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TWINEX SurfOut

Surface Evaluation System

The TWINEX SurfOut offers the possibility to objectively recognize 3D structures on material surfaces and to evaluate them with regard to specific quality characteristics.

TWINEX SurfOut
All-round success

The quality inspector of tomorrow

In the manufacturing process of bar products, the quality of the surface structure is decisive in addition to the cross-sectional geometry. Roughness on drawn profiles, for example, or fine cracks and spalling on cast structures can negatively influence downstream processes or cause complaints. The eklamationen verursachen. Das TWINEX SurfOut identifies and evaluates the learned defect structures reliably! The self-learning algorithm evaluates the defects as they would be classified by a skilled worker.

Digital benefits of measured data

The IO/NIO evaluations output in the inline process can be used directly to cut out or mark defective areas on the bar material. Furthermore, the eklamationen verursachen. Das TWINEX SurfOut is applied in production learning algorithms of our customers to identify the most complex manufacturing relationships.

Implementation for industrial applications

The industrial suitability of TWINEX SurfOut is impressive not only due to the proven robustness of MSG Maschinenbau but also because of its intuitive operation. Thanks to the clear and easily understandable presentation of results, employees can immediately comprehend the evaluations. A inspection system is only accepted when its error assessments align with the expertise of the skilled operators.

Mechanical adaptability

Whether profile, round, or flat material, the TWINEX SurfOut is precisely engineered to fit your production environment. With our mechanical engineering expertise developed since 1998, we offer versatile, tailor-made solutions that optimize processes, ensure maximum precision, and increase efficiency across a wide range of materials and applications.

Use case

For the control of the surface quality of cast aluminum components our system is successfully used by a renowned automotive manufacturer with more than 40 learned defect structures.

Technical Data

  • Digitization
  • product certification
  • system control
  • Production optimisation in drawing machines
  • Production optimization in straightening machines
  • Production optimisation on husking machines
  • Production optimisation on continuous casting machines
  • machine learning
  • Bar
  • OCTG
  • Linepipe
  • Continuous casting profiles
  • Steel
  • Brass
  • Aluminium
  • etc.
  • Longitudinal transport
  • Surface defects (IO/NIO via AI)
  • Data: SQL
  • Process: PLC
  • Up to 2 m/s

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