A theoretical simulation model for optimization of fins on the shell of a hermetic reciprocating compressor
Creators
- 1. Department of Energy and Sustainability, Federal University of Santa Catarina, Ararangua, SC (Brazil)
Description
The cost of a hermetic reciprocating compressor is quite dependent on the electric motor employed to drive it. Usually, the higher the motor efficiency, the higher the costs. Therefore, some compressors are designed to operate with low-efficiency electric motors. The main difficulty in such a case is to ensure that the motor operates at a temperature below the upper threshold. This paper presents a simulation model for optimization of fins on the shell of a hermetic reciprocating compressor which operates with a low-efficiency motor. The objective of the simulation is to obtain a set of fins with minimum volume that allows the compressor to operate under a critical operating condition without overheating the electric motor. The simulation model is implemented by coupling a lumped-parameter thermal simulation model of the reciprocating compressor with an optimization algorithm. The results of the thermal simulation are validated with experimental data. Different fin profiles are considered in the analysis. It is concluded that the optimum heat sink solution is conditioned to the minimum fin thickness or to the minimum fin diameter allowed, which are dependent on other compressor design constraints. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/604/1/012028Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 604
- Journal Issue
- 1
- Journal Page Range
- [10 p.]
- ISSN
- 1757-899X
Conference
- Title
- International Conference on Compressors and their Systems 2019
- Dates
- 9-11 Sep 2019
- Place
- London (United Kingdom)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52114711
- Subject category
- S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; COMPRESSORS; COMPUTERIZED SIMULATION; DESIGN; EFFICIENCY; ELECTRIC MOTORS; HEAT SINKS; OPTIMIZATION
- Descriptors DEC
- ELECTRICAL EQUIPMENT; ENGINES; EQUIPMENT; MATHEMATICAL LOGIC; MOTORS; SIMULATION; SINKS