本研究成功模擬出圓柱型固態氧化物燃料電池的電解質陶瓷胚體在不同孔隙度、不同幾何比例情況下,高分子黏著劑熱燒除製程的動態最佳化操作途徑。藉著高分子黏著劑的熱裂解動力方程式和氣體質傳方程式來建立二維圓柱模型,結合數值分析與最佳化等方法模擬的黏著劑移除製程最佳化加熱速率操作策略可以縮短熱燒除時間。模擬結果顯示,當加熱速率越快時,胚體中心點的壓力極值會越大;樣品孔隙度和幾何比例大小會影響胚體中心點的壓力極值;當樣品的孔隙度越小、熱燒除的限制壓力越小的時候,完成製程所需要的時間越久。同樣分析方法使用在PVB/YSZ(內層)/ PVB/Ni(外層)的雙層陶瓷/金屬樣品(簡稱為CiMo),發現外層的PVB/Ni會對熱燒除製程的樣品產生很大的影響。經由動態最佳化的加熱速率操控策略,在控制可避免胚體缺陷的產生條件下,可縮短加熱時間和節省製程成本。
The dynamic optimization of polymer binder burnout processes was evaluated for a tubular electrolyte of solid oxide fuel cell in different sample porosities and sizes. Optimal heating trajectories of the binder removal processes to minimize the burnout time were estimated by the proposed algorithm. The burnout process model was described by the mass transport phenonemum and the kinetics of polymer binder thermal degration. The computational results show that higher heating rates can generate larger maximum buildup pressure at the center of the ceramic body. The maximum buildup pressure was affected by the sample properties, such as porosity and size. The burnout period of time appeared longer for the sample prepared with smaller porosity and burnout under lower constrained buildup pressure. The approach was applied on the PVB/YSZ(inside layer)/PVB/Ni(outside layer) sample. It is found that the PVB/Ni layer can greatly influence the conditions of the burned sample in the process. The minimum time required to remove the binder of the sample can be estimated by the the dynamic optimization approach under the constrain of a critical buildup pressure.