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Record W4285398466 · doi:10.1149/ma2022-0116990mtgabs

Investigation of Corrosion in Bolted Flanged Joints Using a Novel Experimental Setup

2022· article· en· W4285398466 on OpenAlexaff
Soroosh Hakimian, Lucas A. Hof, Hakim Bouzid

Bibliographic record

VenueECS Meeting Abstracts · 2022
Typearticle
Languageen
FieldEngineering
TopicEngineering Structural Analysis Methods
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsGasketFlangeCorrosionPipingBolted jointLeakage (economics)Pressure vesselMaterials scienceCrevice corrosionStructural engineeringGalvanic cellComposite materialEngineeringMetallurgyMechanical engineeringFinite element method

Abstract

fetched live from OpenAlex

The second most common cause of hydrocarbon leakage is corrosion in offshore platforms. In seawater and hydrocarbon services, bolted flange joints can be susceptible to corrosion on the flange face. Flanges connect pipes, valves, pumps, and other equipment to form a piping system. In flanged joints, two flanges are bolted together with a gasket between them to provide a seal. The current research considers corrosion in bolted flanged gasketed joints and proposes a new approach to quantify corrosion at the gasket and flange interface. According to the literature, both crevice corrosion and galvanic corrosion widely occur in bolted flanged gasketed connections, which create paths to leakage of the pressurized fluid. Leakage failure in bolted flanged gasketed joints can cause hazards to the environment and human safety. Corrosion in bolted gasketed joints was investigated in other papers and reports. Still, these studies did not consider the influence of the operating conditions. Fluid flow, pressure, pH, conductivity, temperature, and gasket contact pressure are some parameters to consider. To achieve this goal, a novel experimental setup - mimicking an industry-standard NPS 2 bolted flange connection - is introduced to examine the corrosion behavior of the contact surface between the flange and gasket. The setup enables monitoring and recording of the corrosion parameters under the influence of service conditions (gasket contact pressure, pH, salinity, temperature, fluid flow, and fluid pressure) during the corrosion tests. In a second step, the influence of the service conditions on corrosion will be studied. Two levels of temperature (25 o C and 85 o C), gasket contact pressure (4 MPa and 35 MPa), and flow rate (1.4 cm. s-1 and 4.5 cm. s-1) are considered in the study. The flange material selected in this study is stainless steel 304/304L since it has a wide application in the industry. Flexible graphite materials, commonly used due to their chemical resistance, high-temperature capability, low cost, and good sealing properties, are used in the corrosion tests. Two direct current electrochemical test techniques, polarization resistance (Rp) and potentiodynamic anodic polarization, are carried out, according to ASTM G5, to measure the corrosion rate in addition to other quantification methods based on visual observations and mass loss. These tests are conducted using the novel designed setup that consists of a working electrode (flange material), a reference electrode (Ag/AgCl), and an auxiliary electrode (a stainless-steel rod). The synthetic seawater solution recommended in ASTM D1141 is used for the corrosion tests. In a final step, the corroded surfaces of the specimens are examined via some of the following available techniques; confocal laser microscopy, scanning electron microscopy (SEM), energy-dispersive X-ray microscopy (EDS/EDX), and X-ray powder diffraction (XRD) techniques. Confocal microscopy is used to visualize the morphology of the damaged zones on the surface, and localize and quantify the crevices volume caused by corrosion, respectively. SEM and XRD analysis can reveal the scale morphology and phases present on the corroded plate surfaces. Comparing the results of the electrochemical tests and the microscopic studies will identify the influence of operating factors on the corrosion at the gasket-flange interface. Preliminary tests were performed to check the applicability of the novel setup for studying corrosion behaviour between gaskets and flanges and solve initial setup problems to get reproducible results. In the current research, the corrosion behaviour is studied under dynamic conditions. The majority of other works consider only the static condition, so it is important to run some preliminary tests to shakedown the rig and fixture and resolve unanticipated issues. First attempts failed due to noisy polarization curves that could not be used for corrosion analysis. After several experiments on small samples, it was decided to use filter paper immersed in a 3.5% NaCl solution as a salt bridge to reduce the distance between the reference and working electrodes in the setup. This resulted in smooth polarization curves useful for further corrosion analysis (Fig. 1). The novel designed bolted flange joint setup allows corrosion monitoring and characterization under dynamic operating conditions for the first time. Figure 1

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.264
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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