Numerical Automated Stiffness Optimization of a Thin Television Back-Cover Module: Research on the Industrial Problem

This paper proposes a global optimization method to ensure maximum stiffness and minimum material cost without deforming the thin organic light-emitting diode (OLED) TV module when electrogalvanized and galvanized steel sheets are used. A meta-model and a nondominated sorting genetic algorithm II (NSGA-II) approach are used as a strategy for global optimization. To reduce the errors of the meta-models, the main design variables that affect the stiffness, material cost, and constrained stress are quantitatively analyzed using an orthogonal design of experiment, and the best meta-model is selected using the root mean-square error index that covers the interpolation and regression models. Through the NSGA-II approach, the relationship of the optimal design between the stress and material cost of the OLED TV module can be plotted as a Pareto-optimal front and is used to select the optimal design according to the design intention of the engineer. In this study, the authors expect that the procedure for determining the optimal design using the meta-model and NSGA-II provide an intuitive and efficient optimization method for multi-purpose optimization problems of thin OLED TV modules.