Prediction and Performance Investigation of Polyurethane Foam as Thermal Insulation Material for Roofing Sheet Using Artificial Neural Network

Abstract

The prediction and application of Polyurethane Foam in developing roofing sheets cannot be over-emphasized when considering the environmental changes coursed by thermal radiation. This paper presents an artificial neural network application to model and predict the indoor temperature resistance of polyurethane (PU) roofing in residential buildings. The study employed a data logger to measure the indoor and outdoor temperatures for three simulation environments (i.e., morning, afternoon, and evening) for two hours each. Furthermore, the authors employed the Levenberg-Marquardt algorithm to transform and predict the indoor temperature obtained in the residential building's polyurethane roofing house. The result shows that the PU roofing system could absorb the heat and reduce the house model's temperature with 6.9% in the morning, afternoon 15.8%, and 6.8% in the evening when compared with the temperature outdoor environment. The ANN was also able to train, test, and validate the experimental temperature results with 92.86%, 93.92%, and 95%, respectively. The mean square error and a testing error occurs at 0.1707 and 0.1689. Therefore, this study concluded that ANN's application in predicting the thermal insulation material such as the PU roofing system is highly efficient and will increase the manufacturer's performance evaluation. It has also created significant awareness of the community in employing the PU roofing system for residential buildings, which will reduce the rate of energy consumption in buildings.

Study of the Characteristics of Polyurethane as a Sustainable Material used for Buildings, Polymer Composite, Biomedical, and Electronics Application

“…The thermal conductivity of polyurethane differs with temperature, the density of material mass and moisture content; for example, the thermal conductivity (TC) of polyurethane can rise from 25mW/(mK) to 46mW/(mK) with increasing moisture volumes of 0 vol% to 10 vol% respectively. Polyurethane products can be punctured, cut, and fine-tuned at the construction site without any form of loss in heat resistance [22][23].…”

“…Furthermore, the work of Essien et al [51] says that when considering the environmental changes brought on by thermal radiation, the prediction and usage of polyurethane foam in developing roofing sheets must be regarded. An application of artificial neural networks (ANN) is presented in this paper to simulate and forecast polyurethane (PU) roofing in residential structures' ability to withstand high inside temperatures.…”