Designing a Virtual Laboratory of the Heat Exchanger Experiment by Artificial Neural Network (ANN)

A great number of universities worldwide are having their education interrupted, partially or fully, by the spread of the corona virus (COVID-19). Consequently, an increasing number of universities have taken the steps necessary to transform their teaching, including laboratory and workshops into an online or blended mode of delivery. Irrespective of the measures taken, universities must continue to maintain their high academic standards and provide a high-quality student experience as required for delivery of learning outcomes associated with each degree program. This has created a challenge across the higher education landscape, where academics had to switch to remote teaching and different approaches to achieving laboratory delivery. As a result, students have not been receiving face-to-face teaching, and access to laboratory facilities has been limited or nearly impossible. In this paper we are seeking to develop the heat exchanger laboratory and make it remotely by using the Matlab and Simulink tool using the artificial neural network (ANN) method instead of using the conventional way of modelling and simulating the system.