本研究的目的是探討三重微流道的最佳流道形狀與散熱因子參數, 探討不同的流體與流道形狀組合交互影響下,對於微流道散熱影響的 重要參數,並找出其最佳組合因子以找出底座最小溫差。 本文使用 ANSYS FLUENT 分析軟體做模擬分析,並使用田口法優化找 出最佳散熱功率之組合參數,使用適應性類神經模糊推論系統(ANFIS) 確認結果,其中因子包含了流道入口寬度、流道入口高度 、 入口流道間距、流速、流體。 在初次模擬分析優化中各因子對實驗的貢獻度,其中以流速,流道二, 流道三,以及流質影響最大,在優化過程中最佳因子組合為 A2(流道 一:0.08mm)-B1(流道二:0.46mm)-C3(流道三:0.04mm)-D3(流 速:1.5m/s)-E3(中距一:0.06mm)-F3(中距二:0.06mm)-G2(上 距:0.06mm)-H1(流體:水),測得最小平均溫差為 16.02oC。 第二次模擬分析優化中並發現到因子間有交互作用,利用田口法交 互直交表進行分析,並使用適應性類神經模糊推論系統(ANFIS)確認, 最佳因子組合為 A’3(流道一:0.12mm)- B’1(流道二:0.46mm)- C’3(流道 三:0.04)為最佳解,測得最小平均溫差為 14oC。
The objective of the study is aimed at examining the optimized shape of three-layered microchannel and the performance parameters of heat dissipation effect. In the present study, we probe into the critical parameters to the performance of micro-channel under the confounding of different combination of fluids and channel shapes. The optimal combination of factors is found in order to obtain the minimal temperature difference between top and bottom surfaces. The ANSYS Fluent is applied for simulation analysis of the microchannel system. For optimum evaluation, the Taguchi method is used to figure out the combination factors of the optimal cooling capability, and the test results of the Adaptive Network-Based Fuzzy Inference System(ANFIS) is applied to confirm and verify the optimal combination obtained by the Taguchi method. The factors considered of the system include the width of channel entrance ( ), height of channel entrance ( ), spacing of channel entrance ( ), velocity and fluid. At the first optimization step, the factors of inlet velocity, channel2, channel3, and fluid are identified as the most influential contribution, and the optimal factor combination obtained is A2(channel1:0.08mm)-B1(channel2:0.46mm)-C3(channel3:0.04mm)-D3(v elocity:1.5m/s)-E3(spacing1:0.06mm)-F3( spacing 2:0.06mm)-G2( spacing 3:0.06mm)-H1(fluid :water), which has a minimum average temperature difference of 16.02℃. III For the second step of optimization, the factors are found by using the confirmation of the Taguchi’s Interaction Tables and the ANFIS. The optimal factors combination obtained is A’3(channel1:0.12mm) - B’1(channel2:0.46mm) - C’3(channel3:0.04mm), resulting a minimum average temperature difference of 14℃.