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Analysis of the Core Control Method of the Schunk Claw
Date: 2025-10-22Read: 22
  Shunk ClawProvide three mainstream control methods with significant differences in applicable scenarios and performance:
Pneumatic control
Advantages: Low cost, diverse models, suitable for most industrial scenarios. The cylinder is driven by compressed air, with a simple structure and easy maintenance.
Limitations: The stability of air pressure directly affects the clamping force. If the gas source is not handled properly (such as humidity>70%, oil content>0.01mg/m ³), it may cause pressure fluctuations, leading to workpiece slippage or deformation.
Optimization suggestions:
The air source treatment system consists of precision filters, pressure reducing valves, and oil mist devices to ensure that the compressed air is dry and free of impurities.
Shorten pipeline length, reduce bending, and lower gas pressure loss. For example, the SCHUNK PGN plus series two finger parallel gripper optimizes the pneumatic circuit design to achieve a closing time of ≤ 0.3 seconds, adapting to the requirements of high-speed production lines.
The air pressure of lightweight workpieces (such as thin-walled metal parts) should be controlled at 0.3-0.5MPa, while heavy-duty workpieces (such as wind turbine blades) should be ≥ 0.7MPa and equipped with hydraulic expansion technology.
hydraulic control
Advantages: Convenient speed regulation, evenly distributed clamping force, suitable for heavy-duty workpieces (such as 500kg wind turbine blades).
Limitations: High system cost and complex maintenance in the later stage (such as regular inspection of hydraulic sealing systems).
Optimization suggestions:
Combining hydraulic expansion technology to ensure no leakage of clamping force. For example, the SCHUNK chuck achieves zero leakage gripping through a hydraulic sealing system, avoiding detachment during blade handling.
Regularly replace hydraulic oil to prevent component wear caused by oil contamination.
power control
Advantages: The performance and structure are superior to the previous two, supporting the integration of AI vision and force control technology, and adapting to the full scenario requirements of precision electronic components to heavy mechanical parts.
Limitations: The initial investment cost is relatively high.
Optimization suggestions:
Using AI vision system (recognition accuracy ± 0.1mm) to lock the target, the force control system automatically adjusts the clamping force according to the workpiece material. For example, in the assembly of mobile phone motherboards, the clamp completes component placement with a precision of ± 0.05mm, and the yield rate increases to 99.9%.
Through open interfaces and standardized protocols such as SECS/GEM, deep integration with the Industrial Internet of Things (IIoT) is achieved, and real-time data such as clamping force and opening and closing times are collected and transmitted to the cloud.