Prediction of Degradation Temperature of Polyamide by Biofuels Using Artificial Neural Network

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Yazdani Hamid; Samiei Yeganeh Saeid; Akbari Nasab Hossein

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Journal Paper

Paper Information

Journal: Nashrieh Shimi va Mohandesi Shimi Iran Year:2022 | Volume:41 | Issue:1 (103) Page(s): 313-323

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Information Journal Paper

Title

Prediction of Degradation Temperature of Polyamide by Biofuels Using Artificial Neural Network

Author(s)

Yazdani Hamid | Samiei Yeganeh Saeid | Akbari Nasab Hossein | Issue Writer Certificate

Keywords

multilayer Perceptron

Polyamide

Artificial Neural Network

Degradation Temperature

Biocompatile Fuel

Abstract

The aim of this study was to apply an Artificial Neural Network to predict the Degradation Temperature of Polyamide 12 under the influence of several factors such as environment, biofuels, and temperature over time. In this modeling, a three-layer perceptron (MLP) neural network is used. The perceptron neural network consists of three input layers, a hidden layer, and an output layer. The inputs of this network are three variables related to ethanol concentration, temperature, and time and its output is the temperature of Polyamide degradation. The perceptron neural network was designed with a linear transfer function at the output layer for modeling. A comparison of experimental results and network modeling results showed R2 = 0. 99. Also, using experimental data, the mean squared error and absolute percentage error of system error were 0. 09 and 0. 03, respectively. Then, the Degradation Temperature and the effects of several factors such as ethanol percent and temperatures (20, 40, and 60) degrees Celsius on the physical properties of Polyamide 12 during times (0, 900, 5000, 3000, 6000, and 7000) hours are predicted and the results show the high accuracy of the neural network in estimating the Degradation Temperature.

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APA: Copy

Yazdani, Hamid, Samiei Yeganeh, Saeid, & Akbari Nasab, Hossein. (2022). Prediction of Degradation Temperature of Polyamide by Biofuels Using Artificial Neural Network. NASHRIEH SHIMI VA MOHANDESI SHIMI IRAN (PERSIAN), 41(1 (103) ), 313-323. SID. https://sid.ir/paper/1039739/en

Vancouver: Copy

Yazdani Hamid, Samiei Yeganeh Saeid, Akbari Nasab Hossein. Prediction of Degradation Temperature of Polyamide by Biofuels Using Artificial Neural Network. NASHRIEH SHIMI VA MOHANDESI SHIMI IRAN (PERSIAN)[Internet]. 2022;41(1 (103) ):313-323. Available from: https://sid.ir/paper/1039739/en

IEEE: Copy

Hamid Yazdani, Saeid Samiei Yeganeh, and Hossein Akbari Nasab, “Prediction of Degradation Temperature of Polyamide by Biofuels Using Artificial Neural Network,” NASHRIEH SHIMI VA MOHANDESI SHIMI IRAN (PERSIAN), vol. 41, no. 1 (103) , pp. 313–323, 2022, [Online]. Available: https://sid.ir/paper/1039739/en

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