0% Complete
صفحه اصلی
/
The 4th International Conference on Electrical Machines and Drives
Effect of Global Vacuum Pressure Impregnation Parameters on Quality of Impregnated Stators
نویسندگان :
Fatemeh Ramezani
1
Ali Alaeddini
2
Mahdi Khademnahvi
3
Mansour Torabi
4
1- R&D Department, MAPNA Generator Engineering and Manufacturing Co. (PARS) Karaj, Iran
2- R&D Department, MAPNA Generator Engineering and Manufacturing Co. (PARS) Karaj, Iran
3- R&D Department, MAPNA Generator Engineering and Manufacturing Co. (PARS) Karaj, Iran
4- R&D Department, MAPNA Generator Engineering and Manufacturing Co. (PARS) Karaj, Iran
کلمات کلیدی :
Electrical machine،Global vacuum pressure impregnation،Impregnation resin
چکیده :
The quality of impregnation of a stator has a critical effect on the lifetime of an electrical machine. In this article, we studied the impact of global vacuum pressure impregnation (GVPI) process parameters on the quality of impregnated stator with a resin of thermal insulation class C. In this regard, the possibility of controlling the thickness of a moisture and contamination protective resin layer with no air bubbles on the inner surface of the stator was investigated. The results indicated that the preheating temperature of the stator, the rate of reaching the onset temperature of curing and the GVPI pressure can control the quality of the impregnated stator and resin layer thickness. Moreover, it was concluded that GVPI pressure has the most significant effect on the average resin layer thickness.
لیست مقالات
لیست مقالات بایگانی شده
Asynchronous Motor Drive Using an Inverter with Adjustable DC-Link Voltage
Mohammad Farhadi-Kangarlu - Behrouz Tousi - Yousef Neyshabouri
بررسی یک ساختار میکرو نیروگاه آبی مستقل از شبکه برای کاربردهای توان پایین
علی عباسی نیا - روح الله فدائی نژاد
Analysis of a Synthesized Slot Permanent Magnet Flux Reversal Motor
Mohammad Reza Sarshar - Mohammad Amin Jalali Kondelaji - Mojtaba Mirsalim
Introducing New Three Phase Fractional Slot Windings With Low Space Harmonic Contents
Seyed Mahdiar Taghavi Araghi - Arash Kiyoumarsi - Behzad Mirzaeian Dehkordi
Robust sate feedback control of DC-DC boost converter using Legendre polynomials
Soroush Sarmad - Saeed Khorashadizadeh
A transfer learning based CNN for dynamic security assessment with small datasets and unknown data
ساسان آزاد - Nazanin Pourmoradi - Mohammad Taghi Ameli
Optimal Adaptive Robust Pitch Controller Specifically Designed for The National Renewable Energy Laboratory Wind Turbine Mode
Pedram Pakravan
Dynamic Energy Management for EV-Integrated Grids Using Reinforcement Learning
Mahnaz Izadi - Behnam Zaker - Saeed Izadi
Stator structural analysis of an in-wheel permanent magnet electric motor for sports utility vehicle (SUV) via multi-physics procedure
Saeed Rostami - Mohsen Nikfar
Advancements in Electric Vehicle Charging Optimization: A Survey of Reinforcement Learning Approaches
Mehrshad Shokati - Parisa Mohammadi - Atoosa Amirinian
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.5.3