以表面硬化漆料覆蓋作為避免鋁合金金屬氧化的方法已經非常普遍，利用化學前處理能使金屬能與粉體、液體漆料緊密結合，在漆料加熱固化後，穩定的漆層結構便能有效的保護鋁合金金屬不會發生鋁氧化，降低氧化後發生的材料脆化風險。
在漆料都達到有效固化溫度的前提，鋁合金金屬與漆料間的化學性前處理是影響腐蝕的主要因素，由於前處理中的脫脂劑（弱鹼性）、酸洗劑（酸性）、皮膜劑（中性）、後處理劑的使用最適環境皆不同，且溫度與濃度的不同也會影響後續漆料與鋁合金金屬結合的有效性。因此，本研究以能同時作用多參數因子的田口品質工程法為基礎，在最有效利用原生產製程的前提下，找出能降低鋁合金腐蝕的組合。
本研究使用田口品質工程法中 L8(24) 直交表，對粉、液抗蝕漆的兩種不同的漆層系統、酸洗劑濃度使用 1% 與2%、皮膜溫度 30°C與 35°C，以及有無添加後處理劑進行實驗，並利用 Minitab 軟體進行田口品質工程法找出最佳參數組合。以 Matlab 軟體對田口品質工程法得出的參數配置進行實驗，並使用其數據進行預測模型建立，從預測出的結果可得知當使用粉體抗蝕漆與壓克力粉體漆層系統、酸洗劑濃度使用1%、皮膜溫度在 30°C以及不添加處理劑是最好的抗腐蝕組合，後續的確認試驗中，預測值也接近本研究預期的實際平均腐蝕長度接近。

Using curing paint coat as a protection to avoid the oxidation of aluminum alloy has been a very commonly used method. The metal can be bonded with powder paint or liquid paint by chemical pre-treatment. After heating, the cured coating becomes a stable structure to protect the aluminum alloy from oxidation and reduce the risk of material embrittlement due to oxidation.
Under the premise that the paint has reached its curing temperature, the main factor that affects corrosion will be the chemical pre-treatment between paint and aluminum alloy. The best conditions for the use of degreasing agents (weakly Alkalinity), pickling agents (Acidity), conversion agents (neutral), and post-treatment agents are very different, and the differences in concentration and temperature will also affect the effectiveness of paint bonding. Hence, using Taguchi Method can simultaneously consider the different parameters, and also under the most effective use in original production process, to reduce the corrosion of aluminum alloys.
In this study, the parameters of degreasing agent, pickling agent, conversion agent, and two different paint systems were displayed by Orthogonal Array L8(24). Taguchi method will base on the orthogonal table test result to calculate the predicted optimal parameter.
Use Matlab software to establish an artificial neural network model. The prediction result is to use the powder anti-corrosion paint with acrylic powder paint system, 1% of pickling agent concentration, set coating agent at 30° C, and no treatment agent. In the confirmation test, the prediction value is close th the average corrosion length.

中文摘要.................................i
英文摘要 ................................ii
誌謝....................................iii
目錄....................................iv
表目錄...................................vi
圖目錄.................................. vii
第一章 緒論............................1
1.1 研究背景.........................1
1.2 研究目的.........................1
第二章 文獻探討.........................3
2.1 鋁合金腐蝕原理...................4
2.2 金屬化學性前處理.................5
2.3 田口品質工程法...................6
2.3.1 田口品質工程法介紹...............6
2.3.2 田口品質工程法實施...............7
2.3.3 田口品質工程法步驟...............8
2.4 類神經網路......................10
2.4.1 倒傳遞神經網路演算法.............10
第三章 研究方法........................12
3.1 研究架構........................12
3.2 樣品製備........................13
3.3 實驗設備........................15
3.4 田口品質工程法...................17
3.4.1 控制因子、水準選用...............17
3.4.2 直交表實驗配置...................17
3.5 絲狀腐蝕測試方法.................18
3.5.1 預處理測試......................18
3.5.2 高溫高濕儲存測試.................18
3.5.3 絲狀腐蝕測試量測方法.............18
第四章 實驗結果與分析..................19
4.1 實驗結果........................19
4.2 田口品質工程法分析結果...........19
4.3 類神經網路預測模型建立...........21
4.4 預測值與確認測試................23
第五章 結論與建議......................24
5.1 結論...........................24
5.2 建議...........................25
參考文獻...............................26
英文論文大綱............................28

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