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Picture for Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction
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Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction

Product Number: 51320-14646-SG
Author: Robert Adey, Andres Peratta, John Baynham, Thomas Curtin
Publication Date: 2020
$20.00

Although computational methods have been separately developed to predict corrosion and fatigue crack growth rates for metallic structures, challenges remain in implementing a methodology that considers the combined effects. In this work the output from a galvanic model is used to determine the spatial distribution of corrosion damage; providing a guide for the location of discrete corrosion damage features that can be analyzed using stress fields from structural models. In order to build confidence in this approach the galvanic models are validated by comparing predicted results to surface damage measurements from test specimens subject to ambient atmospheric exposure. There was good comparison between the predicted spatial distribution of corrosion damage and the measured surface damage profiles obtained from the galvanic test specimens. Following this exercise novel computational corrosion damage features were developed to represent simplified cracks shapes emanating from corrosion pits. Stress intensity factors (SIF) for these newly developed hybrid pit-crack features were determined and these solutions compared to cases where the pit is assumed to be an equivalent crack.  The impact of the local, cavity induced stress field, on the SIF solutions is discussed. Building on these findings a fatigue crack growth simulation was performed using an initial flaw emanating from a hemispherical cavity (corrosion pit) located at the edge of hole in a plate. A reasonable comparison, of the predicted number of crack growth cycles, to available experimental test results was achieved.

Picture for Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction
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Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction

Product Number: 51321-16509-SG
Author: Robert Adey/ Andres Peratta/ John Baynham/ Thomas Curtin
Publication Date: 2021
$20.00
Picture for Using Failure Analysis to Optimize Corrosion Mitigation Costs
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Using Failure Analysis to Optimize Corrosion Mitigation Costs

Product Number: 51321-16208-SG
Author: Richard B. Eckert/Christopher Kagarise/Susmitha Purnima Kotu/ Kathy Buckingham/Torben Lund Skovhus
Publication Date: 2021
$20.00
Picture for Using Robotic Inspection for Flare System to Avoid Plant Shutdown
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Using Robotic Inspection for Flare System to Avoid Plant Shutdown

Product Number: MPWT19-14300
Author: Amro Hassanein
Publication Date: 2019
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From day to day, Robots advance from testing in labs to operating in the outside world. The
industrial application of Robotic technologies continually increases, providing unique solutions for
different challenges. Flare System is an important and critical equipment required for continuous
safe operations for any petrochemical plant addressing proper burning of excess hydrocarbon
gases, unusable gases which cannot be recovered or recycled, and gas flaring protects against
the dangers of over-pressure. This paper discusses the different types of robotic inspection,
advantages, and limitations based on actual site demonstrations. As an innovative case, here to
introduce actual business case for close aerial inspection and surveying technique to avoid
polyethylene plant shutdown and providing a reliable inspection technique for on-stream integrity
evaluation for the flare tip. Drones, formally known as unmanned aerial vehicles (UAVs), are a
flying robot that can be remotely controlled, and offer an innovative inspection method launched
between 2006-2008 for Engineering professional aerial inspection and surveying using Remotely
Operated Aerial Vehicles (ROAVs). The visual inspection detection accuracy of (ROAV) offer
higher than the normal visual inspection and easily approach all the flare structure from four
directions. Drone inspection cost is competitive considering the cost of maintenance to dismantle
the flare tip. Drone inspection can be used to assess the elevated flare parts for any seriously
damage in order to define a clear maintenance scope ahead of shutdown.

Picture for Using Simulation to Understand the Difference Between Corrosion in Atmospheric Environments and Chamber Tests
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Using Simulation to Understand the Difference Between Corrosion in Atmospheric Environments and Chamber Tests

Product Number: 51319-13242-SG
Author: Alan Rose
Publication Date: 2019
$20.00

Corrosion in the field manifests over a large timescale so when considering material choices in the design of aerospace systems and subsystems use is often made of accelerated tests such as ASTM B117 salt spray chamber test to rank the possible materials. Even these ‘accelerated’ tests take more than 1000 hours and despite their widespread use are often criticized as a design trade tool since the test environments are considerably different to the expected field environment running the risk of either hiding true corrosion processes or simply being unrealistically challenging for the materials under test.The corrosion community has expended substantial effort in trying to make the tests ‘more realistic’ but in doing so there is considerable debate about whether the tools employed to accelerate the corrosion (thermal cycling high salt concentrations UV exposure etc) actually introduce other corrosion processes that are not even present in the eventual targeted field of operation for the device under test.Computational techniques hold a great deal of promise as a way to understand the effects of different service environments but if the simulations cannot even discern between say an ASTM B117 test and an atmospheric exposure then the simulation results would be of questionable value.The processes involved in corrosion are many and complex however one key parameter is the electrolyte film thickness which will clearly be different whether inside a chamber at high humidity with a continuous supply of sprayed saltwater compared to exposure on a beach where diurnal cycles result in a very thin electrolyte of varying salt concentrations except of course when it is raining!To help designers quickly assess corrosion risk and choose appropriate materials Corrdesa have already developed an electrochemical database of modern alloys and coatings. This has been extended by deconvoluting the polarization data to accurately account for the impact of the actual electrolyte thickness on the oxygen reduction reaction.In this paper using fluid shell elements in a free surface flow formulation we actually predict the variable electrolyte film thickness in a CFD (Computational Fluid Dynamics) code for a given environmental condition on different test specimens and geometries. The appropriate polarization data for the local electrolyte thickness is then implemented with User Functions in a potential model framework. In this way the galvanic corrosion is simulated for a test device with a more realistic and variable film thickness.The result is that we can dial different test conditions into the simulation such as whether we wish to simulate chamber results or field results cyclic salt fog cyclic humidity (or both).Keywords: Computational Corrosion Analysis Galvanic corrosion prediction FEA corrosion prediction polarization data potential model fluid shell elements CFD

Picture for Utilization Of Adsorption Kinetics Rate Constants To Better Define Corrosion Inhibitor Availability
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Utilization Of Adsorption Kinetics Rate Constants To Better Define Corrosion Inhibitor Availability

Product Number: 51321-16861-SG
Author: Richard C. Woodlam; Daniel Betancourt
Publication Date: 2021
$20.00