Autonomous Sanding Head Repair for Surface Defect Finishing

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Solution Overview

Problem

Current automated finishing systems lack the capability to autonomously detect and repair defects in workpieces efficiently, often requiring manual intervention for severe defects and inconsistent surface finishes.

Innovation Solution

The system employs an end effector with a sanding head and optical sensors to capture images, create virtual models, detect defects, and generate toolpaths for both global and local scans, allowing for autonomous navigation and force control to repair defects through material removal, maintaining target forces and achieving consistent surface finishes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated finishing systems are used, then productivity is improved, but the ability to autonomously detect and repair defects deteriorates

Engineering Contradiction:
Improveproduction efficiencyVSAvoidautonomous defect detection and repair capability
Core Design Contradiction:
ProductivityVSExtent of automation

Solution Approach 1:

The system enables the workpiece to undergo self-inspection through integrated optical sensors and self-repair through autonomous sanding operations. The defect detection system identifies surface irregularities and automatically triggers repair sequences without human intervention, allowing the finishing system to service itself

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The automated finishing system integrates multiple functions including defect detection through optical sensing, defect classification through image processing, and defect repair through sanding operations. This multi-functional approach allows a single system to handle both inspection and correction tasks that previously required separate manual processes

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Manufacturing precision

If manual intervention is used for defect repair, then defect repair quality is improved, but productivity deteriorates

Engineering Contradiction:
Improvedefect repair qualityVSAvoidproduction efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The system replaces manual mechanical inspection and repair operations with automated optical detection and robotic sanding. Image processing algorithms analyze surface defects with consistency and precision matching manual expertise, while robotic sanding heads apply controlled material removal to repair defects, eliminating variability in manual operations

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements closed-loop feedback where optical sensors continuously monitor the workpiece surface, detect defects, classify their severity, and trigger appropriate repair responses. The system adjusts sanding parameters based on real-time defect characteristics and monitors repair progress, ensuring consistent quality outcomes

Inventive Principle:
Principle #23Feedback

3Manufacturing precision

If comprehensive defect detection is implemented, then manufacturing precision is improved, but device complexity deteriorates

Engineering Contradiction:
Improvesurface finish consistencyVSAvoidsystem complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system combines optical sensing, image processing, defect classification, and sanding control into an integrated automated finishing system. The controller coordinates all subsystems through a unified control architecture, merging detection and repair functions that would otherwise require separate equipment and操作流程

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The defect detection process is segmented into distinct stages: image capture by optical sensors, image processing to identify surface features, defect classification to categorize severity, and repair decision-making. This segmentation allows each stage to be optimized independently while maintaining overall system coherence

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11938632B2Method for autonomously detecting and repairing defects in a workpiece in surface finishing applications
Publication Date: 2024.03.26 GRAYMATTER ROBOTICS INC
  • US11938632B2 patent drawing
  • US11938632B2 patent drawing
  • US11938632B2 patent drawing

AI summary

A method includes: compiling lower-resolution images, captured during a global scan cycle executed over a workpiece, into a virtual model; defining a nominal toolpath and a nominal target force for the workpiece based on a the virtual model; detecting a defect indicator on the workpiece based on the lower-resolution images; accessing a higher-resolution image captured during a local scan cycle over the defect indicator; characterizing the defect indicator as a defect reparable via material removal based on the higher-resolution image; defining a repair toolpath for the defect based on the virtual model; navigating a sanding head over the workpiece according to the repair toolpath to repair the defect; and, during a processing cycle: navigating the sanding head across the workpiece according to the nominal toolpath and deviating the sanding head from the nominal toolpath to maintain forces of the sanding head on the workpiece proximal the nominal target force.