20240019826. TUBE BENDING METHOD AND TUBE BENDING SYSTEM simplified abstract (HEXAGON TECHNOLOGY CENTER GMBH)
Contents
TUBE BENDING METHOD AND TUBE BENDING SYSTEM
Organization Name
HEXAGON TECHNOLOGY CENTER GMBH
Inventor(s)
Bernd Reimann of Heerbrugg (CH)
Christian Linz of Vechelde (DE)
[[:Category:Miriam Zur M�hlen of Braunschweig (DE)|Miriam Zur M�hlen of Braunschweig (DE)]][[Category:Miriam Zur M�hlen of Braunschweig (DE)]]
TUBE BENDING METHOD AND TUBE BENDING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240019826 titled 'TUBE BENDING METHOD AND TUBE BENDING SYSTEM
Simplified Explanation
The abstract describes a method and system for tube bending using a tube bending machine. The input parameters of the machine, which define the processing steps, are determined based on a mapping of bending parameters that define the desired tube bending geometry. This mapping is determined using a data-driven approach, where a machine learning model is trained using processing data from previous bending processes. The model establishes a relationship between the input parameters and the target bending parameters. The training data includes values of the bending parameters, corresponding values of the input parameters, and a comparison of the bending parameter values with actual measured values from the bending process.
- The patent/application describes a method and system for tube bending using a tube bending machine.
- The input parameters of the machine are determined based on a mapping of bending parameters.
- The mapping is established using a machine learning model fitted to processing data from previous bending processes.
- The model enables a machine learning dependency of the input parameters on the target bending parameters.
- Training data includes values of the bending parameters, corresponding values of the input parameters, and a comparison of the bending parameter values with actual measured values.
- The method improves the accuracy and efficiency of tube bending processes.
Potential applications of this technology:
- Manufacturing industries that involve tube bending, such as automotive, aerospace, and construction.
- Fabrication of complex tube structures, such as exhaust systems, roll cages, and hydraulic systems.
Problems solved by this technology:
- Inaccurate tube bending due to manual parameter selection or lack of precise control.
- Inefficient trial and error approach to achieve desired bending geometry.
- Difficulty in replicating successful bending processes.
Benefits of this technology:
- Improved accuracy and precision in tube bending, leading to better quality products.
- Increased efficiency and reduced production time by optimizing the bending process.
- Enhanced repeatability and reproducibility of successful bending processes.
- Reduction in material waste and cost associated with trial and error approaches.
Original Abstract Submitted
a method and a system for tube bending by a tube bending machine, wherein values of input parameters of the tube bending machine defining processing steps of the tube bending machine are determined as a function of a mapping of bending parameters defining a target tube bending geometry to the input parameters. the mapping is determined by a data-driven approach, wherein a machine learning based mapping model is fitted to tube bending machine processing data of an ongoing or a previous bending process, thereby providing a machine learning dependency of the input parameters from target bending parameters. for the training of the mapping model, values of the bending parameters and corresponding values of the input parameters are used, as well as a comparison information between the values of the bending parameters and measured actual values of the bending parameters resulting from the tube bending process.
