Robotic Die Surface Finishing With CAD-Guided Roughness Feedback
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Solution Overview
Problem
The manual polishing of die surfaces in the die manufacturing process is time-consuming, inconsistent, and often fails to meet surface roughness requirements.
Innovation Solution
A vision-based autonomous robot tooling system that generates images of the die surface, compares them with CAD models to identify target areas, selects appropriate finishing tools, and operates them to achieve the desired surface roughness, with real-time monitoring and adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual polishing is used to finish die surfaces, then flexibility and adaptability are maintained, but productivity is low and manufacturing precision is inconsistent
Solution Approach 1:
The robot system autonomously performs the entire finishing process including surface scanning, target area identification, tool selection, and iterative polishing without continuous human intervention. The system self-regulates by comparing scanned surface data with CAD models and automatically adjusting operations until surface roughness requirements are met, thereby dramatically improving productivity while managing complexity through automation.
2Manufacturing precision
If manual polishing is used, then ease of operation is maintained, but manufacturing precision and reliability are poor
Solution Approach 1:
The system continuously scans the die surface during and between finishing operations, compares the scanned geometry with the CAD model, and uses this feedback to identify remaining target areas that require additional polishing. This closed-loop feedback mechanism ensures consistent manufacturing precision by objectively determining when surface roughness requirements are met, eliminating variability associated with manual operation.
Solution Approach 2:
The patent replaces manual mechanical polishing with an automated robot system that uses vision-based surface scanning and computer-controlled finishing tools. This substitution eliminates human variability in polishing technique and pressure application, thereby improving manufacturing precision and reliability while maintaining operational simplicity through automated control.
3Manufacturing precision
If iterative finishing operations are performed to meet surface roughness requirements, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary surface scanning and comparison with the CAD model before actual finishing operations begin. This preliminary action identifies all target areas that require polishing in advance, allowing the robot to efficiently plan and execute the finishing sequence. By pre-identifying work areas, the system reduces total finishing time while ensuring all necessary areas are treated to meet surface roughness specifications.
Data Source
AI summary
A method of performing a finishing operation on a surface of a component includes: (a) generating an image of the surface of the component; (b) comparing the image of the surface of the component with a Computer-Aided Design (CAD) model of the surface of the component to identify a target area to be finished; (c) selecting, by a controller, one of a plurality of finishing tools to perform the finishing operation on the target area; (d) operating, by a robot, a selected one of the plurality of finishing tools to perform the finishing operation; (e) measuring a surface roughness of the target area; and (f) repeating steps (a) to (e) until the surface roughness of the target area satisfies a predetermined value.