Hasil Pencarian  ::  Simpan CSV :: Kembali

"ABSTRACTThe importance of power electronics has significantly increased in the last few decades. Many applications such as electric vehicles and renewable energy systems would not be possible without them. Power electronics is based primarily on the switching of power semiconductor devices. One of the most important power semiconductors used is silicon-controlled rectifier or thyristor. Its characteristics allows for control of electric power. However, thyristors operating in DC systems requires an additional circuit to turn off. This circuit is called an extinction circuit. This thesis used the software LTspice to simulate the circuit and analyze the waveforms produced by it and the software EAGLE to design the printed circuit broad. The developed ignition circuit produced a current of 27 mA on the gate of the thyristor which is controlled manually by a push button to turn on the thyristor. During the measurement of the extinction circuit, the supply voltage and load current were varied to see its effects on the circuit turn off time. The measurement results show that an increasing supply voltage cause the circuit turn off time to increase while increasing the load current resulted in a lower circuit turn off time.

---

ABSTRAKPentingnya elektronika daya telah meningkat secara signifikan dalam beberapa dekade terakhir. Banyak aplikasi seperti kendaraan listrik dan sistem energi terbarukan tidak akan mungkin diporduksi tanpanya. Elektronika daya didasarkan pada penggunaan perangkat semikonduktor daya. Salah satu perangkat semikonduktor yang paling penting digunakan adalah Silicon Controlled Rectifier atau thyristor. Karakteristiknya memungkinkan untuk mengontrol tenaga listrik. Namun, thyristor yang beroperasi dalam sistem DC membutuhkan rangkaian tambahan untuk dimatikan. Rangkaian ini disebut extinction circuit. Skripsi ini menggunakan perangkat lunak LTspice untuk mensimulasikan rangkaian dan menganalisis bentuk gelombang yang dihasilkan olehnya dan perangkat lunak EAGLE untuk merancang PCB. Ignition circuit yang dikembangkan menghasilkan arus sebesar 27 mA di gate thyristor yang dikendalikan secara manual dengan menekan tombol untuk menyalakan thyristor. Selama pengukuran extinction circuit, tegangan suplai dan arus beban divariasikan untuk melihat efeknya pada circuit turn off time. Hasil pengukuran menunjukkan bahwa peningkatan tegangan suplai menyebabkan circuit turn off time untuk meningkat sedangkan meningkatkan arus beban mengakibatkan circuit turn off time yang lebih rendah."

"Kendaraan mobil penumpang sebagai transportasi telah banyak beredar karena harga yang begitu kompetitif. Harga kompetitif dibuat dengan mengefisiensikan biaya proses produksi, proses painting salah satunya. Pada proses painting memakan biaya paling besar yaitu proses electrodeposition (ED). Biaya yang besar diakibatkan karena ketebalan cat ED tidak merata dan jauh melebihi standar. Perlunya mendesain sistem proses ED untuk menjaga ketebalan cat tetap standar dengan mengatur tegangan rectifier menggunakan metode deep neural network (DNN). Input berupa kecepatan pendulum carier bodi unit, mengatur beberapa parameter material seperti additive, solvent, pigment, resin, neutralizer selanjutnya data parameter diproses dengan DNN untuk memberikan input rerspon dengan berbagai keadaan yang telah diatur melalui aktifitas data threshold melalui metode feedforward backpropagation agar pulsa thyristor mampu memberikan sinyal tegangan rectifier sesuai keadaan jenis bodi mobil dan material painting sehingga ketebalan material cat yang di aliri tegangan akan merata pada seluruh permukaan bodi unit dengan ketebalan yang standar. Hasil yang didapatkan dari simulasi sistem ini bahwa ketebalan cat yang lebih optimal sesuai standar 15μm dengan penurunan pemakaian material sebesar 40%. Akurasi tegangan yang dikeluarkan rectifier sebesar 99,9%. Dengan digunakannya sistem DNN pada rectifier untuk proses painting maka dapat memotong biaya proses produksi menjadi lebih murah sebesar maksimal 40%, IRR sebesar 15% untuk investasi Rp. 2.000.000.000,- selama 5 tahun.

---

Passenger cars as transportation have been widely circulated because the prices are so competitive. Competitive prices are made by streamlining the cost of the production process, the painting process is one of them. In the painting process, the highest cost is the electrodeposition (ED) process. The high cost is due to the uneven thickness of the ED paint and it far exceeds the standard. The need to design an ED process system to maintain a standard paint thickness by adjusting the rectifier voltage using the deep neural network (DNN) method. The input is the speed of the pendulum carrier body unit, adjusts several material parameters such as additive, solvent, pigment, resin, neutralizer then the parameter data is processed by DNN to provide response input with various conditions that have been set through threshold data activities through the feedforward backpropagation method so that the thyristor pulses can provide a rectifier voltage signal according to the state of the car body type and painting material so that the thickness of the paint material that is applied to the voltage will be evenly distributed over the entire surface of the unit body with a standard thickness. The results obtained from the simulation of this system are that the paint thickness is more optimal according to the 15 standarm standard with a 40% reduction in material usage. The accuracy of the voltage issued by the rectifier is 99.9%. With the use of the DNN system on the rectifier for the painting process, it can cut the cost of the production process to be cheaper by a maximum of 40%, IRR of 15% for an investment of Rp. 2,000,000,000,- during 5 years."

"This textbook provides an in-depth treatment of the physics of power semiconductor devices that are commonly used by the power electronics industry. Drawing upon decades of industry and teaching experience and using numerous examples and illustrative applications, the author discusses in detail the various device performance attributes that allow practicing engineers to develop energy-efficient products. Coverage includes all types of power rectifiers and transistors and analytical models for explaining the operation of all power semiconductor devices are developed and demonstrated in each section of the book. Throughout the book, emphasis is placed on deriving simple analytical expressions that describe the underlying physics and enable representation of the device electrical characteristics. This treatment is invaluable for teaching a course on power devices because it allows the operating principles and concepts to be conveyed with quantitative analysis. The treatment focuses on silicon devices but includes the unique attributes and design requirements for emerging silicon carbide devices. This new edition also includes a chapter on the impact of power semiconductor devices on energy savings and reduction of carbon emissions."