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Product Number:
41207-329-SG
Author:
Theodore Hopwood II, Victor Pallotta, Donald E. Evans
Publication Date:
2007
$20.00
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Product Number:
41209-493-SG
Author:
Chris Lovelace
Publication Date:
2009
$20.00
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Product Number:
41216-982-SG
Author:
Charlie Lerman
Publication Date:
2016
$20.00
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Product Number:
51324-21152-SG
Author:
Anil Kumar Chikkam; Aaron Ulmer; Edward Larkin; Mehrooz Zamanzadeh
Publication Date:
2024
$40.00
In the field of metallurgy and corrosion, it is of paramount importance to acknowledge that no failure should ever be underestimated or dismissed as trivial. Each failure carries its own unique narrative and offers invaluable insights into the underlying causes and potential risks. This paper emphasizes the utmost significance of understanding and analyzing metallurgical failures, irrespective of their perceived severity. By meticulously examining every failure as an individual case, substantial lessons can be derived, leading to advancements in designs, materials, and manufacturing processes. Through meticulous investigations and the application of failure analysis techniques, the intricate stories concealed within each failure can be unraveled. These comprehensive analyses provide crucial information for identifying root causes and establishing preventive measures. The paper presents compelling case studies that exemplify the consequences arising from insufficient knowledge on material selection, neglecting stress raisers, mishandling of materials, and the absence of robust inspection plans. These failures range from production losses to fatal incidents, underscoring the criticality of learning from past experiences and implementing proactive measures to avert such occurrences.
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Product Number:
41208-456-SG
Author:
Jeffrey Stewart
Publication Date:
2008
$20.00
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Product Number:
51315-5601-SG
ISBN:
5601 2015 CP
Author:
Sorin Segall
Publication Date:
2015
$20.00
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Product Number:
51217-048-SG
Author:
Kevin Irving
Publication Date:
2017
$20.00
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Product Number:
51219-215-SG
Author:
Don J. Schnell
Publication Date:
2019
$20.00
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Product Number:
51317--9226-SG
ISBN:
9226 2017 CP
Author:
Michael Yee
Publication Date:
2017
$20.00
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Product Number:
51324-20370-SG
Author:
Wenxuan Dong
Publication Date:
2024
$40.00
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Product Number:
51324-20921-SG
Author:
Rebecca Skelton Marshall; Dan Christy; Floyd Steele; Fritz Friedersdorf; Sam Kunselman
Publication Date:
2024
$40.00
Time-based inspection and maintenance intervals are a conventional method of corrosion monitoring on aircraft. However, as corrosion processes do not necessarily occur in scheduled events, these conventional maintenance practices can lead to over- or under-estimation of costly inspections. A shift toward evidence-based and data driven predictive maintenance using a combination of on-asset monitoring devices and component-level models could improve efficiency and reduce total ownership costs. In particular, a “virtual sensor”, i.e., a trained model to predict the corrosion at a given location on the aircraft, can be leveraged to optimize the placement of physical real-time monitoring devices. This digital twin process can be applied to determine the corrosion susceptibility of a single aircraft, or to conduct a fleet-wide analysis. In this work, sensing device measurements deployed at varying locations will be used to demonstrate the applicability of severity tracking, through data-driven machine learning models. In particular, models will be trained on environmental parameters and leveraged to predict current (corrosion rate).
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Product Number:
ED22-17189-SG
Author:
Emma Wong, Andrew Mantey, Fernando Ferrante, Jessica Brock, Andrew Burgess, Barry Thurston
Publication Date:
2022
$20.00
Many utilities around the world are pursuing long-term operation (LTO) of their nuclear power plants beyond the initial licensing period. In the United States, the majority of the renewed licenses have allowed the period of operation to be for up to 60 years and a few renewed licenses of up to 80 years of operation, with comparable efforts worldwide. Aging Management Programs (AMPs) are a key element in long-term operation of nuclear power plant and require effective implementation to ensure long-term safety and reliability of vital systems, structures, and components (SSCs). Typically, aging management implementation strategies have been focused on near-term obligations, and these may not be optimal for accomplishing longer-term reliability and sustainability objectives. Therefore, to optimally manage the potential impacts of aging, risk insights can be leveraged using a consistent and sustainable Framework that would focus on high-value actions while reinvesting knowledge and resources. This would allow the implementation of AMPs to enhance and optimize inspection, repair, and mitigation activities.
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