-Measure all six components of force and torque in a compact,
rugged transducer
The ATI Multi-Axis
Force/Torque Sensor system measures all six components of force and torque. The
system consists of a transducer, shielded high-flex cable, and intelligent data
acquisition system, Ethernet/DeviceNet interface or F/T controller.
Force/Torque sensors are used throughout industry for product testing, robotic
assembly, grinding and polishing. In research, our sensors are used in robotic
surgery, haptics, rehabilitation, neurology and many other applications.
What is a Six-Axis Force/Torque
Transducer?
A device that measures the outputting forces and torques from all three
Cartesian coordinates (x, y, and z). A six-axis force/torque transducer is also
known as a multi-axis force/torque transducer, multi-axis load cell, F/T
sensor, or six-axis load cell.
What is
included in a complete F/T System?
A
complete F/T system consists of a calibrated sensor/transducer and a system
interface.
The sensor measures forces and torques in the X, Y and Z axes. The system
interface provides the signal conditioning and communication to the user’s
system. Some sensors have interface electronics integrated into the body, while
others require external hardware. In order to obtain a quote, a sensor,
calibration, and system interface must be specified.
How do
I Choose a Sensor?
Model
selection is based on:
Load
Magnitude
Size
Requirements
IP
Rating (Environmental Factors)
Accuracy
& Resolution
How do I Choose the Correct
Calibration for My Sensor Model?
To choose the correct
calibration, consider the worst-case moment load that will be applied to the
sensor. Typically, the moment capacity is the determining factor when choosing
the correct sensor model and calibration range. In robotic applications, the worst-case
moment load is typically a dynamic load caused by the acceleration of the
robotic end effector. For this reason, you will have to consider the
speed/power setting of the robot, as the speed/power setting normally
determines the maximum acceleration. The loading case below can be used as a worst-case
load assumption.
