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

Bernhard Karpuschewski, Tobias Kinner-Becker, A. Klink, L. Langenhorst, Joachim Mayer, Daniel Meyer, Tim Radel, Stefanie Reese, Jens Sölter

2022Procedia CIRP16 citationsDOIOpen Access PDF

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.

Topics & Concepts

Process (computing)Material propertiesResidual stressFunction (biology)Mechanical engineeringLayer (electronics)Materials scienceProcess engineeringComputer scienceEngineeringNanotechnologyComposite materialBiologyOperating systemEvolutionary biologyAdvanced machining processes and optimizationAdvanced Surface Polishing TechniquesManufacturing Process and Optimization
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