Method for the design of forming tools for rotary-draw bending of bend-in-bend geometries (MeFoBo)
As part of the DFG SPP2422, data-based methods are being investigated to improve the design of die surfaces. Synthetic data from simulations, real data from experiments and experience-based knowledge will be combined.
Project description
In rotational tension bending, the required bending moment is applied by clamping the tube in a force-fit manner. The clamping must transmit a process-related tensile force, so that either a minimum clamping length or a minimum static friction coefficient must be guaranteed. If the distance between two consecutive bends falls below the minimum required clamping length, forming tools are required that must retain the geometry of the previous bend or a part of it in their die faces. The CAD geometries of the components are often used to design the die surfaces. However, these do not take into account the deterministic and stochastic influences of the process, resulting in deviations that have to be compensated for manually and iteratively during the running-in of the tools. Within the framework of DFG SPP2422, data-based methods are being investigated in order to improve the design of die surfaces. Synthetic data from simulations, real data from experiments and experience-based knowledge will be combined.
Focal points of the project
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Data-based process modeling
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Combination of synthetic and real data with experience-based knowledge
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Effective surface design of forming tools for rotary draw bending
Everything at a glance
Research methods & procedure
Data-based geometry prediction
Development of a data-based prediction for discrete pipe geometries and evaluation of the influence of different input parameters on the pipe geometry.
Uncertainty-based geometry description
Development of an uncertainty-based geometry description based on the data-based geometry prediction for the consideration of permissible geometry tolerances.
Rule-based active surface design
Derivation of mechanism-based and knowledge-based rules for the design of mold surfaces depending on a defined scattering width of the pipe geometry.
Funding bodies and cooperation partners
The project is funded by the German Research Foundation (DFG ) as part of the priority program SPP2422 "Data-driven process modeling in forming technology". The aim of the priority program is the data-based design of die surfaces to robustify processes and shorten the try-out phases of dies.