Massachusetts Institute of Technology
Characterizing dielectric materials with a feedback-based model
Abstract
dc:description.abstractAs signal frequencies continue to increase, conductor surface roughness losses of interconnects are becoming more prominent. There is currently no industry standard for separating the dielectric and conductor losses that appear in PCBs. As part of the thesis work, test vehicles composed of six different dielectric materials were fabricated with different trace widths, copper foil profiles, and oxide surface treatments. A Feedback-Based Model was used to simulate and extract the dielectric and conductor losses from measurements made with the different test vehicles. Simulation software such as MATLAB, Agilent ADS, and Polar Si9000 were utilized. Dielectric material Megtron 4 had the lowest Df of the materials of interest. The Feedback Based Model was able to fit the data well for either low frequencies and high frequencies, but not both. Further, the model was able to model the effects of changes in copper roughness well. Small variations were seen in the extracted Df associated with changes in width of the measurement traces.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Rybak, Michelle (Michelle A.)
- Advisor dc:contributor.advisor
-
- Scott Westbrook and Luca Daniel.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/91866
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/91866