Radial stress distribution and friction forces in a soft-packed stuffing-box seal

Ochoński, W.

doi:10.1016/0301-679x(88)90125-9

Cited by 19 publications

(5 citation statements)

References 1 publication

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“…To describe the material behavior, most authors used an analytical model [3,10] or the Cam-Clay model [6,7]. They have developed experimental tests to identify the material parameters involved in their behavior models.…”

Section: Methodsmentioning

confidence: 99%

“…In industry, the stuffing-box design including the number of packing rings ands the associated relevant initial tightening force are often based on a purely empirical foundation. Part of the researches conducted on packed stuffing-boxes focuses on an analytical approach of the distribution of the packing contact stress, with the assumption of an elastic and isotropic behavior, using an analytical model [1,[3][4][5]. With the development of numerical tools, others researchers have investigated a coupled experimental and numerical approach.…”

Section: Nomenclaturementioning

confidence: 99%

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Experimental and Numerical Investigations on Exfoliated Graphite Seals

Viéville

Laurent

Rio

et al. 2017

Volume 3B: Design and Analysis

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In order to improve the sealing performances of porous braided packing rings, an experimental study is currently performed on a dedicated device. This device has been specially designed to measure the stresses during cyclic loading tests with compressed exfoliated graphite valve packing. Indeed, different tests which reproduce the opening and closing cycles of the valves have been performed to enhance the understanding of the response of the packing mechanical behavior. To this respect, an Hyperelasto-Hysteretic model is now being developed to reproduce the mechanical behavior of the compressed exfoliated graphite. The material parameters of this model are then identified to describe the stress-strain response of the studied packed stuffing-box under these cyclic loading tests.

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Section: Methodsmentioning

confidence: 99%

Section: Nomenclaturementioning

confidence: 99%

Experimental and Numerical Investigations on Exfoliated Graphite Seals

Viéville

Laurent

Rio

et al. 2017

Volume 3B: Design and Analysis

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“…Deviations in sealing conditions can result in slurry leakage around the pump, leading to issues such as corrosion and premature bearing failure [7]. Therefore, the seal water pressure must be higher than the pressure on the shaft side to ensure sufficient flow to flush sediment to a safe area [8,9]. However, the operational environment for dredgers is inherently intricate and influenced by many factors [10].…”

Section: Introductionmentioning

confidence: 99%

Replacement of Fault Sensor of Cutter Suction Dredger Mud Pump Based on MCNN Transformer

Long,

Fan,

Gao

et al. 2024

Applied Sciences

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The mud pump water sealing system (MPWSS) is important in the efficient operation and prolonged service life of the cutter suction dredger’s (CSD) mud pump. Considering that the underwater pump operates underwater and the shaft seal water pressure sensor is prone to failure, a hybrid deep learning model MCNN transformer is proposed to predict the underwater pump shaft seal water pressure in the event of sensor failure. This paper uses big data from the dredging project to deeply excavate the relationship between the shaft end sealing water pressure and other construction data by combining experience and artificial intelligence, and then uses multi-scale convolutional neural network (MCNN) to reconstruct the data, highlighting the time series characteristics of the multi-scale data were then input into the transformer model for prediction, and compared with a single MCNN, transformer model and four other neural networks. Finally, the cutter suction dredger “Hua An Long” was selected as an application research case; experimental comparisons were conducted on seven different models to verify the accuracy and applicability of the MCNN-transformer model.

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“…There are other more accurate methods that are based on porous structures, difficult to obtain for gaskets and packing seals under different operating conditions. Changes in the size and shape of the porous structure under load and temperature are difficult to measure in a test rig [26][27][28][29]. In addition, the prediction of leakage requires the operating conditions, flow regime and fluid properties to be known.…”

Section: Introductionmentioning

confidence: 99%

A Study on Liquid Leak Rates in Packing Seals

Bouzid

2021

Applied Sciences

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The accurate prediction of liquid leak rates in packing seals is an important step in the design of stuffing boxes, in order to comply with environmental protection laws and health and safety regulations regarding the release of toxic substances or fugitive emissions, such as those implemented by the Environmental Protection Agency (EPA) and the Technische Anleitung zur Reinhaltung der Luft (TA Luft). Most recent studies conducted on seals have concentrated on the prediction of gas flow, with little to no effort put toward predicting liquid flow. As a result, there is a need to simulate liquid flow through sealing materials in order to predict leakage into the outer boundary. Modelling of liquid flow through porous packing materials was addressed in this work. Characterization of their porous structure was determined to be a key parameter in the prediction of liquid flow through packing materials; the relationship between gland stress and leak rate was also acknowledged. The proposed methodology started by conducting experimental leak measurements with helium gas to characterize the number and size of capillaries. Liquid leak tests with water and kerosene were then conducted in order to validate the predictions. This study showed that liquid leak rates in packed stuffing boxes could be predicted with reasonable accuracy for low gland stresses. It was found that internal pressure and compression stress had an effect on leakage, as did the thickness change and the type of fluid. The measured leak rates were in the range of 0.062 to 5.7 mg/s for gases and 0.0013 and 5.5 mg/s for liquids.

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Radial stress distribution and friction forces in a soft-packed stuffing-box seal

Cited by 19 publications

References 1 publication

Experimental and Numerical Investigations on Exfoliated Graphite Seals

Experimental and Numerical Investigations on Exfoliated Graphite Seals

Replacement of Fault Sensor of Cutter Suction Dredger Mud Pump Based on MCNN Transformer

A Study on Liquid Leak Rates in Packing Seals

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