Multi-functional 3D Roughness Contour Profiler

Product features:

This 3D profiler adopts a high-precision linear motor motion platform, ensuring accurate and stable movement in XYZ three axes, and can realize full-coverage scanning of the workpiece surface. It supports 3D point cloud data collection and 3D model reconstruction, and can generate intuitive 3D surface images and contour reports. The built-in professional 3D surface analysis software can automatically calculate a variety of 3D surface parameters, such as Sa, Sq, Sdr, etc., and support data export in multiple formats such as STL, CSV and PDF. It has a built-in shock absorption system that can stably work in complex laboratory environments, eliminating the impact of external vibration on detection accuracy. Compared with similar 3D contour profilers, it has a larger scanning range and higher resolution, meeting the detection needs of complex and high-precision workpieces.

Product specifications:

Overall dimensions: 800mm (length) × 600mm (width) × 500mm (height); Net weight: 30kg; Measurement type: 3D contact diamond probe measurement; XYZ measurement range: X-axis 0~100mm, Y-axis 0~100mm, Z-axis 0~100μm; Vertical resolution: 0.5nm; Measurement accuracy: ±0.3% of reading + 0.005μm; Sampling speed: 5mm/s; Scanning area: 100mm×100mm maximum; Display: 10-inch IPS touch screen; Interface types: USB 3.0, Ethernet, WiFi 6; Power supply: AC100-240V 50/60Hz + built-in 7.4V 8000mAh rechargeable lithium battery; Compliant standards: ISO 4287, ISO 25178, ASTM E1152; Working environment: Temperature 18~28℃, humidity 30%~60% RH non-condensing

Product application:

This 3D roughness contour profiler is mainly used in high-end scientific research institutions, aerospace component manufacturing, optical component processing, medical implant production, semiconductor packaging and other fields. It can realize comprehensive and accurate detection of the surface condition of complex workpieces, providing key data support for product research and development, process optimization and quality control. It can also be used for academic research in surface science, material science and other fields, helping researchers conduct in-depth analysis of material surface characteristics.