Predicting the temperature distribution and suction gas superheating of an oil-free linear compressor
| Autor: | C J Deschamps, M J Oliveira, M C Diniz |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Suction Reciprocating compressor Isentropic process business.industry 020209 energy Mechanical Engineering Mechanical engineering Refrigeration 02 engineering and technology Mechanics Industrial and Manufacturing Engineering Linear compressor Cylinder (engine) law.invention Superheating 020401 chemical engineering law 0202 electrical engineering electronic engineering information engineering 0204 chemical engineering business Gas compressor |
| Zdroj: | Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 231:47-56 |
| ISSN: | 2041-3009 0954-4089 |
| DOI: | 10.1177/0954408916674244 |
| Popis: | It is well established that the volumetric and isentropic efficiencies of reciprocating compressors used for household refrigeration are significantly reduced by suction gas superheating. Moreover, excessive levels of temperature may affect the reliability of some components, such as the electrical motor. This paper reports a modeling approach to predict the temperature distribution in the gas and solid components of an oil-free linear compressor. A simulation model based on the finite volume method was used to solve the heat conduction in the solid components and gas flow inside the compressor. On the other hand, the compression cycle in the cylinder was solved with a transient lumped formulation, but in a coupled manner with the remainder of the solution domain. The prediction of the suction gas superheating obtained with the model was in good agreement with the measurements, despite discrepancies being observed in some solid components and in the gas path along the discharge system. The model does not require any experimental calibration and hence is suitable to analyze different compressor designs. To illustrate this, the model was applied to predict the temperature distribution with respect to two design parameters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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