Title :
Semi-automatic copper foil surface roughness detection from PCB microsection images
Author :
De, Soumya ; Gafarov, Aleksandr ; Koledintseva, Marina Y. ; Stanley, R. Joe ; Drewniak, James L. ; Hinaga, Scott
Author_Institution :
Center for Electromagn. Compatibility, Missouri Univ. of Sci. & Technol. (MS&T), Rolla, MO, USA
Abstract :
Characterization of surface roughness of printed circuit board (PCB) conductors is an important task as a part of signal-integrity analysis on high-speed multi-GHz designs. However, there are no methods to adequately quantify roughness of a signal trace or a power/reference plane layer within finished PCBs. Foil roughness characterization techniques currently available can only be applied to the base foil, prior to its incorporation into a finished board. In a finished PCB, a foil surface is not directly accessible, as it is embedded in the dielectric of the board, and attempting to expose the surface will damage the board and the surface of interest. In this paper, a method of surface roughness quantification from microsectioned samples of PCBs is presented. A small, non-functional area, e.g., a corner of the PCB, can be removed, and the surface roughness of the circuit layers can be assessed without impairing the function of the PCB. In the proposed method, a conductor (a trace or a plane) in the microsectioned sample is first digitally photographed at high magnification. The digital photo obtained is then used as an input to a signal- and image-processing algorithm within a graphical user interface. The GUI-based tool automatically computes and returns the surface roughness values of the layer photographed. The tool enables the user to examine the surface textures of the two sides of the conductor independently. In the case of a trace, the composite value of roughness, based on the entire perimeter of the trace cross-section, can be calculated.
Keywords :
circuit analysis computing; graphical user interfaces; image processing; printed circuit design; surface roughness; surface texture; Cu; GUI-based tool; PCB microsection images; foil roughness characterization techniques; graphical user interface; high-speed multigigahertz designs; image-processing algorithm; printed circuit board conductor; reference plane layer; semiautomatic copper foil surface roughness detection; signal processing algorithm; signal-integrity analysis; surface roughness quantification; surface textures; Conductors; Copper; Dielectric losses; Rough surfaces; Surface roughness;
Conference_Titel :
Electromagnetic Compatibility (EMC), 2012 IEEE International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4673-2061-0
DOI :
10.1109/ISEMC.2012.6351796