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Abstract
Quality of machined products is often related to the shapes of surfaces that are constrained by geometric tolerances. In this case, statistical quality monitoring should be used to quickly detect unwanted deviations from the nominal pattern. The majority of the literature has focused on statistical profile monitoring, while there is little research on surface monitoring. This paper faces the challenging task of moving from profile to surface monitoring. To this aim, different parametric approaches and control-charting procedures are presented and compared with reference to a real case study dealing with cylindrical surfaces obtained by lathe turning. In particular, a novel method presented in this paper consists of modeling the manufactured surface via Gaussian processes models and monitoring the deviations of the actual surface from the target pattern estimated in phase I. Regardless of the specific case study in this paper, the proposed approach is general and can be extended to deal with different kinds of surfaces or profiles.
Additional information
Notes on contributors
Bianca M. Colosimo
Dr. Colosimo is Associate Professor in the Manufacturing and Production Systems in the Department of Mechanical Engineering. She is a senior member of ASQ. Her email address is [email protected].
Paolo Cicorella
Dr. Cicorella is a Ph.D. candidate at the Department of Mechanical Engineering. His email address is [email protected].
Massimo Pacella
Dr. Pacella is an Assistant Professor in the Department of Engineering for Innovation. His email address is [email protected].
Marzia Blaco
Dr. Blaco is a Ph.D. candidate at the Department of Engineering for Innovation. Her email address is [email protected].
