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Categories | StreT- Close Crack Detection |
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Brand Name: | DGAX |
Model Number: | StreT |
Certification: | CE |
Place of Origin: | Dongguan,China |
MOQ: | 1set |
Price: | Contact Us |
Payment Terms: | T/T |
Supply Ability: | 100sets/month |
Delivery Time: | 45-60days |
Packaging Details: | Foam inner+ exported wooden case |
Function: | Products appearance defect inspection |
Application: | Rubbers, Plastics,Cable... |
Warranty: | 1 Year |
Core Components: | AI intelligence,Servo Motor, PLC, cylinder,CCD Camera, |
Power supply: | AC220V±10% 50HZ/60HZ |
Efficiency: | 100pcs/h (Depends on size and material ) |
Volume: | Feeding device 300L |
Quantity of Camera: | Depends on detection requirement |
Company Info. |
Dongguan Anxiang Intelligence Equipment Co., Ltd |
Verified Supplier |
View Contact Details |
Product List |
✔ Sub-Micron Crack Detection – Identifies closed/hairline cracks as fine as 5μm
✔ Multi-Spectral Imaging – Combines UV fluorescence + polarized light + thermal imaging
✔ AI-Powered Analysis – Distinguishes:
→ Surface-breaking cracks (even with no visible gap)
→ Subsurface defects (via thermal diffusion analysis)
→ Stress concentration zones (predictive failure points)
Optical Resolution: 25MP camera + 10X optical zoom
Detection Sensitivity:
Surface cracks: ≥5μm width
Subsurface flaws: ≥0.1mm depth
Inspection Speed: 100mm²/sec (adjustable scan density)
Lighting System:
UV excitation (365nm) for micro-crack highlighting
Cross-polarized lighting for stress visualization
Metal Components: Engine blocks, turbine blades
Ceramics: Insulators, biomedical implants
Composite Materials: Aerospace structures, pressure vessels
Technology | Crack Type Detected | Depth Penetration |
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UV Fluorescence | Surface-breaking | 10μm |
Lock-In Thermography | Subsurface | 2mm |
Digital Image Correlation | Stress-induced micro-cracks | N/A (surface strain) |
→ 3D Crack Mapping – Quantifies length/depth/orientation
→ Self-Learning Database – Improves detection for new materials
→ Predictive Maintenance – Tracks crack propagation over time
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