel pipes using artificial neural networks (ANN) focussing on the influence of the ANN architecture · Raphael ...
Mar 5, 2023 · The main objective of this work was to develop a numerical model that could be used to estimate the thermal shrinkage of seamless steel pipes, ...