Textile Needle Detectors are specifically designed for the textile and garment industries, offering high sensitivity and outstanding performance. These machines are ideal for detecting small metal objects such as Fe 0.8mm steel needles and even small scissors, ensuring product safety and quality control.
**Specifications:**
- **Model No.:** NDC-A
- **Detection Sensitivity:** Fe Φ0.8mm steel to small scissors
- **Detection Adjustment:** Up to 100 steps per channel
- **Alarm Method:** Buzzer and visual indicator (lamp)
- **Belt Speed:** 32m/min (50Hz), 40m/min (60Hz)
- **Power Source:** AC 200–240V, 50–60Hz
- **Rated Output:** Approximately 140W
- **Weight:** Approximately 220kg
- **Trademark:** Rehoo
- **Certification:** CE
- **Origin:** Made in China
- **HS Code:** 8543709100
**Key Features:**
- Advanced magnetic induction technology for precise detection
- 9 sets of sensors provide excellent anti-interference performance
- User-friendly control panel with LED bar display and product counter
- High-accuracy detection locating system with LED indicators
- Real-time sensitivity monitoring and level setup indication
- Flexible conveying mode after alarm, with optional automatic restart
- Robust mechanical frame design ensures stable detection performance
- High-intensity construction for long-lasting durability
- Compatible with universal AC power supply (200–240V)
**Sensitivity Levels:**
| Height | Detection Sensitivity | Remark |
|--------|------------------------|--------|
| 100mm | Fe Φ0.8mm | Standard Type |
| 120mm | Fe Φ1.0mm | Customized |
| 150mm | Fe Φ1.2–1.5mm | Customized |
| 200mm | Fe Φ1.5–2.0mm | Customized |
These detectors are an essential tool for maintaining quality standards in textile and garment production lines, offering reliable and efficient metal detection solutions. Whether you're looking for standard or customized settings, this machine is built to meet your needs with precision and ease of use.
25*1 Planer Blade
SICHUAN TELOS NEW MATERIAL TECHNOLOGY CO., LTD , https://www.kenlarcutters.com