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Modeling and thermodynamic cycle analysis of condensation-induced depressurization
- Source :
- Vacuum. 164:77-87
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- A condensation-induced depressurization and steam purging technology has been recently developed to drive a continuous gas flow at a sub-atmospheric pressure. The technology is based on a continuous regeneration of depressurization by a system of two or multiple alternatively-operated chambers with steam condensation and refilling. Comparing with traditional methods, this new vacuum generation technology has a great potential of high energy conversion and utilization for an open-flow system. A complete operation cycle of each chamber undergoes three stages in sequence: vacuum generation by condensing pre-refilled steam, vacuuming gas from application system, and purging gas out of chamber while refilling steam. This paper presents a mechanistic model of process characteristics and parametric analysis for the thermodynamic cyclic operations. Each process stage has been separately modelled, and the complete cycle characteristics are then integrated by connecting these stages in series. The mechanistic model provides a parametric analysis capability for the optimized operation of the developed technology to vacuum driving continuous gas flows at sub-atmospheric pressures. The model result is compared with experiment data with good match. The parametric study of the steam purging process indicates that increasing the steam flowrate and pre-heating of chamber can effectively reduce the purging time required by 20–40%.
- Subjects :
- 010302 applied physics
business.industry
Flow (psychology)
Condensation
food and beverages
02 engineering and technology
021001 nanoscience & nanotechnology
Condensed Matter Physics
01 natural sciences
Surfaces, Coatings and Films
Volumetric flow rate
Cabin pressurization
Scientific method
Thermodynamic cycle
0103 physical sciences
Parametric model
Environmental science
0210 nano-technology
Process engineering
business
Instrumentation
Parametric statistics
Subjects
Details
- ISSN :
- 0042207X
- Volume :
- 164
- Database :
- OpenAIRE
- Journal :
- Vacuum
- Accession number :
- edsair.doi...........380137a7c82fc23cfaa1dba86498d817