1. Introduction
Spring stiffness [
1], also known as spring constant or spring moment, is a measure of how much force is required to compress a compression spring for a certain distance. Spring stiffness [
2] is a physical quantity that indicates the rate of change in length relative to the magnitude of the external force acting during elastic deformation.
The purpose of this study is to obtain, by sensor measurements, a mathematical relationship between the compressive forces acting on rubber springs (which are digital inputs) and their elastic deformation. The characteristics of rubber springs obtained by laboratory measurements [
3] are a valuable asset in the selection of real springs that are installed in vibrating machines. The benefit can be justified by the fact that the spring stiffness values stated in manufacturers’ catalogues are often different from the stiffness values of the actual springs.
Steel or rubber springs are widely used in industrial operations to dampen vibrations transmitted to the substructure of vibration machines. The paper [
4] presents the theoretical calculations of the pallet brake, which is a crucial element of the pallet locking system (using cylindrical compression springs) of the conceptual variant of the automatic parking system.
Soliman et al. in their paper [
5] investigated the effect of suspension spring stiffness on vehicle dynamics. They used a chassis dynamometer to perform experimental work. The predicted results were compared with experimental measurements.
The structure of a mechanical spring with adjustable stiffness was presented in the article [
6] and outlined the solution of temperature control systems. The spring was tested in an experimental setup and compiled test results were provided. Selected results were shown in the article for different excitations and operating temperatures. The obtained results show that the spring built using SMA has many interesting properties.
The paper [
7] examined the spatial variation of the Winkler spring stiffness constants.
Due to the need to choose the optimal stiffness of springs that support the oscillating masses of vibrating machines, it is often necessary in practice to verify whether the stiffness of the springs corresponds to the stiffness stated in the spring manufacturers’ catalogues. The actual spring stiffness determined by measuring the compressive/tensile force depending on compression/extension is often different from the catalogue value of the spring stiffness [
8,
9]. For the purpose of determining the spring characteristics, the laboratory equipment described in this article was designed at the Department of Machine and Industrial Design, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava.
Smooth-running conveying equipment—namely, vibratory conveyors with microshafts or vibrating sorters with mechanical exciter, electromagnetic vibrators or vibration exciters consisting of a pair of vibration electric motors [
10]—use the harmonic vibration of the trough or sorting screens [
11,
12] to move grains of bulk material.
In Ref. [
13], L.L. Howell et al. investigated the spring stiffness equivalent to a pseudo-rigid body, and new modelling equations were proposed therein. The result is a simplified method of modelling the force/deflection relationships of large-deflection members in compliant mechanisms.
The articles [
14,
15] represented a structural design as well as a created 3D model used for subsequent physical implementation of a validation device that allows for measuring the force as well as the shortening of a coiled pressure spring during laboratory experiments.
In the article [
16], the authors R. Lefanti et al. conducted an evaluation of the reliability of the elastomeric silent block based on the shape factor, and the materials used were developed.
The authors concluded that silent block failure is caused by radial loads and axial displacement leading to fatigue and wear. They created a test rig to evaluate reliability.
In the article [
17], J. Ziobro presented a mechanical calculation of the silent block model. Based on the model, he performed a 3D numerical analysis using two types of rubber bushings with different hardness. When using all-rubber bushings for silent blocks, the author recommends optimal damping properties achieved by using a lower hardness of these elements. A satisfactory compromise between stability and damping characteristics can also be achieved by using specially shaped bushings that are made of harder rubber.
The following studies [
18,
19], for example, deal with the analysis of the characteristic properties of silent blocks used in automobiles. The article [
18] deals with an aluminium silent block that connects the front suspension mounting and the road wheels subjected to high technical stress. Over time, the connecting part of these products breaks due to insufficient strength.
Fedotov et al. in the article [
19] stated the test equipment and test results that were carried out in the research laboratory of the VSGUTU Car Department. The main purpose of the laboratory tests was to obtain experimental data for the development of mathematical models of the functioning of car suspension silent blocks for the development of a diagnostic method. The authors have shown in this article that the compression resistance of a silent block increases linearly with increasing load. Silent blocks change their compression resistance first slowly with increasing load and then more steeply.
In the study [
20], Hatekar et al. analysed using static and dynamic load cases using virtual simulation (MSC.ADAMS) the stiffness of the casing. Based on the stiffness and load cycle calculation, the profile of the elastomer was finalized, and the material property was chosen to meet all the required parameters of performance and service life.
The operational reliability of vibrating machines [
21,
22,
23] is largely determined by the reliability of suspension elements that use silent blocks. In this regard, currently one of the urgent tasks of technical diagnostics is to determine the technical condition of the suspension in operation. Any suspension of a vibrating conveyor (sorter) contains many details, which complicates its diagnosis and requires highly qualified personnel and special equipment. The detection of suspension faults is often not carried out by diagnostics, but by the structural parameters of the technical condition, determined during the disassembly and defecation of its parts. Failure of any suspension component can reduce operational reliability and directly affect the active safety of the vibrating machine or operator.
The main content of the paper [
24] by the authors Misol, Algermissen and Monner, was the evaluation of the excitation of the windshield, which was realized by an electrodynamic exciter (shaker). The authors of the windshield measurements assumed that the glass was embedded in the rubber, which acted as a spring dampening the vibrations when the vehicle moved.
Rubber springs are widely used in industry as anti-vibration components providing many years of service, as shown in Ref. [
25]. Luo and Wu in the article [
25] state that the purpose of the FE analysis is to obtain improved fatigue life of the spring. It is shown in the paper that a quasi-static simulation for rubber springs using nonlinear software can provide good indication for product design and failure analysis.
M. Berg in Ref. [
26] proposed a nonlinear dynamic model of a rubber spring and focused on the representation of the mechanical behaviour of rubber suspension components in rail vehicle dynamics.
For the analysis of railway vehicle dynamics, the article [
27] by R. Luo et al. designed a simple and more accurate nonlinear rubber spring model. The characteristics of dynamic stiffness and damping were investigated through both simulations and lab tests with various displacement amplitude and frequency.
In the article [
28] by Wu and Shangguan, a model characterizing the relations between excitation frequencies as well as excitation amplitudes and the dynamic performances of a rubber isolator was presented. Measurements showed that dynamic characteristics of the rubber isolators relate to excitation amplitudes and excitation frequencies.
In the article [
29], H. Shi and P. Wu created a nonlinear dynamic model for a rubber spring and subsequently used it to describe the mechanical behaviour of rubber mounts in the suspension system of a railroad vehicle. In this paper, the dynamic stiffness and damping characteristics in relation to the applied displacement amplitude and frequency were investigated by means of simulations and measurements.
In Ref. [
30], Misaji et al. described a method for analysing nonlinear vibration response. They verified the appropriateness and accuracy of this method by directly comparing the analytical results with the experimental results for the dynamic response of a system.
Austin et al. in Ref. [
31] reported that soft springs provide higher torque resolution at the cost of system bandwidth, whereas stiff springs provide a fast response but lower torque resolution. Nonlinear springs potentially incorporate the benefits of both soft and stiff springs, but such springs are often large. A nonlinear spring design was recently proposed that combines a variable radius camera with a rubber elastic element, enabling a compact spring design.
Based on the above-mentioned research of technical articles dealing with measuring spring stiffness and the conclusions therein, it is necessary to use optimal types of silent blocks in vibrating machines. Given this conclusion, the laboratory equipment presented in this article was designed.
The main objective of this study was to use sensors to detect the magnitude of the compressive force acting on the rubber spring, thus enabling monitoring, data collection and storage for the purpose of the autonomous operation of vibration machines. The ability to detect the actual instantaneous magnitudes of the applied forces by sensors in real time and to use these digital values to communicate with the control unit allows for increasing the safety and reliability of the operation of the vibration machine [
31,
32] and its key machine parts, which can also include springs. A significant aspect is the reduction of the risk of accidents both during maintenance and working activities and the assurance of functionality without the need for human presence due to the use of automation and sensor monitoring.
The novelty and innovation can be traced in the designed laboratory device. The laboratory device allows two (independent) methods to determine the exact value of the stiffness of a rubber spring by measurement. The measurement can obtain the value of the compression of the rubber spring and also the value of the pressure force that deforms the rubber spring.
2. Materials and Methods
In the technical literature, instructions are presented on how to select a suitable spring for a given type of vibrating machine; however, often there is a lack of instructions and a methodological procedure on how to correctly and accurately determine the stiffness of a silent block. In this article, we have tried to present one of the options for determining the stiffness of rubber. Stiffness is determined from the values detected by sensors. The signals are processed by the DeweSoft DS-NET measuring system (DEWETRON Inc., East Greenwich, RI, USA) and sent to a PC via a Wi-Fi router, which evaluates them.
Vibrating conveyors/sorters use the inertial forces on the individual grains of the conveyed material to move/sort the material. The inertial forces are generated by the harmonic oscillating motion of the trough (micro-rotor conveyors)—see
Figure 1—in which the material particles are separated from the trough surface at a certain phase of the transport time (the vertical component of the acceleration of the oscillating motion is greater than the acceleration due to gravity).
The source of the harmonic oscillations is the exciter, which is usually firmly connected to the trough. The trough is supported/suspended by steel or rubber (silent block) springs. The springs allow the trough to perform harmonic motion and at the same time prevent the transmission of dynamic forces to the substructure; for this reason there is an attempt to select springs with the lowest possible stiffness s
s [N·m
−1]. The stiffness of the springs also determines whether the vibration machine will operate in the sub-resonant (z < 1), resonant (z = 0.85 ÷ 0.95) or supra-resonant (z > 1 ÷ 5) zone, where z = ω/ω
0, ω = 2·π·f [s
−1] is the operating frequency of the machine, f [Hz] is the frequency of vibration generated by the exciter, and ω
0 [s
−1] is the natural frequency of the machine (1). The stiffness of the springs supporting the trough of mass m [kg] (including the mass of the conveyed material placed on the trough) can be determined according to (1).
In many springs that are in use, especially in the case of the frequently used helical springs or rubber springs, the dependence of the deformation (compression) x [m] due to the applied force F [N] is almost linear [
20], and in graphical expression it is a line. The slope of this line gives the spring stiffness s
s [N·m
−1], which is a constant expressing the force required to deform the spring per unit [
4]. In the case of a direct proportionality between force and deflection, such behaviour can be expressed mathematically as follows by Hooke’s law (2):
where F [N] is the spring force, and x [m] is the spring deflection from the resting state.
A body suspended by a spring, or supported by a spring, is one of the simplest mechanical oscillators, i.e., a system that performs oscillations. If damping is neglected, a body of mass m [kg] on a spring of stiffness ss [N·m−1] performs harmonic oscillations of natural angular frequency ω0 [rad·s−1] (1).
The spring characteristic is generally a curve expressing the dependence between the force acting on the spring and its elastic deformation. The area under the curve corresponds to the delivered work W [J] (3) required for a certain deformation of the spring or the accumulated potential energy E
p [J] of the loaded spring.
In order to verify the catalogue values [
33,
34] of the stiffness of rubber springs, a laboratory device was designed and constructed which allows for the measurement of the elastic deformation of rubber springs, which are called “silent blocks”, depending on the magnitude of the applied compressive force, using sensors [
35,
36] and positioning units with a digital indicator [
37]. This was carried out in a laboratory at the Department of Machine and Industrial Design, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava.
Figure 2 presents the first variation of the measurement of compression rubber spring characteristics. The bolt of the tested silent block 3 was attached to the sled of the positioning unit (long positioning table PT7312-PA [
37]) 4. The measurements were carried out on a total of eight types of silent blocks, made of NR/SBR rubber with a hardness of 55° shA, with the bolt having an M6 thread. Four silent blocks were of diameter D = 20 mm and lengths H
0 = 10, 15, 20 and 25 mm, while the remaining four silent blocks were of diameter D = 25 mm and lengths H
0 = 15, 20, 25 and 30 mm. The positioning unit 4 was attached to the steel frame 1 of the laboratory apparatus similarly to digital force gauge DST-220A [
35], with a measuring range of 0 ÷ 1000 N.
By manually rotating the locking bolt of the positioning unit 4 in the appropriate direction, the shank of the rubber spring bolt 3 was brought closer/farther away from the measuring surface of the digital force gauge 2. At the moment when the shank of the bolt of the rubber spring 3 reached the measuring surface of the digital force gauge 2, the digital indicator of the positioning unit 4 and the digital force gauge 2 were reset. By turning the locking bolt of the positioning unit 4, the sled was moved vertically by the desired amount Li [m]. The value of the applied compressive force Fcom,i [N] was read on the digital force gauge 2 for the compression value Li [m] (i.e., the length of the rubber spring Hi = H0 − Li [m]) of the rubber spring 3.
The procedure was repeated until the predetermined maximum compression
Li = L
i = L
max [m] of the rubber spring 3 was reached. By turning the locking bolt of the positioning unit 4 in the reverse direction, the values of the compressive force F
rel,i [N] at the compression value L
i [m] of the rubber spring 3 were measured on the digital force gauge 2. The values of the measured compressive forces by the digital force gauge 2 can be recorded using the Force Logger software [
38] and saved on a computer.
Figure 3 presents the second variation of measuring the characteristics of a compression rubber spring. Tension pressure sensor C9B-1kN 2 [
36] with a measuring range of 0 N to 1000 N was mechanically attached to the sled of the horizontally positioned positioning unit 4.
By manually rotating the locking bolt of the vertically positioned positioning unit 4 in the appropriate direction, the shank of the rubber spring screw 3 was brought closer/farther away from the measuring surface of the tension pressure sensor 2. Using the DEWESoft X2 SP5 software [
39], the signals of the measured quantity (pressure forces F
com,i [N]) were recorded, having been detected by the DEWESoft DS-NET measuring apparatus [
40]; see
Figure 4.
The cable of the tension pressure sensor C9B-1 kN—see
Figure 4—fitted with a D-Sub 9-pin plug, was connected to the DS NET BR4 module [
40]. The RJ45 connectors of the network cable connect the DS GATE module [
40] to a PC (ASUS K72JR-TY131) running the DEWESoft X2 SP5 software [
39].
The constructed laboratory device that allows detection of the magnitude of compressive forces acting on rubber springs is presented in
Figure 5.
4. Discussion
Rubber springs made of elastic material (rubber) are used for various mechanical applications because of their ability to be deformed and then return to their original shape. They can effectively absorb and dampen shocks or vibrations, making them suitable for use in automotive, machinery or conveying equipment where vibration needs to be eliminated.
The measurements of the compressive forces acting on the rubber springs presented in
Figure 6 and
Figure 7 confirmed that the rubber springs have a progressive characteristic [
42]. Progressive rubber springs [
43,
44] change their resistance to compression slowly at first and then more steeply, i.e., parabolically, with increasing load.
In
Table 1,
Table 2,
Table 3,
Table 4,
Table 5,
Table 6,
Table 7 and
Table 8, the stiffnesses of the rubber springs s
scom,i [N·mm
−1] ϕ20 mm and ϕ25 mm are calculated from the measured values of the compressive forces with the digital force gauge DST-220A acting on the rubber spring F
com,i [N] and its elastic deformation L
i [m] during compression.
From the measured values, the calculated arithmetic average of the spring stiffness ϕ20 mm and the unloaded length H
0 = 15 mm—see
Table 2—takes the value s
scom = 83.7 N·mm
−1. In Ref. [
34], it is stated that s
s = 94 N·mm
−1, which implies that s
scom [N·mm
−1] is 89.0% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ20 mm and the length in the unloaded state of H
0 = 20 mm, see
Table 3, takes the value s
scom = 80.8 N·mm
−1. In Ref. [
34], it is given as s
s = 52 N·mm
−1, which implies that s
scom [N·mm
−1] is 155.4% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ20 mm and the length in the unloaded state of H
0 = 25 mm, see
Table 4, takes the value s
scom = 48.6 N·mm
−1. In Ref. [
34], it is given as s
s = 50 N·mm
−1, which implies that s
scom [N·mm
−1] is 97.2% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ25 mm and the length in the unloaded state of H
0 = 15 mm, see
Table 5, takes the value s
scom = 135.9 N·mm
−1. In Ref. [
34], it is given as s
s = 183 N·mm
−1, which implies that s
scom [N·mm
−1] is 74.3% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ25 mm and the length in the unloaded state of H
0 = 20 mm, see
Table 6, takes the value s
scom = 87.9 N·mm
−1. In Ref. [
34], it is given as s
s = 120 N·mm
−1, which implies that s
scom [N·mm
−1] is 73.3% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ25 mm and the length in the unloaded state of H
0 = 25 mm, see
Table 7, takes the value s
scom = 71.7 N·mm
−1. In Ref. [
34], it is given as s
s = 108 N·mm
−1, which implies that s
scom [N·mm
−1] is 66.4% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ25 mm and the length in the unloaded state of H
0 = 30 mm, see
Table 8, takes the value s
scom = 57.3 N·mm
−1. In Ref. [
34], it is given as s
s = 75 N·mm
−1, which implies that s
scom [N·mm
−1] is 76.4% of s
s [N·mm
−1].
When measuring the stiffness of the actual stiffness values of rubber springs on laboratory equipment—variation 1—the largest/smallest stiffness deviation was obtained for a rubber spring with a diameter 25/20 mm and an unloaded length of H0 = 25 mm. Experiments have shown that the actual stiffnesses of rubber springs are lower compared to the values stated by the manufacturer, in the least favourable case, by 33.6%.
In
Table 9,
Table 10,
Table 11 and
Table 12, the stiffnesses of the rubber spring s
scom,i [N·mm
−1] ϕ20 mm and ϕ25 mm are calculated from the measured values of the compressive forces of the tension pressure sensor C9B acting on the rubber spring F
com,i [N] and its elastic deformation L
i [m] during compression.
The arithmetic average of the spring stiffness ϕ20 mm and the unloaded length H
0 = 15 mm calculated from the measured values, see
Table 9, takes the value s
scom = 83.3 N·mm
−1, and in Ref. [
34], it is given as s
s = 94 N·mm
−1, which implies that s
scom [N·mm
−1] is 88.6% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ20 mm and the length in the unloaded state of H
0 = 20 mm, see
Table 10, takes the value s
scom = 88.6 N·mm
−1. In Ref. [
34], it is given as s
s = 52 N·mm
−1, which implies that s
scom [N·mm
−1] is 121.0% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ20 mm and the length in the unloaded state of H
0 = 25 mm, see
Table 10, takes the value s
scom = 52.2 N·mm
−1. In Ref. [
34], it is given as s
s = 50 N·mm
−1, which implies that s
scom [N·mm
−1] is 104.4% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ25 mm and the length in the unloaded state of H
0 = 15 mm, see
Table 11, takes the value s
scom = 162.1 N·mm
−1. In Ref. [
34], it is given as s
s = 183 N·mm
−1, which implies that s
scom [N·mm
−1] is 88.6% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ25 mm and the length in the unloaded state of H
0 = 20 mm, see
Table 11, takes the value s
scom = 94.6 N·mm
−1. In Ref. [
34], it is given as s
s = 120 N·mm
−1, which implies that s
scom [N·mm
−1] is 78.8% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ25 mm and the length in the unloaded state of H
0 = 25 mm, see
Table 12, takes the value s
scom = 75 N·mm
−1. In Ref. [
34], it is given as s
s = 108 N·mm
−1, which implies that s
scom [N·mm
−1] is 96.4% of s
s [N·mm
−1].
The arithmetic diameter of the spring stiffness ϕ25 mm and the length in the unloaded state of H
0 = 30 mm, see
Table 11, takes the value s
scom = 65.3 N·mm
−1. In Ref. [
34], it is given as s
s = 75 N·mm
−1, which implies that s
scom [N·mm
−1] is 87.1% of s
s [N·mm
−1].
When measuring the stiffness of the actual stiffness values of rubber springs on laboratory equipment—variation 2—the largest/smallest stiffness deviation was obtained for a rubber spring with a diameter 25/20 mm and an unloaded length of H0 = 25 mm.
The difference in the measured stiffness values of rubber springs compared to the values specified by the manufacturer may be caused by repeated loading of the springs or “aging” of the rubber, as a result of which the rubber springs present a lower stiffness value.
The measured values given in
Table 1,
Table 2,
Table 3,
Table 4,
Table 5,
Table 6,
Table 7,
Table 8,
Table 9,
Table 10,
Table 11 and
Table 12 show that the stiffnesses of rubber springs s
scom,i [N·mm
−1] are lower (except for the rubber spring ϕ20 mm in length in the unloaded state of H
0 = 20 mm, see
Table 3 and
Table 10, and for H
0 = 25 mm, see
Table 11) than the stiffness values of rubber springs of identical dimensions given in Ref. [
34].
It is known that in the case of a linear spring, the resistance of the spring to compression increases linearly with increasing load. Progressive springs, which include rubber springs, first change their resistance to compression slowly with increasing load and then more steeply, i.e., parabolically. It follows that the stiffness of a progressive spring is not a constant, but changes (increases) depending on its compression.
It is therefore not possible to define the stiffness of a rubber spring as a constant, as is stated, for example, in Ref. [
45]. From the measured values of the compressive forces (linear data set) F
com,i [N] during compression of the rubber springs, linear trend lines were plotted in Microsoft Excel; see
Figure 8. The trend line is the function that best describes the data; it is a linear function, the graphical presentation of which is a straight line. The trend line function is found by the least squares method. It can be seen from
Figure 8 that the smaller diameter rubber springs (D = 20 mm) exhibit lower stiffness relative to the larger diameter rubber springs (D = 25 mm). It is also true that shorter length rubber springs have a higher stiffness than longer length rubber springs of the same diameter. Rubber springs of shorter lengths can be subjected to less maximum compression and more maximum load than rubber springs of a longer length of the same diameter.
Sensors applied to an actual working vibration machine are able to control its working activity or to control certain technical parameters to a certain extent. In the case of vibration machines, sensors can, for example, detect the load applied to the springs that support the trough/sorting screens. The correct operation of a particular vibration machine can be monitored automatically from the detection of spring stiffnesses determined precisely in advance in the laboratory (e.g., according to the procedure described in
Section 3 of this paper). In vibrating machines, the instantaneous values of the compressive forces acting on the springs can be measured during their working operations and the amount of conveyed/sorted material on the trough/sorting surface can be tracked according to the applied load.
Knowledge of experimentally obtained values of elastic deformations of rubber springs induced by applied compressive forces of known magnitudes is essential for the selection of rubber springs with optimal properties, which are used to dampen vibrations transmitted to the supporting parts of vibrating machines. By sensory monitoring of the pressure forces acting on the springs supporting the trough of vibratory conveyors—see
Figure 16—it is possible to analyse, diagnose and automate the working operation of vibration machines in practice.
When using a strain tensometric force sensor, the magnitude of the measured pressure forces was evaluated by the DeweSoft DS-NET system, which was connected to an ethernet LAN, so the measured data could be processed, analysed and stored by any computer on the network.
5. Conclusions
The need for research can be characterized by the fact that in many vibrating machines it is necessary to eliminate the magnitude of vibrations transmitted to the machine frames. The optimal choice of spring (spring stiffness) in vibrating machines has a fundamental influence on the magnitude of vibrations transmitted to the floor (subsoil) of the building. The spring stiffness can be obtained by measuring on the laboratory equipment described in this article. The methodology for determining the stiffness of rubber springs on the laboratory equipment serves as input data for the machine being prepared—a vibrating conveyor. On this conveyor, vibrations of the conveyor frame will be measured by a vibration sensor based on the measured (precise values) of the stiffness of the rubber springs. The measured vibration signals will be sent to a PC via a Wi-Fi router for their analysis and verification that the conveyor is operating in the optimal mode.
Measuring the characteristics of rubber springs is an important process that involves testing not only stiffness and elasticity, but also behaviour under long-term or cyclic loading, which is essential to ensure the reliability and serviceability of springs in various applications.
In this paper, the compressive forces acting on rubber springs during their compression were measured on laboratory equipment using sensors. The relationship between the force acting on the spring and its elastic deformation can be used as an input value for control, diagnosis and monitoring of vibrating machines. Vibrating machines in the form of vibrating conveyors or sorters, using an electromagnetic vibration exciter as the source of excitation force, transmit high frequency vibrations to the substrate. By supporting the trough of vibratory conveyors with rubber springs of suitable stiffness, these springs can capture the high frequency oscillatory motion and attenuate the noise due to the high self-attenuation capability of the rubber.
The measurements carried out in a laboratory at the Department of Machine and Industrial Design, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, confirmed the progressivity of the rubber springs. The progressivity of a spring can be defined by the fact that its stiffness increases with increasing compression of the spring; the characteristic of the spring is not a straight line but an exponential. It has been shown that at half the compression, a rubber spring has less stiffness than a steel coil spring.
This is an attempt to select the most optimal spring from the actual stiffnesses of the measured rubber springs and use it as a spring to support the trough of a laboratory vibrating conveyor, which uses a single-phase asynchronous vibration motor to excite the trough vibrations. On the vibrating conveyor used in the study, sensors detect and the DEWESoft DS-NET measuring instrument monitors the pressure force acting on a selected number (or all) of the rubber springs supporting the trough of the vibrating conveyor. The electrical signal obtained by the tension pressure sensor will be used as an input parameter (digital input) to administer the automated operation and control of the vibrating conveyor, which fits with the current trend of digitalization and related automation of production known as Industry 4.0.