在醫療及工業的一些應用上，深度磁場是可以幫助解決問題的一項重要的關鍵因子，而深度磁場產生裝置的設計，將是一項重要的技術。在醫療的應用上，深度磁場是實現電磁熱燒灼技術應用在人體內部深層腫瘤熱治療與工業用金屬熱處理感應加熱的主要關鍵。本論文提出了一種新開發用於電磁感應加熱的軟性疊層銅線圈（FLC），它比傳統的硬銅管線圈更具有多個優點。我們研究了軟性疊層銅線圈的匝距（線圈匝與匝之間的距離），並且對所提出的軟性疊層銅線圈在加熱性能的影響。出於各種目的，可以將軟性疊層銅線圈纏繞成不同的形狀。但是，加熱系統的輸出功率會受到線圈電感的很大影響。這項研究主要是在通過更改原始設計的軟性疊層銅線圈直徑和匝距來減小電感值，以增強深度磁場產生裝置的輸出功率，可即時改善處理並滿足實際的加熱要求。實驗結果表明，使用軟性疊層銅線圈的加熱溫度效果比起使用傳統硬銅管線圈的加熱溫度效果提高了六倍，其中調節線圈匝距可以使豬肝組織的金屬針溫度最高可升至48.3 °C。此外，本研究使用有限元素分析模擬了軟性疊層銅線圈的磁場分佈，並探討了金屬針和豬肝組織消融的線圈設計以及加熱效果。該方法的改進之處包括三個方面：（1）軟性疊層銅線圈可用於治療人體的不同部位。（2）軟性疊層銅線圈比硬銅管線圈具有更好的加熱效果。（3）降低了軟性疊層銅線圈的電感值，可提升深度磁場產生裝置的功率並滿足了實際的加熱要求。
我們也提出了一種深度磁場產生裝置即時動態溫度目標曲線生成器的方法，用於工業用金屬熱處理上，該方法對應於上升時間設置和最終目標溫度，作為深度磁場產生裝置在金屬加熱過程應用中使用模糊邏輯控制器的參考。為了實現此目標，必須根據系統情況以及專家的經驗來設置模糊控制器中的一些量化因子，這將導致控制器缺乏適應性。為了解決這個問題，本論文針對所有的量化因子進行了詳盡的分析，並且設計了一個自調變模組，使控制器可以根據系統情況進行即時調整，最終使其更具自適應性。在設計過程中，使用有限元素分析（FEA）進行了傳統模糊邏輯控制器（CFLC）和自調變模糊邏輯控制器（STFLC）在控制能力模擬與實驗上的比較。最後，在感應加熱系統上實際進行了實驗，以驗證所提出的自調變模糊邏輯控制器的效果。結果顯示，所提出的自調變模組大大提高了控制器的控制能力和適應性。

In medical ablation and industrial heating applications, deep magnetic field is the most critical factor to solve the problems of heating. The design of deep-magnetic-field generating device is the key technology concerned. In medical ablation, deep magnetic field is the key factor to carry out the application of electromagnetic cauterization and metal induction heating in thermotherapy of tumor in deep human body. This thesis proposes a newly developed flexible laminated copper coil (FLC) for electromagnetic thermotherapy that has several advantages over traditional hard copper coils. We study the effect of pitch (the distance between coil turns) on the heating performance of the proposed FLC coil. The flexible coil can be wound into different shapes for various purposes. However, the output power of the heating system can be substantiality affected by the coil inductance. This study is aimed toward reducing coil inductance by changing the original flexible coil diameter and pitch in order to enhance the output power of a high-frequency machine, improve treatment, and meet the actual heating requirements. The results of the experiments show that the temperature is six times better when using the flexible coil as compared to when using the traditional hard copper coil, where adjusting the coil pitch can increase the needle temperature by a maximum of 48.3 °C in pork liver tissue. In addition, this study simulates distribution of the magnetic field of the flexible coil via a finite element analysis and explores the coil design and heating effect of metal needle heating and liver tissue ablation. The improved features of this proposed method are threefold: (1) The flexible coil can be used to treat different zones of the human body. (2) The flexible coil exhibits better heating performance than a hard copper coil. (3) The coil inductance is lowered, and power is improved, which in turn, leads to better treatment and meets the actual heating requirements.
We also present a method to build a dynamic target curve producer that corresponding to the rising time setting and the ultimate target temperature as a reference for a fuzzy logic controller that is used in the for metal induction heating process application. To achieve this goal, there are some quantization factors in a fuzzy controller that must be set according to the system situation as well as the experience of experts that will cause the controller to have a lack of adaptivity. To solve this problem, in this paper, all the quantization factors are analyzed thoroughly, and a self-tuning module is designed to make it possible for the controller to do real-time adjustments based on the system situation and eventually make it more adaptive. During the design process, a simulation comparing the control capabilities of the conventional fuzzy logic controller (CFLC) and the self-tuning fuzzy logic controller (STFLC) is made using a finite element analysis (FEA). Finally, experiments are carried out on the induction heating system to verify the effect of the proposed self-tuning fuzzy logic controller. The results show that with the proposed self-tuning module, the control capability and adaptivity of the controller were drastically improved.

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