UA18CAD09PPM1TI Allicdata Electronics
Allicdata Part #:

UA18CAD09PPM1TI-ND

Manufacturer Part#:

UA18CAD09PPM1TI

Price: $ 218.30
Product Category:

Sensors, Transducers

Manufacturer: Carlo Gavazzi Inc.
Short Description: UPROX DR TI M18 2XPNP PLG
More Detail: Ultrasonic Proximity Sensor 3.937" ~ 35.433" (100m...
DataSheet: UA18CAD09PPM1TI datasheetUA18CAD09PPM1TI Datasheet/PDF
Quantity: 1000
1 +: $ 198.45000
Stock 1000Can Ship Immediately
$ 218.3
Specifications
Series: UA18
Part Status: Active
Sensor Type: Ultrasonic
Sensing Distance: 3.937" ~ 35.433" (100mm ~ 900mm)
Output Type: PNP
Response Frequency: 4Hz
Shielding: --
Material - Body: Polybutylene Terephthalate (PBT)
Voltage - Supply: 15 V ~ 30 V
Termination Style: Connector
Operating Temperature: -20°C ~ 60°C
Ingress Protection: IP67
Indicator: LED
Package / Case: Cylinder, Threaded - M18
Description

Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us:   sales@allicdata.com

Proximity Sensors are a variety of sensing devices which are used in automation and robotics systems for the purpose of detecting nearby objects without making physical contact with them. The UA18CAD09PPM1TI is a type of inductive and capacitive proximity sensor, which has its own distinctive applications and working principles.

Inductive proximity sensors are capable of detecting metallic objects without making contact with them. This is achieved through the use of an alternating current (AC), which produces a magnetic field. When a metallic object is brought into the vicinity of the sensor, it is disrupted by the magnetic field, causing a change in the current. This change is detected and processed, and then used to activate or deactivate the system.

Capacitive proximity sensors use electrostatic capacitance in order to detect objects. This is done by creating a small pulse of electricity, which interacts with the electrical fields of any nearby objects. If a object is detected, then the capacitance between it and the sensor will change, resulting in a change in the output of the sensor. This change is then again used to activate or deactivate the system.

The UA18CAD09PPM1TI is an industrial-grade capacitive and inductive proximity sensor which is also suitable for other applications such as machine learning and artificial intelligence. It is suitable for use in both hazardous and non-hazardous areas and is able to detect both metallic and non-metallic objects. It has a detection range of up to 2.36 inches and offers switching frequencies of up to 25kHz.

In terms of its applications, the UA18CAD09PPM1TI can be effectively used in various automated systems, such as factory automation, welding robots, conveyor systems and production lines. It can be used to detect the presence and positioning of a variety of objects, and can be programed and calibrated to work with a wide range of materials, including wood, plastic and stone. It can also be used for machine learning and artificial intelligence.

In terms of its working principle, the UA18CAD09PPM1TI uses a combination of inductive and capacitive sensors in order to detect objects without making contact with them. Inductive sensors produce an alternating current (AC) which creates a magnetic field and when a metallic object is within the vicinity of the sensor, the magnetic fields is disrupted. On the other hand, capacitive sensors create a small pulse of electricity to interact with the electrical fields of nearby objects, and if an object is detected, the capacitance between it and the sensor will change and produce a change in the output. Both of these changes are then detected and can be used to activate or deactivate the system.

The UA18CAD09PPM1TI therefore offers a reliable and effective way of detecting objects in a variety of applications without making contact with them, both in hazardous and non-hazardous areas. It is suitable for use in automated systems, as well as machine learning and artificial intelligence. It is a highly versatile and reliable device that can accurately detect a wide variety of materials.

The specific data is subject to PDF, and the above content is for reference

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