COORDINATE MEASURING MACHINE (LARGE RANGE,HIGH ACCURACY, with PH10T and TP20 )
BDT 0/-
Product Details
Brand: INSIZE
Model: CMM-PM686A
Country Of Origin: China
Features:
Classic bridge structure, integrated workbench
High precision air bearing
Special non-linear spring system to minimize guide way error
| Type: | Coordinate Measuring Machine (Standard Accuracy) |
| Range X×Y×Z: | 600×800×600mm |
| Probe Head: | Renishaw PH10T |
| Probe Body: | Renishaw TP20 |
| Accuracy MPEE: | ±(2.1+L/300)µm |
| Accuracy MPEP: | 2.4µm |
| Max. Load: | 800kg |
| Overall Dimensions: | 1485×1800×2730mm |
| Weight: | 1650kg |
| Power Supply: | 220V±5%, 50Hz (Max. 1000W) |
| Software: | INSIZE Visual DMS CNC CAD+ |
The INSIZE CMM-PM686A Coordinate Measuring Machine is a high-precision bridge CMM designed for industrial dimensional inspection and quality control. It features Renishaw measurement systems, high-precision air bearings, a PH10T motorized probe head with 720 positions, and INSIZE Visual DMS CNC CAD+ software for accurate geometric measurement and CAD integration. With a measuring range of 600 × 800 × 600 mm, a maximum load capacity of 800 kg, MPEE accuracy of ±(2.1 + L/300) µm, and MPEP accuracy of 2.4 µm, it is suitable for inspecting medium-to-large workpieces. The machine measures 1485 × 1800 × 2730 mm, weighs 1650 kg, and requires a controlled temperature, humidity, and compressed-air supply for reliable operation.
The INSIZE CMM-PM686A Coordinate Measuring Machine is a high-precision bridge CMM designed for industrial quality control, manufacturing, and metrology laboratories. It features Renishaw measurement systems, high-precision air bearings, a PH10T motorized probe head with 720 positions, and INSIZE Visual DMS CNC CAD+ software for accurate geometric measurement and CAD integration. With a measuring range of 600 × 800 × 600 mm, a maximum load capacity of 800 kg, MPEE accuracy of ±(2.1 + L/300) µm, and MPEP accuracy of 2.4 µm, it is ideal for inspecting machined components. Optional software modules support gear, worm, pipeline, blade, and SPC data analysis.
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