Prediction of Forming Limit Diagram for AA5754 Using Artificial Neural Network Modelling

Mohamed Mohamed; Sherif Elatriby; Zhusheng Shi; Jian Guo Lin

doi:10.4028/www.scientific.net/KEM.716.770

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 716Prediction of Forming Limit Diagram for AA5754...

Prediction of Forming Limit Diagram for AA5754 Using Artificial Neural Network Modelling

Abstract:

Warm stamping techniques have been employed to solve the formability problem in forming aluminium alloy panels. The formability of sheet metal is a crucial measure of its ability for forming complex-shaped panel components and is often evaluated by forming limit diagram (FLD). Although the forming limit is a simple tool to predict the formability of material, determining FLD experimentally at warm/hot forming condition is quite difficult. This paper presents the artificial neural network (ANN) modelling of the process based on experimental results (different temperature, 20°C-300°C and different forming rates, 5-300 mm.s^-1) is introduced to predict FLDs. It is shown that the ANN can predict the FLDs at extreme conditions, which are out of the defined boundaries for training the ANN. According to comparisons, there is a good agreement between experimental and neural network results

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Periodical:

Key Engineering Materials (Volume 716)

Pages:

770-778

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.716.770

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Online since:

October 2016

Authors:

Mohamed Mohamed*, Sherif Elatriby, Zhusheng Shi, Jian Guo Lin

Keywords:

Aluminium Alloy, Artificial Neural Network (ANN), Forming Limit Diagram (FLD), Warm Forming

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