When a torque measurement is required, torque transducers show many drawbacks during their use: the usual limits are the need for contact and the effects on shaft line parameters. A new approach is proposed in this work: a non-contact torque meter for a machine shaft has been developed. It carries out torque measurements evaluating the torsional displacement between two distinct sections of the shaft, through the monitoring of their roughness.
The sensing principle employed is the classical laser speckle contrast method. The outcoming intensity scattered by the rough surface is processed by a cross-correlation function. In this way, the angular torsion of two distinct sections is obtained. It is therefore possible to point out the applied torque knowing the shaft torsional stiffness.
In order to carry out the torque measurement
Considering two rotating points in two different shaft sections, the
roughness profiles will obviously show a periodic trend. In an unloaded
configuration, a cross-correlation (Yarlagadda, 2010) of the two
roughness profiles will carry out a function with a maximum in time equal to
Recent works which brought to the interferometric techniques, such Chang et al. (1998) and Kandpal et al. (2000), have provided input for the development of the proposed method; this represents a new approach for torque measurements, because it allows no-contact torque measures, which do not interfere with the machine rotor dynamics as in the classical approaches for torque measurements that involve the use of strain gauges (Myers et al., 2013), accelerometers (D'Emilia et al., 2015a, 2016), surface acoustic wave (SAW) sensors, or a magnetic-encoder-ring or Hall effect sensing element (Cardelli et al., 2015; Fleming, 2008), that may also have problems of thermal stability (Partin et al., 2006; D'Emilia et al., 2015b). It is important to underline how such a measurement is completely contact-free, and it provides the signal only thanks to an incident coherent light on the shaft, coming out from optical fiber. The proposed technique is easier to be applied than other non-contact measurement techniques used for the characterization of materials and mechanical components, such as image correlation (Garinei and Marsili, 2013; Speranzini and Agnetti, 2014) and thermo-elasticity (Becchetti et al., 2009a, b). Those techniques permit the performance of “full field” stress and strain measurements, but they need high-performance data-processing and image-acquisition systems (Brustenga et al., 2005) and elaborate post-processing procedures to perform analysis on rotating mechanical components (Becchetti et al., 2010; Garinei and Marsili, 2014; Speranzini and Agnetti, 2013).
The outline of this paper is as follows. First, the laser speckle contrast method is described in detail, and the performances of the laser contrast method and cross-correlation repeatability tests are discussed in different conditions simulated on a specific test bed. Then the realized measurement setup for torque measurements is described and tested.
As reported in Beckmann and Spizzichino (1987), a possible distinction
between rough and smooth surfaces can be made by focusing the attention on
their properties of light scattering. In Fig. 1, a light beam,
characterized by a wavelength
Rayleigh roughness definition.
Let us consider the reflected light from two different planes, distant
Employing an appropriate source, it is possible to produce an interaction between rough surface and scattered light-ray phases. One of the possible ways to work out this effect is the well-known laser speckle contrast technique. Indeed, macroscopically, the different phase shift produced by the incidence of a light spot on a rough surface results in a diffuse reflection composed of light and dark points, forming the so-called speckle; see Fig. 2. The speckle distribution varies with roughness as a function of phase shift. It is then possible to get speckle's related information, and consequently roughness to, channelling the scattered light into an optical fiber. By coupling the fiber with a photodiode, an electric signal is obtained.
A typical distribution of speckle.
With this setup for the roughness monitoring of a rotating surface, a typical resulting roughness profile in the time domain is shown in Fig. 3, in which the presence of the periodicity peaks is evident.
Typical roughness-dependent intensity function.
The realized measurement chain is illustrated in Fig. 4. The first step
was the optimization of the experimental setup. A 10 mW He–Ne laser at
632 nm wavelength as a light source and four multi-mode optical fibres have been
used. The outcoming light from the laser is split, through an in-fibre beam
splitter, in two multi-mode fibres, whose light strikes the target surface.
The target is made of a steel plate with a known roughness, measured by a
traditional mechanical instrument. The target is mounted on an
electromechanical sledge, which permits both horizontal and vertical
translation with 1
Sketch of the measurement chain.
The two sensing heads are basically fiber optic reflection sensors, focalized by a graded index cylindrical lens. Therefore it was necessary to calibrate these sensing heads to verify the misalignment's effect.
Scattering coefficient dependence on the incident and reflection angle of the light.
The theoretical analysis highlights that better test conditions can be
realized by increasing the incident angle value
However, the worst conditions have been tested, to check the instrument
performance: the fibres have been positioned at nearly
The first optical fiber is mounted on a mechanical micrometric sledge while the second is fixed. In this way it is also possible to realize the spatial resolution evaluation of the described setup. In fact, by moving the sledge, an increment of the distance between the fibre couplers is produced. By checking the voltage profile changes, or the cross-correlation peaks, as mentioned above, the spatial resolution is obtained.
The incoming light beams have been focused through “selfoc” lenses and spacers and then experimentally detected by moving the horizontally target sledge until the detection of the backscattered signal's intensity maximum.
The curve shown in Fig. 6 presents a maximum around 19 mm. The performances of the measurement chain have been studied under this configuration.
Back-reflected light intensity against fibre head or target distance.
The first tested feature is the repeatability. The target has been moved
along the vertical direction at 3 mm s
Cross-correlation repeatability test.
In four different tests, the cross-correlation function follows a common profile, with an increasing inaccuracy around the zero value of the function. The divergence maximum is at 500 ms with a standard deviation equal to 15 % of the reading value. This is highly reduced around the peak where the standard deviation is 2 % of the reading value. This highlights the need to follow the temporal shift of the first cross-correlation peak in order to measure in the best test conditions.
In a second test, the distance between the fibre couplers have been
increased by 10
However, successive tests pointed out the spatial resolution dependence from the following factors: target roughness, incident angle value, incident light wavelength and material type.
As mentioned in the theoretical analysis, the first three factors modulate the speckle distribution and intensity along the observation direction, while the material knowledge is critical due to the dependence of the scattered light from the conductibility (Myers et al., 2013).
As result of the performed tests, the system spatial resolution results equal to 10 mm. However, the possibility of enhancing such a feature is quite reasonable, just by optimizing the measurement conditions. In particular, in order to improve the signal-to-noise ratio some improvement can be made: the environmental light interference should be reduced as well as the misalignments which cause the light losses, the angle of the fibre couplers should be optimized, and the light-source power should be increased, so that a higher spatial resolution could be obtained. However, the spatial resolution obtained is sufficient to carry out the prototype testing.
Cross-correlation (
Once the measurement chain features are defined, it is possible to create an ad hoc setup in order to monitor the non-contact torque measurement technique feasibility. The simplest shaft configuration has been used and reported in Fig. 9; it is characterized by a mean superficial roughness equal to 0.88 mm, the same as that tested before. The material is aluminium.
The shaft (dimensions in millimetres, mm).
The measurement setup.
This is mounted between an electric three-phase asynchronous 0.75 kW motor and a linear electromagnetic brake. This assembly is represented in Fig. 10.
The applied torque is constantly monitored by a piezoelectric load cell.
Under this configuration, the measurement of the applied torque has been performed through Eqs. (1) and (2).
In order to know the shaft stiffness to deduce the torque from the angular torsion, a finite element method (FEM) shaft model has been created (Fig. 11).
The shaft model.
In this case, the shaft simplicity only permits the obtainment of the theoretically necessary information. However, in order to define a general procedure for any kind of shaft, the numerical way has been preferred. The stiffness value is deduced by the model applying a known torque and recording the angular torsion of the shaft. Giving as input the same values tested in the experimental phase, a comparison between the numerical and experimental results is possible. The torsional stiffness is then deduced.
The cross-correlation and the auto-correlation functions, shift for different applied torques, and the angular velocity and the angular shift are reported in Table 1.
Experimental results.
Using the torsional stiffness value in Eq. (1), the torques measured by the optical chain are reported in Tables 2 and 3, in comparison with the corresponding numerical outputs.
Torque measurement results.
Analysing the results shown in the previous tables, it is apparent that there is a fundamental
aspect to emphasize: if the numerical angular shift is greater than
the experimental one, the applied torque measurement is less than numerical
torque value, and vice versa. It appears to be, therefore, a correlation between
these two data sets. The standard deviation value
Angular shift comparison.
As has been pointed out in the feature evaluation phase, the optical instrument proposed is able to detect the angular shift through the monitoring of the superficial roughness in two different sections of the shaft. The auto- and cross-correlation function in a downloaded state is used to obtain the torque from the torsional shift and from the shaft stiffness. This latter feature is obtainable both theoretically, for simple configurations, and numerically through a FEM program. Moreover, the comparison between the numerical expected values and the experimental results is a powerful tool for the model validation and, consequently, for the evaluation of different materials and shapes. The instrument innovation is given by the possibility to perform a non-contact torque measurement. At the same time, the measurement chain dimensions could be significantly reduced by using miniaturized optical components, or, at least, the optical fibres bringing the roughness measurement away enough to not interfere with the test environment.
Even if these tests have been realized with an ad hoc setup, the results give the chance to develop similar systems whenever a torque measurement is required. In this sense, many further developments are possible. The power of the light source and its wavelength, the relative position of the emitting and receiving fiber and the optical alignment improvement using fiber coupled components are all fundamental aspects which are able to significantly enhance the system performances in a wide field of application.
No data sets were used in this article.
The authors declare that they have no conflict of interest.