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Combinatorial Adhesion Measurements: Factorial Design Concepts for Data Collection and Library Evaluation

Published

Author(s)

Aaron M. Forster, Christopher Stafford, Alamgir Karim, Eric J. Amis

Abstract

Product discovery in the adhesives industry is often characterized by experimental trial and error combined with empirical knowledge. The NIST developed multi-lens combinatorial adhesion test (MCAT) has the potential to increase the efficiency of this process. A drawback to this technique is the volume of data collected during an experiment. As a solution, we discuss utilizing statistical analysis to direct experimental design. In this manner, statistical analysis will direct library sampling to create a representative adhesion map of the surface. This reduction in the volume of data produced during library evaluation will decrease the time and effort required for the discovery process.
Citation
ACS PMSE Preprint
Volume
88

Keywords

adhesion, factorial design, JKR, microlens, polymer adhesion

Citation

Forster, A. , Stafford, C. , Karim, A. and Amis, E. (2003), Combinatorial Adhesion Measurements: Factorial Design Concepts for Data Collection and Library Evaluation, ACS PMSE Preprint, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=852121 (Accessed April 21, 2024)
Created December 31, 2002, Updated October 12, 2021