Prediction of Performance Equations for Household Compressors Depending on Manufacturing Data for Refrigerators and Freezers
Abstract A surface fitting model is developed based on calorimeter data for two famous brands of household compressors. Correlation equations of ten coefficient polynomials were found as a function of refrigerant saturating and evaporating temperatures in range of (-35℃ to -10℃) using Matlab so...
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| Main Authors: | , , |
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| Format: | article |
| Language: | EN |
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Al-Khwarizmi College of Engineering – University of Baghdad
2015
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| Subjects: | |
| Online Access: | https://doaj.org/article/29a62b83aa644b1caf9da8c058924024 |
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| Summary: | Abstract
A surface fitting model is developed based on calorimeter data for two famous brands of household compressors. Correlation equations of ten coefficient polynomials were found as a function of refrigerant saturating and evaporating temperatures in range of (-35℃ to -10℃) using Matlab software for cooling capacity, power consumption, and refrigerant mass flow rate.
Additional correlations equations for these variables as a quick choice selection for a proper compressor use at ASHRAE standard that cover a range of swept volume range (2.24-11.15) cm3.
The result indicated that these surface fitting models are accurate with in ± 15% for 72 compressors model of cooling capacity and 50 models for power consumption and 25 models for refrigerant mass flow rate.
Keywords: Performance, compressors, manufacturing, data, equations.
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