Structural Optimization of Flat-Face CRT by Using Hybrid Genetic Algorithms

概要

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This paper presents the development of a new structural optimization technique and its application to flat-face cathode ray tubes (CRTs). A hybrid genetic algorithm (GA) using four optimization parameters is proposed for application to the design of lightweight and flat-face CRTs. In this unique design procedure, a penalty function method is introduced in order to improve the efficiency of optimization. The optimization was carried out by taking into consideration various limiting conditions associated with the strength of materials, product functions and their manufacturing. It was found that the proposed hybrid GA effectively improves the efficiency and stability of optimum design. Moreover, a prototype of the flat-face CRT was manufactured on this basis. It was proved that the measured stress of the prototype corresponds with the analysis and the weight reduction of the prototype was 11% of a conventional CRT.