A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability

Thumbnail image of item number 1 in: 'A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability'.
Thumbnail image of item number 2 in: 'A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability'.
Thumbnail image of item number 3 in: 'A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability'.
Thumbnail image of item number 4 in: 'A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability'.
Showing 1-4 of 33 pages in this report.

PDF Version Also Available for Download.

Description

An analytical capability is being developed that can be used to predict the effect of corrosion on the performance of electrical circuits and systems. The availability of this ''toolset'' will dramatically improve our ability to influence device and circuit design, address and remediate field occurrences, and determine real limits for circuit service life. In pursuit of this objective, we have defined and adopted an iterative, statistical-based, top-down approach that will permit very formidable and real obstacles related to both the development and use of the toolset to be resolved as effectively as possible. An important component of this approach is ... continued below

Physical Description

33 pages

Creation Information

BRAITHWAITE, JEFFREY W.; SORENSEN, NEIL R.; ROBINSON, DAVID G.; CHEN, KEN S. & BOGDAN, CAROLYN W. February 1, 2003.

Context

This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

Who

People and organizations associated with either the creation of this report or its content.

Authors

Sponsor

Publisher

  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

About | Browse this Partner

Contact Us

Corrections Questions

What

Descriptive information to help identify this report. Follow the links below to find similar items on the Digital Library.

Description

An analytical capability is being developed that can be used to predict the effect of corrosion on the performance of electrical circuits and systems. The availability of this ''toolset'' will dramatically improve our ability to influence device and circuit design, address and remediate field occurrences, and determine real limits for circuit service life. In pursuit of this objective, we have defined and adopted an iterative, statistical-based, top-down approach that will permit very formidable and real obstacles related to both the development and use of the toolset to be resolved as effectively as possible. An important component of this approach is the direct incorporation of expert opinion. Some of the complicating factors to be addressed involve the code/model complexity, the existence of large number of possible degradation processes, and an incompatibility between the length scales associated with device dimensions and the corrosion processes. Two of the key aspects of the desired predictive toolset are (1) a direct linkage of an electrical-system performance model with mechanistic-based, deterministic corrosion models, and (2) the explicit incorporation of a computational framework to quantify the effects of non-deterministic parameters (uncertainty). The selected approach and key elements of the toolset are first described in this paper. These descriptions are followed by some examples of how this toolset development process is being implemented.

Physical Description

33 pages

Source

  • Other Information: PBD: 1 Feb 2003

Language

Item Type

Identifier

Unique identifying numbers for this report in the Digital Library or other systems.

  • Report No.: SAND2003-0359
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/809100 | External Link
  • Office of Scientific & Technical Information Report Number: 809100
  • Archival Resource Key: ark:/67531/metadc734028

Collections

This report is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

About | Browse this Collection

What responsibilities do I have when using this report?

Digital Files

When

Dates and time periods associated with this report.

Creation Date

  • February 1, 2003

Added to The UNT Digital Library

  • Oct. 18, 2015, 6:40 p.m.

Description Last Updated

  • April 12, 2016, 6:37 p.m.

Usage Statistics

When was this report last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 6
More Statistics

Interact With This Report

Here are some suggestions for what to do next.

Start Reading

Thumbnail image of item number 1 in: 'A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability'.
Thumbnail image of item number 2 in: 'A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability'.
Thumbnail image of item number 3 in: 'A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability'.
Thumbnail image of item number 4 in: 'A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability'.

PDF Version Also Available for Download.

Citations, Rights, Re-Use

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

BRAITHWAITE, JEFFREY W.; SORENSEN, NEIL R.; ROBINSON, DAVID G.; CHEN, KEN S. & BOGDAN, CAROLYN W. A Modeling Approach for Predicting the Effect of Corrosion on Electrical-Circuit Reliability, report, February 1, 2003; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc734028/: accessed November 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.