A Physical Surface Roughness Model and Its Applications

This paper covers the essential aspects of modeling surface roughness for microwave applications based on underlying physics. After a short summary of the relevant field theoretical fundamentals, surface roughness metrology and commonly used roughness parameters are described. Existing models and their limitations are discussed before the recently proposed Gradient Model is introduced. To this purpose, the modeling approach, the derivation from Maxwell’s equations, model predictions, and their experimental verification are shown. Reasonable choices for effective material parameters reflecting the electromagnetic effects of surface roughness as well as a corresponding surface impedance concept are derived. Both concepts allow for easy application of the Gradient Model with 3-D field solvers or analytical models. The obtained simulation results illustrate roughness impact on loss and phase delay in typical transmission lines. Comparison to measurement results up to 100 GHz shows that the Gradient Model accurately predicts these quantities for rough conductor surfaces. As it is not limited to transmission lines only, it significantly improves the design process for arbitrary microwave applications with 3-D field solvers for this frequency range.

[1]  H Reichl,et al.  A Methodology for Combined Modeling of Skin, Proximity, Edge, and Surface Roughness Effects , 2010, IEEE Transactions on Microwave Theory and Techniques.

[2]  K. Helmreich,et al.  Surface impedance concept for modeling conductor roughness , 2015, 2015 IEEE MTT-S International Microwave Symposium.

[3]  Ming Yi,et al.  Surface Roughness Modeling of Substrate Integrated Waveguide in D-Band , 2016, IEEE Transactions on Microwave Theory and Techniques.

[4]  Oszkar Biro,et al.  Parameters of lossy cavity resonators calculated by the finite element method , 1996 .

[5]  Xiaoxiong Gu,et al.  Random Rough Surface Effects on Wave Propagation in Interconnects , 2010, IEEE Transactions on Advanced Packaging.

[6]  K. Helmreich,et al.  Measuring Design-DK and true permittivity of PCB materials up to 20GHz , 2015, 2015 German Microwave Conference.

[7]  E. Hammerstad,et al.  Accurate Models for Microstrip Computer-Aided Design , 1980, 1980 IEEE MTT-S International Microwave symposium Digest.

[9]  S.G. Pytel,et al.  Multigigahertz Causal Transmission Line Modeling Methodology Using a 3-D Hemispherical Surface Roughness Approach , 2007, IEEE Transactions on Microwave Theory and Techniques.

[10]  M.V. Lukic,et al.  Modeling of 3-D Surface Roughness Effects With Application to $\mu$-Coaxial Lines , 2007, IEEE Transactions on Microwave Theory and Techniques.

[11]  Veysel Demir,et al.  Microstrip conductor loss models for electromagnetic analysis , 2003 .

[12]  Oliver Huber,et al.  Focus Variation - A New Technology for High Resolution Optical 3D Surface Metrology in the Micro- and Nanometer Range , 2009 .

[13]  M. St. Grundlagen der Elektrotechnik , 1908 .

[14]  Xiaoming Chen,et al.  EM Modeling of Microstrip Conductor Losses Including Surface Roughness Effect , 2007, IEEE Microwave and Wireless Components Letters.

[15]  K. Helmreich,et al.  Modeling of transmission lines with multiple coated conductors , 2016, 2016 46th European Microwave Conference (EuMC).

[16]  Leung Tsang,et al.  Simulation and measurement correlation of random rough surface effects in interconnects , 2012, 2012 IEEE 21st Conference on Electrical Performance of Electronic Packaging and Systems.

[17]  R. Danzl,et al.  Focus Variation – a Robust Technology for High Resolution Optical 3D Surface Metrology , 2011 .

[18]  Randall J. LeVeque,et al.  Finite difference methods for ordinary and partial differential equations - steady-state and time-dependent problems , 2007 .

[19]  H. Braunisch,et al.  Effects of random rough surface on absorption by conductors at microwave frequencies , 2006, IEEE Microwave and Wireless Components Letters.

[20]  K. Helmreich,et al.  A physical model for skin effect in rough surfaces , 2012, 2012 7th European Microwave Integrated Circuit Conference.

[21]  R. Mellitz,et al.  Fundamentals of a 3-D “snowball” model for surface roughness power losses , 2007, 2007 IEEE Workshop on Signal Propagation on Interconnects.

[22]  James C Rautio,et al.  Conductor profile effects on the propagation constant of microstrip transmission lines , 2010, 2010 IEEE MTT-S International Microwave Symposium.

[23]  R. Leighton,et al.  The Feynman Lectures on Physics; Vol. I , 1965 .

[24]  J. Drewniak,et al.  Semi-automatic copper foil surface roughness detection from PCB microsection images , 2012, 2012 IEEE International Symposium on Electromagnetic Compatibility.