Leak prediction through porous compressed packing rings: A comparison study
Creators
- 1. Department of Mechanical Engineering, École de Technologie Supérieure, 1100, rue Notre-Dame Ouest, Montreal, QC, H3C 1K3 (Canada)
Description
The Prediction of leak rate is a significant challenge in the design of bolted flange joints and valves. With the increase of the strict regulations on fugitive emissions appropriate leakage-based standard design procedures are required. Fluid flow through porous media is a very attractive theory that can be used to predict leak rates through gaskets and compression packings. Valves that are the major source of fugitive emissions in the category of pressurized equipment use compression packings and seals the design of which is not covered by a standard design procedure. In this study, three different models; capillary, concentric cylinders, and modified Darcy's models, are used to characterize the sealing behavior of graphite-based compression packing rings. Based on data from several experimental tests, the ability of each model to predict accurate leak rates is evaluated. The comparison between the predicted and the measured leak rates is conducted for different molecular size gasses and a wide range of gland stresses and gas pressures.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.ijpvp.2018.07.012Additional details
Identifiers
- DOI
- 10.1016/j.ijpvp.2018.07.012;
- PII
- S0308016116300084;
Publishing Information
- Journal Title
- International Journal of Pressure Vessels and Piping
- Journal Volume
- 166
- Journal Page Range
- p. 1-8
- ISSN
- 0308-0161
- CODEN
- PRVPAS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 50053081
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- COMPARATIVE EVALUATIONS; CYLINDERS; DESIGN; FLUID FLOW; LEAKS; POROUS MATERIALS; VALVES
- Descriptors DEC
- CONTROL EQUIPMENT; EQUIPMENT; EVALUATION; FLOW REGULATORS; MATERIALS
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.