Published September 2018 | Version v1
Journal article

Leak prediction through porous compressed packing rings: A comparison study

  • 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.2018.07.012

Additional 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.