EDAG BestFit allows an automated best positioning of parts to be assembled.
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Sensors pick up an image of the parts to be assembled and ascertain information regarding gap and flushness. A complex algorithm calculates one command for positioning of the actuators, e.g. robots. The parts can be assembled. After assembly, the sensors pick up the results. 100% quality documentation by means of protocol. Influences during assembly, e.g. settling due to tightening of bolts, will be recognized and evaluated for the next correction calculation (automatic, self-learning system). |
EDAG BestFit special features
3-2-1-Rule
With the 3-2-1 Rule the position of a part is determined by three different means, at the same level according to 3 points, at one side with 2 points and at one other side with yet another point. In order to cover perceptible deviations of the parts, the EDAG BestFit determines data over and above the 3-2-1 rule.
Overdetermination
The EDAG system uses overdetermination. The additional
information is necessary for tolerances in the curvature of a part
necessary to be taken into account at assembly. In this way we make
use of all of the advantages of the BestFit. The mounting parts
will be ideally mounted, not just 2D, but 3D.
The postioning of the parts can be influenced by different
weighting where e.g. the gap parallelism has a higher priority than
the gap width.
Control function
The control function makes it possible that the real time pre-positioning can be adjusted to the actual tolerances of the previous 50 parts. Corrective movements are thus reduced to a minimum at pre-positioning.
The components of EDAG's Best Fit process:
Further links:
- EDAG Best Fit Offline Simulation
- EDAG Best Fit Hardware Components
- EDAG Best Fit Software Components
Do you require further information on the EDAG Best Fit
process?
We look forward to receiving your enquiry at
