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      • Degree Programmes
      • Continuing Education
      • Research and Services
      • International
      • About FHNW
      DeEn
      Locations and ContactFHNW LibraryMedia Relations
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      FHNW School of Engineering and Envir...
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      Research Pro...
      Next generation of composite manufacturing using digitalization

      Next generation of composite manufacturing using digitalization

      To optimize the production of composite materials, FHNW researchers have succeeded in enabling cyber-physical systems to monitor and transfer real production conditions to virtual environments.

      Background

      In Switzerland around 150 companies are working in the field of composite materials. They manufacture composite structures for high performance applications. In contrast to conventional materials like metals, the mechanical performance of composite parts is highly dependent on the manufacturing process itself and “as‑built” performance can differ substantially from the initial design models. By adjusting the digital model to reflect the real variability seen in initial production trials, both the design and process could be optimized to maximize component performance and production economics.

      Goals

      The project develops a breakthrough system of connected software and hardware to enable the generation of a “digital twin” for thermoset composite manufacturing. A coupled cyber physical system will be developed to capture data from the shop floor during manufacture and enable the creation of the digital twin model. This manufacturing will combine innovations in the following three technology areas: (1) online process monitoring (2) a holistic standards based approach to store manufacturing related data and (3) software to interpret this data to enable simulation of the “As-built” condition.

      Results

      Within the project, it has been possible to enable cyber physical systems for monitoring and transferring real production states to virtual environments. Machine vision methods and machine learning algorithms have been used to accompany the production of high-tech composite materials. The use of numerical computational methods with the data of real component conditions is thus enabled in the virtual environment and could be implemented within the project for three use cases.

      Project-Information

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      Client

      Hexagon, Nägeli Swiss und Ansys Switzerland GmbH

      Execution
      FHNW Institut of Polymer Engineering
      Dauer
      2 years
      Förderung
      Innosuisse
      Projektteam
      Oliver Döbrich, Ayoh Anderegg, Prof. Dr. Christian Brauner

      About FHNW

      Institute of Polymer EngineeringMaking research and development projects a reality
      Christian Brauner

      Prof. Dr. Christian Brauner

      Group Leader Lightweight Design and Composite Technologies

      Telephone

      +41 56 202 74 75 (undefined)

      E-mail

      christian.brauner@fhnw.ch

      Address

      Fachhochschule Nordwestschweiz FHNW Hochschule für Technik und Umwelt Klosterzelgstrasse 2 5210 Windisch

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