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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.
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 October 8, 2025)