Artificial Neural Network Model for Predicting the Energy Loss of Natural Rubber Foam
نویسندگان
چکیده
Abstract In this work, a back-propagation artificial neural network model was optimally developed based on 25 experimental datasets for predicting the energy loss percentage of natural rubber foam. The foam specimens were prepared in Banbury internal mixer at various conditions mixing temperature (40-80°C), rotor speed (40-80 rpm), and mastication time (1-5 min). Stress-strain loops analyzed by applying compressive force aspeed test 500 mm/min with capacity load cell 2.5 kN, further calculated. development, randomly divided into 70:15:15 training, validation, testing respectively. Levenberg-Marquardt algorithm used as training function because its fast convergence. prediction results revealed that average accuracy three models is higher than 90%. From material design point view, could be implemented to find proper obtain maximum dissipation.
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ژورنال
عنوان ژورنال: IOP conference series
سال: 2023
ISSN: ['1757-899X', '1757-8981']
DOI: https://doi.org/10.1088/1757-899x/1280/1/012023