Measuring Copper Surface Roughness for High Speed Applications



Measuring Copper Surface Roughness for High Speed Applications
This paper examines the use of light interferometry and the relevant parameters used to measure copper surface roughness before and after oxide alternative.
Analysis Lab

DOWNLOAD

Authored By:


John A. Marshall
MacDermid Inc.
Waterbury CT, USA

Summary


This paper examines the use of Light Interferometry and the relevant parameters used to measure copper surface roughness before and after oxide alternative. Also discussed are the limitations and drawbacks of some of the traditional measurement parameters as they apply to copper surface roughness for conductor loss and signal integrity characterization and process control.

Conclusions


We have found that using Light Interferometry Surface Roughness Measurement provides Ra, RSAR and Rz measurements for controlling inner layer copper roughness before lamination to assure in range condition of pre-established conductor losses. RSAR is the most useful for providing accurate data of the smaller (micro roughness) features imparted by the oxide alternative process or other chemical roughening processes and Ra measurements provide accurate data of the larger (macro roughness) features.

Rz measurement only shows the maximum surface roughness and can be somewhat misleading, having sensitivity to any scratches or surface defects. However Rz is helpful in assessing overall non-uniformity by the relationship with Ra. Additionally, Rz can be measured by cross-section of the inner layer side of the foil to provide an "As received" record of the previously laminated foil side.

We have seen the correct preparation (grinding and polishing) of cross-sections to be critical in obtaining reasonably accurate Rz numbers of the macro-roughness. Determination of the gain in surface roughness through Oxide Alternative process, before lamination, can provide process control data through the process. Additionally, the program provides Standard Deviation and Coefficient of Variation % data for SPC.

Analyzing the raw measurement data with no reduction in micro roughness from high frequency filtering and minimal low filtering, provides accurate, optimized measurements of the copper surface. RSAR and Ra together provide an accurate measured representation of the micro roughened copper surface following Oxide Alternative Process and are suitable for process control.

Initially Published in the IPC Proceedings

Comments

No comments have been submitted to date.

Submit A Comment


Comments are reviewed prior to posting. You must include your full name to have your comments posted. We will not post your email address.

Your Name


Your Company
Your E-mail


Your Country
Your Comments