The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 08, 2022

Filed:

Nov. 07, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Jennifer Bennett, Rochester, MN (US);

James D. Bielick, Pine Island, MN (US);

David J. Braun, St. Charles, MN (US);

Timothy P. Younger, Rochester, MN (US);

Theron L. Lewis, Rochester, MN (US);

Stephen M. Hugo, Stewartville, MN (US);

John R. Dangler, Rochester, MN (US);

Timothy A. Bartsch, Stewartville, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01B 21/30 (2006.01);
U.S. Cl.
CPC ...
G01B 21/30 (2013.01);
Abstract

A method adjusts a mechanical process on a material in order to improve bonding characteristics of the material. A system collects surface micro-roughness measurements of a material, and places discrete sampling regions on the material. The system analyzes the surface micro-roughness measurements for each of the discrete sampling regions on the material, and identifies a lowest micro-roughness measurement in a discrete sampling region from a plurality of discrete sampling regions on the material. The system compares the lowest micro-roughness measurement to a threshold micro-roughness measurement in order to determine that the lowest micro-roughness measurement is less than the threshold micro-roughness measurement. In response to determining that the lowest micro-roughness measurement is less than the threshold micro-roughness measurement, the system adjusts a mechanical process on the material until micro-roughness measurements for each of the discrete sampling regions are greater than the threshold micro-roughness measurement.


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