In-line Automated Roughness Profiler

Product features:

This automated profilometer supports full-automatic operation without manual intervention, which can match the beat of the production line and improve production efficiency. It adopts IP67 protection level design for the measuring head, which can resist workshop oil stains and dust, and is suitable for harsh industrial production environments. It supports PLC and MES system docking, and can realize real-time data upload and remote monitoring. The built-in automatic calibration function can regularly verify the measurement accuracy without manual disassembly and debugging. It supports custom testing procedures to adapt to different types of workpieces.

Product specifications:

1. Ra Measuring Range: 0.01μm ~ 80μm, Rz Measuring Range: 0.05μm ~ 400μm, Contour Measurement Stroke: 0~30mm; 2. Measurement Accuracy: ±2% of reading for readings ≥0.1μm; 3. Display: 10-inch industrial touch screen, suitable for workshop environment viewing; 4. Power Supply: 24V DC, ±10% voltage range; 5. Total Weight: 120kg; 6. Overall Dimensions: 1200mm (length) × 800mm (width) × 600mm (height); 7. Integration Interface: Supports PLC, MES, Ethernet/IP, PROFINET industrial communication protocols; 8. Ingress Protection Rating: IP67 for measuring head, IP54 for main unit; 9. Measurement Speed: 50 measurement points per second; 10. Compatible Workpiece Size: Length 0~200mm, Width 0~150mm; 11. Supported Measurement Standards: ISO 4287, GB/T 3505; 12. Built-in standard calibration block for regular accuracy verification.

Product application:

This in-line roughness profiler is widely used in auto parts production lines (such as crankshafts and camshafts), batch quality inspection of hardware stamping parts, flatness detection of electronic component pins, surface roughness inspection of home appliance shells, on-line quality inspection of construction machinery structural parts, and supporting testing of automated packaging production lines. It can realize full-process quality control of mass production products, reduce manual testing errors, and improve the overall quality level of enterprise products.