此研究探討Gamma型史特林引擎之移動再生器幾何參數對引擎效能之影響，並利用CFD模擬分析與田口優化方法找出最佳參數配置。本研究選定四個控制因子，分別為移動再生器孔洞面積與上下板總面積的比例、移動再生器的孔洞數量、引擎冷熱端溫度差與引擎運轉轉速，並依序低、中、高排序設定控制因子的水準 : 移動再生器孔洞面積與上下板總面積的比例為14%、17%與20%、移動再生器的孔洞數量為75、105與140個、引擎冷熱端溫度差為200K、300K與400K、引擎運轉轉速為60、180、300 rpm。利用L9直交表將上述控制因子與水準進行排序，即可獲得簡化過的九組試驗，將九組試驗進行CFD模擬分析，並計算輸出淨功率、熱效率與再生效率。由田口法訊噪比分析可預測輸出淨功率的最佳配置為面積比14%、孔洞數量75個、引擎冷熱端溫差400K與引擎運轉轉速為300 rpm，且預測最佳輸出淨功率為66.599W；熱效率的最佳配置為面積比20%、孔洞數量140個、引擎冷熱端溫差400K與引擎運轉轉速為60 rpm，預測最佳熱效率為18.333 %；再生效率的最佳配置為面積比14%、孔洞數量75個、引擎冷熱端溫差400K與引擎運轉轉速為60 rpm，預測最佳再生效率為58.553 %。本研究將最佳輸出淨功率之配置進行CFD模擬分析，可得輸出淨功率為65.368 W、熱效率為12.506 %與再生效率為51.892 %，其結果與田口法訊噪比分析之誤差分別為1.8%、6%與2.3%。
本研究結合CFD模擬與田口實驗設計法進行史特林引擎之優化分析，不僅有效降低傳統實驗所需之成本與時間，也可以深入探討不同幾何設計參數對於引擎內部熱傳機制、流場結構與溫度分布等物理行為，進而分析其對優化目標（如輸出淨功率、熱效率與再生效率）之影響。因此，本研究所建構之分析流程與結果，對於未來進行史特林引擎幾何結構最佳化，具參考價值與實用性。

In this study, CFD simulations were used to identify the optimal geometric and operating parameters of a Gamma-type Stirling engine. The L9(3⁴) orthogonal array from the Taguchi method was utilized for optimization analysis, with two geometric factors (area ratio of the moving regenerator and number of holes) and two operating factors (temperature difference and engine rotational speed), each set at three levels: area ratios of 14%, 17%, and 20%; hole numbers of 75, 105, and 140; temperature differences of 200 K, 300 K, and 400 K; and rotational speeds of 60, 180, and 300 rpm. Results from CFD and signal-to-noise ratio analysis showed that the optimal configuration for maximum net power was: 14% area ratio, 75 holes, 400 K temperature difference, and 300 rpm. For thermal efficiency, the best setup was: 20% area ratio, 140 holes, 400 K, and 60 rpm. For regeneration efficiency, the optimal configuration was: 14% area ratio, 75 holes, 400 K, and 60 rpm.

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