Quality Control of Manufactured Surfaces

  • Bianca Maria Colosimo
  • Federica Mammarella
  • Stefano Petrò


Recent literature on statistical process monitoring pointed out that the quality of products and processes can be often related to profiles, where the function relating a response to one or more location variables (in time or space) is the quality characteristic of interest. An important application of profile monitoring concerns geometric specifications of mechanical components, such as straightness, roundness or free-form tolerance. This paper presents a new approach aimed at extending the method proposed for profile monitoring to surface monitoring. In this case, a geometric specification (such as cylindricity, flatness, etc.) is assumed to characterize the machined surface. The proposed method is based on combining a Spatial Autoregressive Regression (SARX) model (i.e. a regression model with spatial autoregressive errors) to multivariate and univariate control charting. In this work, the approach is applied to a case study concerning surfaces obtained by turning and subject to cylindricity tolerance.


Control Chart Machine Surface Form Error False Alarm Probability Spatial Correlation Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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This paper was partially funded by the Ministry of Education, University and Research of Italy (MIUR).


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Copyright information

© Physica-Verlag Heidelberg 2010

Authors and Affiliations

  • Bianca Maria Colosimo
    • 1
  • Federica Mammarella
    • 1
  • Stefano Petrò
    • 1
  1. 1.Dipartimento di Meccanica - Politecnico di MilanoMilanoItaly

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