| Summary: | 碩士 === 義守大學 === 工業管理學系 === 103 === The research combines the Taguchi experiment and grey relational analysis (GRA) to deal with the problem of optimizing the parameters of the SiO2 aerogel. In addition, this paper tries to understand the main process factors influencing the quality characteristics of the aerogel through the experiments.
After discussing with the domain experts, we chose three quality characteristics and three experimental factors with three levels and adopted L9 (34) orthogonal array to proceed with the experiment. The three quality characteristics are density, surface area, and pore size. To obtain the weight of the quality characteristics, the entropy measurement was applied. Based on the results of GRA with entropy weight and confirmation run, the optimal process parameters of silicon aerogel were obtained. To find the optimum level of process parameters, the research applies back-propagation neural network to build the relationship between the process parameters and the quality characteristics.
The experiment results show that the experiment conditions with the best grey relation grade together with the parameters obtained by the method combining the Taguchi experiment and GRA can simultaneously improve the multiple quality characteristics. Both of the parameters can be used in the production of the aerogel in practice. Because of the insufficient of the training samples, the deduction of the back-propagation neural network doesn’t work well. To get the better results of the neural network, more samples should be required in future research.
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