工程學

Originally, the Tesla transformer was developed to transmit energy and messages wirelessly. But it did not prove itself for either of these applications, so today it is only used for research purposes. Over time, the Tesla transformer has evolved and improved. Today it is possible with Tesla transformers to generate powerful and highly precise controlled discharges. During operation, impressive high-voltage discharges occur at the transformer. A tesla transformer is basically a high voltage generator that achieves a voltage boost by using two magnetically coupled LC series resonant circuits of the same resonant frequency. The Dual Resonant Solid State Tesla Coil (DRSSTC) built in this work has a high power IGBT half bridge module to excite the primary resonant circuit at the resonant frequency. The IGBTs are driven in such a way that audible pressure waves, and therefore music, are generated by the electrical discharges at the high voltage electrode. Within the scope of this work were the following two questions: - How is a DRSSTC designed and built? The DRSSTC system realized in this work is about 80 cm high and reaches about one-meter-long discharges. The design, development, and construction of the transformer are documented in detail and extensively in this thesis. - How does one measure an electrical voltage of 200,000 V, which changes sign more than 100,000 times per second? Two approaches have been taken to measure the voltages. Derived from the energy balance of an ideal capacitor and an ideal coil, a secondary voltage of about 200 kV was calculated via secondary current measurement. The second approach uses a voltage measurement via an in-house developed measuring electrode and a calculated divider ratio between the measured voltage and the secondary voltage. A relatively unrealistic secondary voltage of about 750 kV was measured since the divider ratio depends on approximate values. Nevertheless, the measuring electrode can be used for investigations of the voltage curve, or the divider ratio can be calibrated via the secondary current measurement. The development of such a transformer laid the foundation for much further research and scientific analysis.

全球暖化與氣候劇烈變遷是個迫在眉睫的問題，大氣中溫室氣體增加，主要是由於燃燒化石燃料排放二氧化碳所造成，若能把二氧化碳氣體加以利用，就能有效減緩地球溫度的上升。在本研究工作中，我們首先利用哈默法將石墨與強氧化劑生成氧化石墨烯(Graphene Oxide, GO)，然後以適當比例混合GO、聚二甲基矽氧烷(Polydimethylsiloxane, PDMS)與正己烷，成功地製備出多孔性石墨烯電極，並採用離子液體([EMIm]Cl)/碳酸丙烯酯(Propylene Carbonate, PC)作為電解質，搭配鎂金屬作為陽極，開發出低成本且實用性高的「鎂金屬∕CO2燃料電池」，此電池會將二氧化碳穩定的形成草酸鎂(Magnesium Oxalate Hydrate)封存起來，並產生1.6伏特的直流電壓，此一氣呵成的二氧化碳吸附、封存與產能發電，符合綠色環保與能量再生的永續循環理念，非常值得推廣及利用。

車床實習課程中，「角度偏心」技能於教科書資料不多，網路查尋資訊亦少，而此難度高技能所製作產品是迴旋轉直線運動曲柄軸機構所應用。 原始點分析為一種創作情境思維模式，此模式起源於問題產生時之因果關係。專題理論發想源自夾持偏心軸系定位關係及幾何學中「圓」切線性質。此發想讓我們研擬出兩項車製角度偏心核心調校關鍵技術；一是夾頭夾持軸系與工件維度所在軸系定義；二是工件量測位置定義。 依二項技術需求，本組設計出一套輔助定位模組；且經由實驗證明此模組貢獻度是解決車床角度偏心調校問題及對曲柄軸達成簡易快速定位角度量測功能。效度上明顯已達突破性調校應用。對於車床加工人員，提供調校操作簡易方便且精度控制顯著性高的選擇。

Technology is erratic. We never know what could be the next big thing. Nowadays, IoT (the internet of things) has taken over the market. Every technology created nowadays is somehow related to IoT. You should manage to connect the IoT technology with a robust area of hospitality. Catering customers' needs during peak hours at any restaurant or cafe could get overwhelmed with hectic tasks such as taking orders, fetching water, and ordering meals. We created a raw model to accommodate the limitations of the human mind. The technology-based IoT (Internet of things) can come in handy during hectic sessions. A Robot waiter is built from scratch using materials like Arduino (2), Gear DC motor (2), L298N motor driver (1), Ultrasonic sensor (2), IR sensor (2), Servo motor (4) HC-05 Bluetooth module. Desired orders are sent on a wireless network through the menu bar to the kitchen. Then, the robots transfer the food from the kitchen to the customers. The floor will be all white, while there will be a strip of black line to connect every sitting and the kitchen. For instance, if table number three is to be served, we click the number three in the app, which renders an obstacle in table 3. The motor barricades the robot, and the ultrasonic sensors sense it, and it stops. If anyone picks the plate, the ultrasonic sensor senses it, the blockage is removed, and the robot paces in the designated path. People visited the place more often to experience such stimuli. Using the robots attracted more customers and made the work very quick.

This paper represents IOT Based Automatic Water Temperature Adjustor. IoT (Internet of Things) refers to the network of physical objects that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. This system is for adjusting water temperature according to the possible surroundings such as home temperature, atmosphere temperature, etc. To solve problems like high water temperature while using, time-consuming waiting for water to heat and cool, high power consumption, and not satisfying water temperature this system offers the feature for automatically adjusting the temperature. Arduino, DHT11 (Temperature-Humidity Sensor), Bread Board, DS18B20 (Water Temperature Sensor), Jumper Wires, Resistor, I2C OLED, Water Heating Coil, Relay and LED are used for operating this system. The application of this system is very vast as it can be implemented in power plants, hospitals, mountain regions, local homes, and lodges. This system is time-saving, cost-efficient, easy to implement, provide automatic features, less power consumption, safety, and many more. Compared to other water geyser systems it has the feature of automatically detecting the environmental temperature and adjusting the temperature of the water accordingly. This system is still in its developing phase.

遙控技術進步快速，無人機由玩具演進入戰場，甚至在科學研究中成為無往不利的利器。本研究旨在探討若將MQ-9大型無人機捨棄匿蹤性，改採鴨式布局是否對其飛行效率及穩定性能達到更好表現。 以自製風洞為主要研究器材，此外也使用電子儀器測量，推導出升力係數及其計算過程。得升力係數與爬升能力呈正相關。 本研究結果如下： 一、 比較採常規布局模型與採鴨式布局模型於不同攻角下的升力係數變化，攻角0 ˚ ~15˚ 時採以常規布局模型有較好升力係數，但與鴨式布局模型差異不大。且採鴨式布局模型較採常規布局有較大的失速攻角（20˚）。 二、 常規布局模型與鴨式布局模型於不同攻角下的阻力係數變化，攻角0 ˚ ~15˚ 時採以常規布局模型有較大阻力係數，但與鴨式布局模型差異不大。 三、 以溫度流探討採鴨式布局模型比較採常規布局模型，其主翼下翼面溫度較低，可得採鴨式布局模型翼面下流速、密度、壓力較採常規布局模型小。 四、 自行設計Python程式統計側風狀態下採兩種布局之MQ-9風洞模型翼梢雷射光點閃爍次數，採常規布局模型擺動頻率較鴨式布局高。 五、 將方格紙上反射光點軌跡進行影片格放分析，並進行FFT模式分析，探討機翼運動模式。推測常規布局模型較多為「擺動」；「振動」則較少發生。鴨式布局模型較多為「振動」；「擺動」則較少發生。 六、 對放大機翼面積進行氣流分析，常規機翼模型攻角0 ˚ 時觀測到機翼有邊界層現象，15 ˚時觀測到層流分離現象，製造機翼表面壓力差並提供升力；鴨式機翼模型攻角15 ˚、20 ˚觀測到渦流現象，有助減輕主翼受力負擔並提供額外升力。 將大型無人定翼機結合鴨式布局，飛行時有更好的效率提升，以其高爬升比及穩定度高的特性，能在相同油耗下有更長遠的航程，也符合綠色科學發展與環保理念。

本研究以家用微波爐及自製集熱盒燒製高溫陶瓷，用於家用微波爐的集熱盒材料的材質以玻璃纖維為主體為佳，集熱材料使用碳化矽顆粒級配重量比為1:3(320目碳化矽:180目碳化矽) 有最佳的微波吸熱效率並半浸泡的方式沾黏3.02mm (10層)最好；集熱盒玻璃纖維與集熱材料碳化矽之間的高溫黏著劑，以體積比3:7(矽酸鈉:水)為最佳配比。以家用微波爐搭配自製集熱盒可於26.5分鐘便可燒結陶瓷上釉作品，與傳統電窯需480分鐘比較可大幅減少94.48%的燒製時間，且其耗費的能源可省去89.44%的電費，以家用微波爐及自製集熱盒燒製之陶瓷品與傳統電窯燒製之陶瓷品在洛式硬度儀上測試結果無明顯差異，是未來極具發展性的陶瓷燒成技術。

Technology is erratic. We never know what could be the next big thing. Nowadays, IoT (the internet of things) has taken over the market. Every technology created nowadays is somehow related to IoT. You should manage to connect the IoT technology with a robust area of hospitality. Catering customers' needs during peak hours at any restaurant or cafe could get overwhelmed with hectic tasks such as taking orders, fetching water, and ordering meals. We created a raw model to accommodate the limitations of the human mind. The technology-based IoT (Internet of things) can come in handy during hectic sessions. A Robot waiter is built from scratch using materials like Arduino (2), Gear DC motor (2), L298N motor driver (1), Ultrasonic sensor (2), IR sensor (2), Servo motor (4) HC-05 Bluetooth module. Desired orders are sent on a wireless network through the menu bar to the kitchen. Then, the robots transfer the food from the kitchen to the customers. The floor will be all white, while there will be a strip of black line to connect every sitting and the kitchen. For instance, if table number three is to be served, we click the number three in the app, which renders an obstacle in table 3. The motor barricades the robot, and the ultrasonic sensors sense it, and it stops. If anyone picks the plate, the ultrasonic sensor senses it, the blockage is removed, and the robot paces in the designated path. People visited the place more often to experience such stimuli. Using the robots attracted more customers and made the work very quick.

「無扇葉風力發電」是一種新型的能量擷取研究，透過渦流引起的震動將風能轉換成電能。傳統渦輪式風力發電利用風推動扇葉旋轉發電，受限於風向、成本、噪音及體積等問題無法在內陸得到普遍。先前已有外國公司發表初步的機構設計與發想概念，但目前仍只能針對單一風向進行發電。本研究提出新型機構設計，有效的運用了多方向風源，降低了風能的浪費。為了瞭解渦激振動與各項變因之間的關係，我們設計了多項實驗，藉由影像分析軟體Tracker，得出不同風速下桅杆晃動振幅與頻率之關係，並利用實驗分析採集器LabQuest 2，精確的得出單位時間內的平均流速與電壓變化，獲得流速與電壓頻率特性。 根據實驗結果，隨著風速的增長，電機產生的峰值電壓會有2次方的增長，且桅杆晃動頻率與風速和支點位置並無直接關係。

This paper represents IOT Based Automatic Water Temperature Adjustor. IoT (Internet of Things) refers to the network of physical objects that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. This system is for adjusting water temperature according to the possible surroundings such as home temperature, atmosphere temperature, etc. To solve problems like high water temperature while using, time-consuming waiting for water to heat and cool, high power consumption, and not satisfying water temperature this system offers the feature for automatically adjusting the temperature. Arduino, DHT11 (Temperature-Humidity Sensor), Bread Board, DS18B20 (Water Temperature Sensor), Jumper Wires, Resistor, I2C OLED, Water Heating Coil, Relay and LED are used for operating this system. The application of this system is very vast as it can be implemented in power plants, hospitals, mountain regions, local homes, and lodges. This system is time-saving, cost-efficient, easy to implement, provide automatic features, less power consumption, safety, and many more. Compared to other water geyser systems it has the feature of automatically detecting the environmental temperature and adjusting the temperature of the water accordingly. This system is still in its developing phase.