Modèle mathématique pour les pertes mécaniques et les expériences de validation.
Mathematical model for the mechanical losses and validation experiments.
Numéro : 1260
Auteurs : ORAL A., LAZOGLU I., KERPICCI H., TÜYSÜZ S.
Résumé
Energy consumption is one of the hot topics nowadays in almost every industry. Reciprocating compressors that are installed in household refrigerators contain various energy consumption sources. Along with the thermodynamics and electronic component-based losses, there are also mechanical losses due to frictional forces in reciprocating compressors. These frictional forces emerge on the piston-cylinder translational bearing, journal bearings and thrust bearing. In this study, a mathematical torque prediction model is established for the steady-state operation where piston-cylinder contact model is developed by following the work of Greenwood and Tripp, which considers contact mechanics. In contrast, journal bearing frictions are estimated based on Newton’s viscosity principle and thrust bearing torques are predicted by simply calculating the torque generated on the surface by crankshaft due to its mass. In addition, a mechanical loss measurement setup has been established where the compressor is driven externally with the help of an eccentric rod that is mounted on the top of the crankshaft. Experimental torque measurements have been made according to the torsional behavior of the rod that acts as a bridge between the external motor and the crankshaft. The theoretically predicted torque and loss values have been validated with experimental data. A comparison between the previous and new mechanical loss measurement setup has also been made and repeatability, as well as reliability of the new measurement method, was observed.
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Pages : 9 p.
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Détails
- Titre original : Mathematical model for the mechanical losses and validation experiments.
- Identifiant de la fiche : 30030293
- Langues : Anglais
- Sujet : Technologie
- Source : 2022 Purdue Conferences. 26th International Compressor Engineering Conference at Purdue.
- Date d'édition : 15/07/2022
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