An effective surface roughness extraction method using Particle Swarm Optimization (PSO) algorithm and 2-D based equations for high speed systems

This paper proposes and validates the effective-roughness extraction method using a modified equation-based S-parameter and a particle swarm optimization (PSO) algorithm. In order to minimize the equation-based S-parameter error, Finite Element Method (FEM) analysis is used and Djordjevic-Sarkar die...

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Bibliographic Details
Published in2024 IEEE 74th Electronic Components and Technology Conference (ECTC) pp. 1777 - 1783
Main Authors Lee, Youngjae, Kim, Kwangho, Cho, Chulhee, Yoon, Sungjin, Lee, Hyeongi, Hwang, Wonji, Choi, Wooshin, Cho, Young-Chul, Choi, Jung-Hwan, Sohn, Young-Soo
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.05.2024
Subjects
Broadband communication
Cannonball-Huray
Copper roughness
Djordjevic-Sarkar
Finite element analysis
Frequency conversion
Insertion loss
Mathematical models
Particle measurements
Particle Swarm Optimization(PSO)
PCIe Gen5
PCIe Gen6
Scattering parameters
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Summary:This paper proposes and validates the effective-roughness extraction method using a modified equation-based S-parameter and a particle swarm optimization (PSO) algorithm. In order to minimize the equation-based S-parameter error, Finite Element Method (FEM) analysis is used and Djordjevic-Sarkar dielectric model is applied to broadband frequencies. Additionally, the consistency of the S-parameters is improved by applying the Cannonball-Huray roughness model as same as the 3D-EM simulation for the resistance model. The effective-roughness with similar conditions to the measurement S-parameter was extracted using the configured equation and PSO algorithm, applied to the test coupon manufactured under the same conditions, and the measurement results were compared.
ISSN:2377-5726
DOI:10.1109/ECTC51529.2024.00296