Intelligent Surface Quality Control

Organizer Dr.-Ing.habil. Jürgen LEOPOLD
GFE e.V.; Department for Calculation and Testing; Lassallestr. 14
09117 CHEMNITZ; Germany; Tel./Fax.: +49-371-2710421

Abstract Inspection is the process of determining if a product deviates from a given set of specifications. Fast Inspection usually involves measurement of specific part features such as assembly integrity, geometric dimensions and surface finish. It is a quality control task, but is distinguished from testing tasks. The visual inspection of 3D - parts (A-class surfaces, MEMS, machined surfaces; glossy surfaces and also textile surfaces) is a special task within manufacturing that has been automated at a comparatively slow pace up to this time. Based on physiological and psychological test methods selected experts and costumers checked a surface. The main cosmetic defects can be classified. Different optical methods are applied for 3D - Measuring of microscopically and macroscopically surfaces based on the Projected Fringes Method (PFM), the Electronic Speckle Interferometry (ESPI), the Reflections Method (RFM), White-Light-Interferometry (WLI) and also SEM-, AFM- and Laser Scanning methods (LSM). The session will also focus to advantages and disadvantages of different contemporary intelligent methods for surface inspections: Neural Net based Classification; Fuzzy - Clustering; Fractal Analysis and Wavelet Transformation.

Topics

  • Surface Texture
  • Micromechanical parts identification
  • MEMS
  • Laser based surface modifications
  • Molecular scale roughness
  • Class A-surfaces
  • Machined surfaces
  • Glossy surfaces
  • Textile and wood surfaces Applied methods KI-methods


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