本論文將共軛梯度逆向運算法應用在兩個重要的熱傳問題:(1)用管壁溫度估算圓管管壁積垢層的厚度,(2)估算衝擊流冷卻問題中噴流出口的溫度。在第一個問題中,經由直接問題計算所獲得的溫度被當做實驗量測溫度(又稱模擬溫度)代入逆向運算中;而結果顯示本論文對二維與三維的圓管均可準確地估算出其管壁積垢層的厚度分佈。在第二個問題中,只要給定平板上需要冷卻的範圍與此範圍內可容許的最高溫度,逆向運算法即可計算出達成這兩項要求的噴流出口溫度。將此方法用在兩個衝擊流冷卻問題中,以逆向運算法計算的噴流出口溫度代入直接問題中所得的平板上最高溫度與給定的最高溫度相差不到1%。本論文所發展的方法可做為在超音波積垢層測量法之外的另一選擇,它可簡單且準確地估計出積垢層厚度以做為排定管路維護計畫時的重要參考數據。另外,當它應用在衝擊流冷卻問題時所穫得的資訊可做為設計冷卻系統時的依據。在工業上這兩者均有極高的應用價值。
In this study, a conjugate gradient method based inverse algorithm is applied to estimate the unknown three-dimensional fouling-layer profiles on the inner wall of a piping system using simulated temperature measurements taken on the pipe wall and the inlet jet temperature in an impinging jet cooling problem. For the piping system the temperature data obtained from the direct problem are used to simulate the exact temperature measurements. Results show that an excellent estimation on the fouling-layer profiles can be obtained for the cases investigated in this study. In the impinging jet cooling problem, given the maximum allowable plate temperature and the extent of the area on plate where temperature needs to be controlled, the jet temperature required to meet the two demands can be determined. The tests in two scenarios show that very accurate inlet jet temperatures were returned, resulting in a maximum temperature less than 1% difference with the specified temperature within the specified area. For the pipe fouling problem, the techniques presented here can be used as an alternative to ultrasonic waves fouling detection techniques to provide crucial information for the optimization of cleaning schedule for piping systems; and for the impinging jet problem, the method can be a great assist to engineers to design adequate thermal management systems for devices or processes requiring jet impingement cooling.