Robot Vehicle Body Sanding With 3D Defect Position Matching
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Solution Overview
Problem
Conventional vehicle body sanding methods, including manual and full sanding, suffer from quality deviations due to worker skill variability, health risks from dust, omission of inspection processes, and secondary dust defects, as well as position errors from conveyor surging and seating issues.
Innovation Solution
An automated system using a 3D vision simulator and a robot with a sanding tool, dust absorber, and sandpaper replacement device, which detects defects through 2D and 3D imaging, adjusts robot paths, and controls sanding pressure and RPM to precisely address defects while minimizing dust.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If full sanding is performed on the entire vehicle body, then all defective positions can be addressed, but excessive dust is generated causing secondary dust defects and requiring expanded cleaning processes
Solution Approach 1:
The system performs sanding only at specific defective positions identified through inspection, rather than sanding the entire vehicle body. The robot precisely positions the sanding tool at detected defect locations based on 2D image analysis and 3D coordinate mapping, applying local treatment to local problems.
Solution Approach 2:
The sanding process is segmented into targeted operations at individual defect locations rather than a continuous full-body sanding operation. Each defect is identified, localized, and treated independently, allowing the process to address multiple defects without generating dust across the entire surface.
2Adaptability or versatility
If manual sanding is performed by workers, then flexibility and adaptability are maintained, but quality deviation occurs depending on worker skill
Solution Approach 1:
The system autonomously identifies defects through image inspection, determines sanding parameters, positions the robot, and executes the sanding operation without human intervention. The automated system serves itself by integrating inspection and treatment functions, eliminating quality variations caused by different workers while maintaining adaptability through programmable control.
Solution Approach 2:
The manual mechanical sanding operation is replaced with an automated robot system controlled by computer vision and 3D modeling. The robot precisely replicates and executes sanding operations based on digital models, replacing human manual control with automated mechanical control for consistent quality.
3Device complexity
If the inspection process is omitted in full sanding, then the process is simplified, but defects for each part of the vehicle body cannot be precisely targeted
Solution Approach 1:
The system performs preliminary inspection and defect detection before the sanding operation. 2D images are captured and analyzed to identify defect locations, which are then mapped to 3D coordinates. This preliminary action enables precise targeting during the subsequent sanding phase without requiring complex real-time adjustments.
Solution Approach 2:
A 3D coordinate mapping system serves as an intermediary between the 2D image inspection data and the robot's 3D sanding operation. The mapping process translates detected defect positions from 2D image space into accurate 3D robot target coordinates, enabling precise defect localization without direct complex integration between inspection and sanding systems.
4Object-affected harmful factors
If a robot performs automated sanding, then health risks from dust exposure are eliminated, but position errors from conveyor surging and seating issues must be compensated
Solution Approach 1:
The system uses 3D scanning to capture the actual position of the vehicle body on the conveyor, comparing it with the expected position from the 3D CAD model. Position deviations are detected and fed back to adjust the robot's target coordinates, compensating for conveyor surging and seating errors to maintain precise positioning.
Solution Approach 2:
The system dynamically adjusts the robot's target position parameters based on measured deviations in the vehicle body's actual position. By changing the coordinate parameters in real-time according to detected position errors, the system compensates for conveyor and seating variations without requiring mechanical adjustments.
Data Source
AI summary
An automatic vehicle body sanding system operated in a painting factory includes a painting inspection device configured to detect a defective position (NG Point) by analyzing a 2D image of a vehicle body for which an intermediate process has been completed taken with a camera, and display the defective position on a 3D vehicle body drawing. The automatic vehicle body sanding system includes a robot having a multi-joint structure on which at least one of a 3D scanner, a sanding tool, and a dust absorber required for sanding work is mounted. Further, the automatic vehicle body sanding system includes a server configured to match the defective position of the vehicle body detected by the painting inspection device and 3D scan data of the vehicle body scanned by the 3D scanner with a 3D vehicle body drawing shape on a simulator.