旋轉盤反應器(Spinning Disk Reactor, SDR)為製程強化中的典型的裝置之一,由於有良好的熱、質傳特性,且應用廣泛,因此本研究以模擬及實驗來探討SDR之混合特性,藉由商用計算流體力學(Computational Fluid Dynamic, CFD)軟體Fluent 14.0以三維結構之SDR進行模擬,觀察兩種互溶液體在SDR中的混合情形,並進一步將模擬結果量化成自定義的分離比率,分析轉速、總進料流率與進料方式對混合效率之影響,再結合硼酸、碘、碘酸與硫酸之平行競爭反應實驗,以分離指數作為SDR微觀混合效率之指標,量測不同操作下的混合效率。 於模擬及實驗中,探討進料流率、轉盤轉速、和進料管距離對SDR混合的影響,結果顯示,在CFD模擬中,當轉盤轉速越高,SDR的混合效果越好;當總進料流率越高,SDR混合效果越差;而當進料管距離越長,SDR的混合效果也會越差;而平行競爭反應實驗中也發現與模擬結果相同的趨勢,並在最後對模擬與實驗的趨勢進行比較,發現由於CFD模擬僅針對SDR盤面,而實驗的分離指數為整個反應器的微觀混合效率,才造成兩者間的不同。 根據上述結果,本研究成功以CFD建立SDR的三維混合模擬模型,並以平行競爭反應實驗證明CFD模擬之可信度,希望日後能藉由CFD的便利性與準確性來做為設計與優化SDR的工具之一。
Spinning disk reactor (SDR) is one of the typical equipment for process intensification. This device has extensive applications because of its excellent heat and mass transfer efficiency. This study uses simulation and experiment to explore the mixing characteristics of SDR, using the computational fluid dynamic (CFD) software Fluent 14.0 was used to simulate the mixing of two miscible solutions in SDR with 3-D model. Further, the simulation results were quantified by a custom segregation ratio, the effects of rotating speed, total inlet flow rate and inlets type on mixing efficiency was investigated. Beside, parallel competition reaction experiments were performed to obtain the segregation index for SDR. The results show that the higher the rotating speed, the better the SDR mixing effect; when the total inlet flow rate is higher, the worse the SDR mixing effect; and the larger the inlet pipe distance, the worse the SDR mixing effect. The experiment also showed the same trend as the simulation result. At the end, the trend between the simulation and the experiment is compared. It is found that the CFD simulation is only on the SDR disk surface, and the separation index of the experiment is the micromixing efficiency of the entire reactor, resulting in difference. Based on the above results, this study successfully established a 3D mixing simulation model of SDR using CFD, and the credibility of CFD simulation is proved by parallel competition reaction experiments. Because of the convenience and accuracy of CFD, it has a great potential as one of the tools for designing and optimizing SDR.