A

Process Signatures–Knowledge-based approach towards function-oriented manufacturing

Procedia CIRP, vol. 108, pp. 624–629

Abstract

Surface layer properties are of crucial importance for the functional performance of manufactured components. For the vision of a function-oriented production, the relevant surface layer properties for the considered functional properties (e.g. fatigue strength, corrosion resistance) are to be generated by an adequate selection and adjustment of manufacturing processes. In order to accomplish this in a resource-efficient manner, extensive knowledge about the impact of manufacturing processes on the workpiece material is required. During the process, the material responds to external loads (e.g. process forces, heat fluxes in the contact zone) which induce internal material loads (e.g. strain, temperatures, chemical potential), which finally are responsible for the resulting material modifications (e.g. changes in hardness, residual stress, chemical composition). The correlations between material modifications and internal material loads are aggregated in Process Signatures. This keynote shows exemplary Process Signature Components and their use in generating targeted surface layer properties. The key scientific challenges are developments towards a deeper understanding of the underlying mechanisms leading to modifications in the microstructure and the derivation of suitable descriptive quantities for the relevant internal material loads, which can usually only be obtained from process simulations. Based on this, a prediction and knowledge-based generation of depth profiles of surface layer properties is possible, wherefore first approaches are presented in this keynote.

Authors 9

  1. University of Bremen · Leibniz-Institut für Werkstofforientierte Technologien - IWT

    Affiliation as printed

    Leibniz Institute for Materials Engineering IWT, Badgasteiner Str. 3, 28359 Bremen, Germany

    University of Bremen, Faculty of Production Engineering, Badgasteiner Str. 1, 28359 Bremen, Germany

  2. Tobias Kinner-Becker corresponding

    University of Bremen · Leibniz-Institut für Werkstofforientierte Technologien - IWT

    Affiliation as printed

    Leibniz Institute for Materials Engineering IWT, Badgasteiner Str. 3, 28359 Bremen, Germany

    University of Bremen, Faculty of Production Engineering, Badgasteiner Str. 1, 28359 Bremen, Germany

  3. RWTH Aachen University

    Affiliation as printed

    Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

  4. University of Bremen · Leibniz-Institut für Werkstofforientierte Technologien - IWT

    Affiliation as printed

    Leibniz Institute for Materials Engineering IWT, Badgasteiner Str. 3, 28359 Bremen, Germany

    University of Bremen, Faculty of Production Engineering, Badgasteiner Str. 1, 28359 Bremen, Germany

  5. RWTH Aachen University

    Affiliation as printed

    Central Facility for Electron Microscopy, RWTH Aachen University, Ahornstr. 55, 52074 Aachen, Germany

  6. University of Bremen · Leibniz-Institut für Werkstofforientierte Technologien - IWT

    Affiliation as printed

    Leibniz Institute for Materials Engineering IWT, Badgasteiner Str. 3, 28359 Bremen, Germany

    University of Bremen, Faculty of Production Engineering, Badgasteiner Str. 1, 28359 Bremen, Germany

  7. Bremen Institute for Applied Beam Technology

    Affiliation as printed

    BIAS – Bremer Institute for Applied Beam Technology, Klagenfurter Str. 5, 28359 Bremen, Germany

  8. RWTH Aachen University

    Affiliation as printed

    Institute of Applied Mechanics, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany

  9. University of Bremen · Leibniz-Institut für Werkstofforientierte Technologien - IWT

    Affiliation as printed

    Leibniz Institute for Materials Engineering IWT, Badgasteiner Str. 3, 28359 Bremen, Germany

    University of Bremen, Faculty of Production Engineering, Badgasteiner Str. 1, 28359 Bremen, Germany

Cited by 21 stored of 21

No patents citing this paper on Lens.org (checked 2026-10-06).

References 19

19 results