Omron
- Disponible:
- 1 piezaBajo pedidoActualizado en: 22-08-2026
- Oferta de:
Proveedor de confianza — Rumanía, miembro desde 2023, 1–4 empleados
Conoce a los líderes mundiales en automatización industrial en ANEXPO 2027| Aprender más
¿Necesita más información?
The Omron TL-W5MD1 2M Flat Inductive Proximity Sensor is designed for precise and reliable detection of ferrous metals. With a compact sensing head size of 18 mm x 10 mm x 30.5 mm, this unshielded, square-type sensor offers a sensing distance of 5 mm ±10%, making it ideal for various industrial applications. The sensor operates on a DC 2-wire power source and features a NO (normally open) operation mode.
Engineered for durability, the TL-W5MD1 boasts IP67 protection and oil-proof capabilities, ensuring reliable performance in harsh environments. The sensor includes protective circuits such as output short-cut protection and a surge suppressor, enhancing its longevity and reliability. The operation indicator (red) and operation setting indicator (green) provide clear visual feedback for easy monitoring.
With a response frequency of 500 Hz and the ability to operate within a wide voltage range of 10 to 30 VDC, this sensor is both versatile and efficient. It can withstand ambient temperatures from -25 to 70 ℃ and humidity levels from 35 to 95%, making it suitable for a variety of industrial settings. The sensor's robust construction includes a heat-resistant ABS resin case and sensing surface, ensuring long-lasting performance.
Applications for the TL-W5MD1 include automated machinery, conveyor systems, and metal detection in manufacturing processes. Its high sensitivity to ferrous metals and resistance to environmental factors make it a reliable choice for demanding industrial...
Omron
Regístrese ahora para explorar 36 millones de ofertas de proveedores verificados de todo el mundo.
Hoja de datos para Omron TL-W5MD1, incluyendo especificaciones y características.
Modelo CAD 3D y planos técnicos, listos para tu software de diseño.

Obtenga análisis en tiempo real y datos de mercado para optimizar sus decisiones de compra de este componente y productos similares.