Application of Statistical Clustering to Screen Printing Process Control

[+] Author and Article Information
V. A. Skormin, C. R. Herman

Watson School of Engineering, Binghamton University, Binghamton NY 13902

L. J. Popyack

Rome Laboratory, Griffiss AFB, NY 13441

J. Electron. Packag 117(3), 235-240 (Sep 01, 1995) (6 pages) doi:10.1115/1.2792098 History: Received May 01, 1993; Revised June 05, 1995; Online November 06, 2007


Statistical clustering is applied for mathematical description of a surface mount assembly process. The clustering model, intended for process control applications, defines the correspondence between various outcomes of the process and particular regions in the space of process variables. An adaptive version of the clustering model is presented. Prediction, regime selection and control procedures, utilizing the clustering model, are formulated.

Copyright © 1995 by The American Society of Mechanical Engineers
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