Spraying Parameter Calculation for Robot Painting Speed Adaptation
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Solution Overview
Problem
Existing methods for determining spraying parameters for painting appliances, such as robots with paint atomizers, require time-consuming experimental adjustments to ensure homogeneous paint coverage and adapt to changing movement speeds, leading to inefficiencies and potential visual defects.
Innovation Solution
A method to calculate new spraying parameters by varying known parameters to maintain a similar spraying map, allowing for quick adaptation to different movement speeds without the need for extensive experimentation, and enabling real-time recalculations to ensure consistent paint coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If additional switching points are defined to adjust spraying parameters for different speeds, then painting quality can be maintained across speed variations, but the complexity of programming and parameter management increases
Solution Approach 1:
The patent applies parameter changes by establishing mathematical relationships between movement speed and spraying parameters (outlet flow rate, atomizer air pressure, guidance air pressure). Instead of manually defining switching points for different speed ranges, the system automatically calculates appropriate parameter values based on the current speed, eliminating the need for complex pre-programmed parameter sets while maintaining coating uniformity
Solution Approach 2:
The patent replaces the mechanical/experimental approach of determining parameters through trial-and-error experiments with a computational model. The mathematical relationships allow the system to calculate optimal spraying parameters directly from movement speed data, substituting physical experimentation with algorithmic computation to reduce programming complexity
2Manufacturing precision
If experiments are conducted to determine parameter sets for different speed ranges, then accurate spraying parameters can be obtained, but time and resources are consumed
Solution Approach 1:
The patent applies preliminary action by pre-establishing mathematical relationships and models that directly calculate spraying parameters from movement speed. This eliminates the need for time-consuming experiments during implementation, as the system can immediately determine accurate parameters through computation based on the pre-developed mathematical framework
Solution Approach 2:
The patent creates a virtual model (mathematical relationship) that replicates the complex physical interactions between movement speed and spraying parameters. This computational copy allows accurate parameter determination without physical experimentation, saving time and resources while maintaining precision
3Object-affected harmful factors
If paint amount is reduced at turning points to prevent paint runs, then coating defects are avoided, but coating thickness becomes non-uniform
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting multiple spraying parameters (outlet flow rate, atomizer air pressure, guidance air pressure) in continuous proportion to movement speed. This ensures that paint amount is precisely matched to the instantaneous speed at turning points, preventing paint runs while maintaining uniform coating thickness through proportional parameter adaptation
Data Source
AI summary
A method for determining of spraying parameters for controlling a painting appliance which sprays and is moved over an area to be painted, in particular a robot with a painting application. A known spraying map is produced, using known spraying parameters and paint amount, for a predetermined movement speed of the painting appliance, and a paint amount is matched to a new movement speed in comparison to the predetermined movement speed. Furthermore, new spraying parameters are calculated for the adapted paint amount, while maintaining a spraying map which is similar to the known spraying map.