For components with large production volumes, fully automatic straightening systems are the method of choice. With these, components can be precisely brought into the desired shape and tolerances in short cycle times and the results can be documented metrologically.
Innovative online measurements of the component before and during the straightening process in combination with our intelligent, self-learning straightening algorithms, with a dynamic adaptation of the straightening behavior to changed component properties, lead to optimized cycle-times and precise straightening results.
The straightening process is based on the calculation of the necessary straightening steps and paths depending on component deformation and component properties. For this purpose, an ideal straightening stroke is calculated for each straightening point in order to achieve the nominal dimension. Among other things, the calculation takes into account all measured values, the stored straightening strategy and the straightening parameters taught independently by the system.
A number of parameter values are stored for each straightening point, which include the following data:
– ratio plastic/elastic deformation
– necessary straightening stroke
– number of straightening strokes
– direction of movement of drives
The parameter values are dynamically adapted by the control to changed component properties as soon as the control detects deviations from the ideal (i.e. cycle-time optimized) straightening behavior. In this way, a self-learning, automatically optimizing, cycle-time-minimized process is achieved.
In the case of irregularly changing component properties (e.g. parallel production with different dies), several switchable parameter sets can optionally be used.
Basically, the straightening strategy is determined individually for each component type and optimized in the course of plant commissioning.