Allicdata Part #: | 1724-1066-ND |
Manufacturer Part#: |
9812R5KL2.0 |
Price: | $ 34.54 |
Product Category: | Sensors, Transducers |
Manufacturer: | Sensata-BEI Sensors |
Short Description: | ROTARY POTENTIOMETER |
More Detail: | Resistive Sensor Rotary Position Hole for Shaft Co... |
DataSheet: | 9812R5KL2.0 Datasheet/PDF |
Quantity: | 146 |
1 +: | $ 31.39920 |
Series: | 9800 |
Part Status: | Active |
For Measuring: | Rotary Position |
Technology: | Resistive |
Rotation Angle - Electrical, Mechanical: | -- |
Linear Range: | -- |
Output: | Resistive |
Output Signal: | -- |
Actuator Type: | Hole for Shaft |
Linearity: | ±2% |
Resistance: | 5 kOhms |
Resistance Tolerance: | -- |
Voltage - Supply: | -- |
Mounting Type: | Chassis Mount |
Termination Style: | Connector |
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Position sensors are used to detect position information for many applications including automation, robotics, machine monitoring, and machine learning. They can provide information about an object’s location, speed, direction, or acceleration. Position sensors can be used to measure angles, linear position, or electrical signals.
What is the 9812R5KL2.0?
The 9812R5KL2.0 is a universal angle and linear position measuring sensor designed for industrial and commercial applications. It provides an analog output signal proportional to the position of an object, such as an armature, valve, or motor. The sensor can measure angles up to 360° and linear positions up to 5mm with an accuracy of 0.1° and 0.5mm respectively.
Applications of the 9812R5KL2.0
The 9812R5KL2.0 is commonly used in industrial automation, robotics, machine monitoring, and machine learning applications. Automation applications benefit from the 9812R5KL2.0’s precise positional data, allowing industrial automation processes to run smoothly and efficiently. It is also used in robotics to measure and regulate arm movement, and in machine monitoring to track machine performance.
The 9812R5KL2.0 is also utilized in machine learning applications for accuracy and precision. It can measure and interpret the position of an object accurately, which helps in efficient data processing. Additionally, the sensor is used in automated systems, such as medical imaging, where its precise measurements are necessary.
Working principles of 9812R5KL2.0
The 9812R5KL2.0 has two sensing methods: optical and electrical. The optical sensing method uses an LED light source and optical sensor to detect the position of objects, while the electrical sensing method measures electrical capacitance. Both methods have been optimized for accuracy and repeatability, providing reliable position sensing.
The sensor has two main components: a light source and an optical sensor. The light source consists of an LED that is used to produce a precisely calibrated light that is directed onto the object. The optical sensor then measures the amount of light that is reflected back or absorbed from the object and uses this data to calculate the position of the object.
The electrical sensing method utilizes measuring electric capacitance. This involves placing two circular electrodes (also referred to as plates) on the object. When electric current is passed through the plates, a field is created. The field is then measured and used to calculate the position of the object.
The 9812R5KL2.0 is capable of measuring angles up to 360° and linear positions up to 5mm. It also features adjustable resolution up to 0.1° and 0.5mm respectively. Additionally, the sensor has a response time of around 50ms and can operate in temperatures ranging from -40°C to 80°C.
Conclusion
The 9812R5KL2.0 is an effective angle and linear position measuring sensor designed for industrial applications. It provides precise analog output signals proportional to the position of an object with adjustable resolution up to 0.1° and 0.5mm respectively. The sensor can measure angles up to 360° and linear positions up to 5mm. Additionally, the sensor has two sensing methods: optical and electrical, each providing reliable measurements. The 9812R5KL2.0 is ideal for industrial automation, robotics, machine monitoring, and machine learning applications.
The specific data is subject to PDF, and the above content is for reference
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