Relaxation Frequency and Relaxation Time Estimation for Phantom Modeling by Proposed Fitting Linear Models

• Main Authors: Chew, Kim Mey, Rubita, Sudirman, Norhudah, Seman, Yong, Ching Yee
• Format: Proceeding
• Language: English
• Published: 2013
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/45895/1/P10.%20Relaxation%20Frequency%20and%20Relaxation%20Time%20Estimation%20for%20Phantom%20Modeling%20by%20Proposed%20Fitting%20Linear%20Models%20%28IEEE%29.pdf; http://ir.unimas.my/id/eprint/45895/; https://ieeexplore.ieee.org/document/6498180

This study aims to investigate the effect of quantity of sugar to the relaxation time needed for a mixture to accomplish steady state. Fitting linear models were proposed for fitting and extrapolating the incomplete permittivity graph due to the lacking of Vector Network Analyzer (VNA) machine unable to operate at frequency higher than 20GHz. The proposed models gave an adequate internal consistency of relaxation time calculation for the four mixtures. Result shows that the quantity of element sugar is the main reason of affecting the permittivity and relaxation time of the mixture. This findings enable contribute to related field researchers due to the effect of sugar that may influence the relaxation time for a mixture model.