If there is a need to measure forces or torques along multiple vector axes in robotics, for example, the use of "multi-axis sensors" is recommended: Multi-axis sensors simply save a lot of space and installation work in comparison to installing several single-axis sensors. It is especially important to consider "crosstalk" when selecting the right multi-axis sensor.
A multi-axis sensor (also called a multi-component sensor or multicomponent transducer) measures forces/torques, which occur in more than one spatial direction, as with measurements in x- and y-direction. Some multicomponent transducers can not only measure forces in the corresponding axial direction (2K/3K) but also torques acting on the axis. If torques are being determined along with forces, a multi-axis sensor can thus measure up to six components (3xF, 3xM).
In this way, a single multi-component sensor can perform what is essentially a three-dimensional measurement of physical quantities. This feature makes multi-axis sensors ideally suited for applications that involve determining a multi-dimensional load described in the form of x-, y- and z-vectors. Typical fields of application can be found in robotics and machine monitoring (for example, in aircraft assembly and tunnel boring machines) for limit load monitoring and in various test benches (such as tire testing or balancing machines) for acquiring test specimen data, and also in structural tests of offshore applications.
Crosstalk is a problem that typically occurs in measurement tasks involving multiple loads. If a load is applied in one direction only, in principle, based on the physical result of the Poisson effect, there is also a minimum output signal in the other axes due to the transverse sensitivity of the sensor. However, there are technical possibilities available in this situation to minimize these lateral strain effects (crosstalk). For example, the PMX or QuantumX data acquisition system from HBM can be used to carry out compensation computations individually by means of a "matrix compensation". This compensation can reduce crosstalk by a factor of from 3 to 5. The individual compensation matrix of a multi-axis sensor is a precondition for being able to evaluate the crosstalk and reducing the crosstalk to a minimum using individual measurement technology. It is always important to check carefully regarding transparency and how the sensor manufacturer handles the issue of crosstalk when selecting a multi-axis sensor.