Performance Enhancement of Vapor Compression Refrigeration System using CuO Nano Particles in CARE 30 Test Rig
Publish place: Iranica Journal of Energy and Environment، Vol: 11، Issue: 4
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 229
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJEE-11-4_007
تاریخ نمایه سازی: 1 اردیبهشت 1400
Abstract:
The refrigeration system excution with the nano oil was explored to enhance the coefficient of performance (COP) of the vapor compression refrigeration system (VCRS) using CARE 30 which is a mixture of 50% refrigerant R200 and 50% refrigerant R600a in which 1 gram of Copper oxide (CuO) nano particles (NP) are used. Nano lubricant was used in the compressor of R-134a refrigeration system (compatible with CARE 30) mixed with polyolester (POE) oil. To execute this examination, a test setup was planned and fabricated in the workshop. The outcome demonstrates that CARE 30 and POE oil with CuO NP works typically and securely in the refrigeration system. The refrigeration system performance found is better than the customary CARE 30 and POE oil only refrigertion system. Therefore, the nano lubricant (POE compressor lubricant mixed with CuO NP) could be used as a vital piece of refrigeration system to lower the energy consumption and for the enhancement of COP of VCRS.
Keywords:
CARE 30 , Copper oxide Nano particles , Hydrocarbon refrigerants , Nano lubricants , Nano refrigerants , Refrigerants R-134a
Authors
M. Kaleemullah
Department of Mechanical Engineering, Nawab Shah Alam Khan College of Engineering and Technology, Hyderabad, Telangana, India
H. Zahir
Department of Mechanical Engineering, Nawab Shah Alam Khan College of Engineering and Technology, Hyderabad, Telangana, India
M. Azizuddin
Mechanical Engineering Department, Deccan College of Engineering and Technology, Hyderabad, Telangana, India
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :