Smart Model for Durable and Efficient Antireflection Coating Process

Anti-reflection coatings are necessary to avoid optical losses and increase the efficiency of the solar cells. Stability for Anti-reflection (AR) coating process for solar cells and optical devices is very sensitive to many variables. These variables may be due to manufacturing process of depositing AR coating or due to the environmental effects during normal operation. In this paper a proposed fuzzy model is introduced to assure quality of the coating process (CP) that guarantees the stability, repeatability and durability of the CP. Experimental data are collected for the coating process at different coating parameters to build the proposed fuzzy model. The validity of the model is verified using different input parameters to the model, the output of the proposed model agrees with the actual output from the Coating machine. Current coating machines include sensing devices for all coating parameters included in the model. Hence introducing the proposed fuzzy model in the control system of the coating machines would enable the prediction of the performance of the coating process before actual running of the coating process. The proposed model helps for the prediction of the AR coating performance on optical devices under different parameters variation; hence the same model can be applied to the solar panels fabrications