LS734 Linear Stirling Cryocooler for MCT Cooled Infrared Detector with ≤1.0kg Weight, ≥20000hrs MTTF, and ≤10W Steady Power
The LS734 linear Stirling cryocooler incorporates advanced moving magnet linear motor technology and self-lubricating coatings to significantly enhance reliability and operational lifespan. The flexible connection between compressor and dewar via connecting pipes enables versatile layout configurations across various application scenarios.
- Rapid cooling capability
- Wide operating temperature range
- Low vibration and noise levels
- High reliability design
- Supports 7*24 hour continuous operation
- Gas leak monitoring systems
- Security monitoring applications
- Scenarios requiring extended operational periods
| Model | LS734 |
|---|---|
| Type | Linear Stirling Cryocooler |
| MTTF | ≥20000hrs |
| Maximum Size (mm) | Compressor Φ46*122 Expander Φ40*88 |
| Weight | ≤1.0kg |
| Cooling Power | (@77K@20℃)≥1300mW |
| Operating Temperature | -45℃~+71℃ |
| Storage Temperature | -55℃~+85℃ |
| Environmental Specification | GJB150A-2009 |
| Input Voltage | 24DC |
| Max Power Consumption | 50W |
| Steady Power Consumption | ≤10W (430mW@77K@20℃) |
| Cooling Time | ≤4min (450J@77K@20℃) |
| Cold Finger Dimension | Φ8mm |
| Electronics | Built-in |
| Integration Method | IDDCA |
Thermal Sensitivity, also known as NETD (Noise Equivalent Temperature Difference), is a critical parameter for evaluating medium wave (MWIR) and long wave (LWIR) thermal imaging cameras. This metric directly relates to the clarity measured by thermal imagers and represents a numerical value indicating the signal-to-noise ratio of temperature difference, measured in milliKelvins (mK). Lower thermal sensitivity values indicate higher sensitivity and clearer image quality.
Temperature measurement and all-weather imaging represent the two fundamental functions of infrared thermal imaging technology. Products developed using these technologies are extensively applied across multiple sectors including security & monitoring, UAV payloads, industrial inspection, firefighting, predictive maintenance, ADAS, epidemic prevention, and AIoT applications.
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