π Case Study
Vision-Guided Arc Welding Cell for Automotive Chassis Assembly
Thermal distortion-induced seam deviation (>1.8 mm) between stamped aluminum panels; inconsistent joint gap due to fixture wear
ποΈ Project Overview
Tier-1 supplierβs new EV battery enclosure production line
π― Challenge
Thermal distortion-induced seam deviation (>1.8 mm) between stamped aluminum panels; inconsistent joint gap due to fixture wear
π§ Design Approach
Through-the-arc CCD camera with adaptive thresholding; real-time seam tracking using Hough-transform + Kalman filter fusion; closed-loop joint offset correction via URScript TCP redefinition every 25 mm
π Design Diagram
AI-generated project design illustration
π Key Calculations
Seam Tracking Latency Budget
Exposure + Processing + Comms < 12 ms
Result: 9.3 ms
Prevents arc blowout during high-speed welds
Joint Gap Compensation Factor
Ξz = k Γ gap_width
Result: k = 0.62
Maintains consistent penetration depth across 0β3.2 mm gaps
π Results
Weld rejection rate reduced from 8.3% to 0.4%; cycle time shortened by 11.5 sec/part; post-weld inspection pass rate increased to 99.97%π‘ Lessons Learned
- β’Through-the-arc imaging requires spectral filtering at 650Β±10 nm
- β’Kalman prediction improved tracking continuity during brief occlusions
- β’URScript-based TCP update avoids costly PLC-level integration
β Key Takeaways
- 1Through-the-arc imaging requires spectral filtering at 650Β±10 nm
- 2Kalman prediction improved tracking continuity during brief occlusions
- 3URScript-based TCP update avoids costly PLC-level integration
π Prerequisites
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β‘οΈ Next Step
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π Engineering Applications
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