1. Introduction
Fiber-optic gyroscopes (FOGs) are rotation sensing devices utilizing Sagnac’s principle. They use phase difference between two counter traveling laser waves to compute the rotation motion of the body they are attached to [
1,
2,
3]. FOG sensors work on a similar principle to ring laser gyroscopes (RLGs); however, FOGs offer many advantages over RLGs, such as low cost, low weight, low power consumption, no precise machining requirement, no gas medium or leakage problems, and no vibratory mechanism to overcome lock-in problems at low rotation rates [
4,
5]. In recent decades, FOG technology has developed rapidly owing to advances in low-loss fiber-optic cables, light sources, and detectors used in the telecommunications industry [
1,
4,
6]. A FOG sensor is mainly composed of a light source, a coupler, a phase modulator, a photo detector, and, most essentially, a coil of fiber-optic cable [
3,
7,
8,
9].
In order to ensure the precision of a FOG sensor, maintaining the symmetrical loading for the clockwise and counterclockwise paths along which light travels is crucial for the performance. Due to the effects of thermal and mechanical stresses on a FOG coil, the refractive index of light differs in the fiber-optic cable causing an unsymmetrical loading difference between the clockwise and counterclockwise paths that light travels along, eventually resulting in a bias error at the sensor readout [
1,
10]. In the event of a time-dependent temperature gradient along the fiber, non-reciprocity bias errors known as the Shupe effect arise [
11]. As a solution to this problem, symmetric coil-winding methods are suggested [
12]. A commonly preferred method is the “quadrupole” winding pattern, yet other novel patterns and methods to overcome non-reciprocity errors are being studied in the literature [
13,
14,
15]. The errors due to temperature effects in a FOG sensor are able to be analytically modeled, and these errors can be compensated from the sensor output by employing proper algorithms [
16,
17,
18,
19,
20]. The utilization of the finite element (FE) method is an alternative approach to the analytical modeling of disturbance effects due to temperature variations on FOG coils [
21,
22,
23,
24,
25].
Mechanical loadings are as important as thermal loadings on the performance of FOG sensors. The success of a FOG sensor is related to low stress levels on the fiber-optic cable wound on the coil. There are studies in the literature that focus on addressing methods for reducing stress on FOG coils during the winding process [
8,
26,
27]. Other than winding processes, one source of stress in FOG coils is mechanical vibrations. Modeling and compensating the effects of mechanical vibrations has been the subject of certain studies [
28,
29,
30]. In order to reduce the vibration-based errors and identify the characteristics of the system, the FE theory has also been used to determine the resonance frequency of the structure to enhance the performance of FOGs [
31,
32]. FE modeling of the mechanics of rotations sensors is also utilized for RLG sensors as well as FOG sensors [
33]. Thanks to FE methodology, deflections and stress distributions on the sensitive parts of optical sensors working with the Sagnac principle can be computed accurately [
34,
35].
In the finite element analysis (FEA) of FOG coil conducted here, a meaningful section of the coil, including a single fiber with a fiber core, cladding, glue, and sections of neighboring cables, is modeled in an appropriate symmetry boundary condition to represent the global behavior of the coil material. This section is called the representative volume element (RVE) and a homogenization procedure is followed where the coil material properties are obtained from the RVE [
20,
22,
23,
25,
36,
37]. FOG coil is composed of a fiber-optic cable in a staggered formation glued to each other by adhesives in an orderly fashion. The fiber-optic cable is composed of a fiber core in which light travels and the fiber core is covered by protective cladding [
7,
8,
19,
22,
38,
39]. Since the coil structure is composite, the methods of homogenization for modeling the mechanical and thermal properties of composite structures also hold for the FOG coil, and in this study, such an approach is followed [
40,
41,
42,
43,
44,
45,
46,
47].
The studies that include an FEA of FOG coils mostly tackle thermal loading problems; however, a study in which the mechanical modeling of a FOG coil with the FE and RVE methods and the results verified using vibration testing is rare. In the literature, the computation of the orthotropic elastic properties of composite structures utilizing impact hammer modal testing and FE analysis has been addressed [
48]. In this study, the mechanical characterization of a FOG coil has been extracted by employing the RVE approach using FEA. With proper material properties, the RVE model of the FOG coil is established. Through the RVE model, obtained homogenized orthotropic elastic properties are used in a solid FOG coil FE model to calculate the natural frequencies and mode shapes of the coil. These vibrational properties of the FOG coil from the FEA are verified by the data obtained through impact hammer modal testing. For the modal testing, the coil structure is suspended using soft elastic rubbers to make free boundary conditions, the smallest possible accelerometers have been used to reduce the mass coupling effect, and the excitation is generated by an impact hammer attached to the automated modal test robot (MTR) in order not to make the coupling between the FOG coil and the exciter [
49,
50]. Moreover, an estimation model is proposed and tested against other coils with different dimensions. A different coil type is produced and tested, and the estimation of the FE model is verified by testing the new coil batch. It is important to point out that the verification of the homogenized material properties of FOG coils by means of impact modal testing is a novelty for the literature. In order to accomplish this, a scientific approach has been developed for a practical engineering problem. Thanks to this method, researchers have the opportunity to assess the dynamic behavior of a newly designed FOG coil prior to cumbersome testing processes. This complete multiscale modeling with experimental verification is a unique study for the literature.
FOG coil has been modeled to be perfectly symmetric, and with such structures, double modes are expected at the same frequency as two orthogonal mode shapes [
50]. Due to the nature of the quadrupole winding method, the jogging zone causes these twin modes to occur slightly separated, with the nodal lines of these modes being fixed. Using modal testing and a finite element analysis approach, a FOG model with verified orthotropic elastic properties is obtained.
There is a fiber optic coil which will be called Coil Type-1 in this study. Based on the existing gyro parameters of Coil Type-1, a research study started to develop a different grade product with a required total fiber length of 450 m, which will be named in this document as Coil Type-2 and have approximately half of the total fiber length of Coil Type-1. At this stage, the vibrational characteristics of the developing fiber-optic gyroscope need to be studied. The workflow of the study begins with creating the RVE model for the composite coil structure, which consists of the fiber, the coating layer of the fiber, and the adhesive applied between the fibers. The material properties are taken from the supplier datasets and the RVE parameters are then calculated in the sequence, as explained in
Section 3. After the modal tests for the Type-1 coil batch, the global FE model is created and the results are compared with the test results. The RVE parameters and the global cylindrical FE model are set, and from the global model of the Type-1 coil, the global model for the Coil Type-2 is established and the dynamic properties of the Type-2 coils are estimated. Later, the Type-2 coil batch is produced and the same modal test procedure is applied. The cylindrical global FE model for the coil structure uses the verified RVE parameters as input and the geometric features as parameterized properties to give the designer the freedom to decide on further design configurations based on the changing fiber length using the dynamic response of the coil. By fitting the FE model, the designer can decide on the geometric properties and materials that the coil support configuration should have for new coil structures.
The paper is organized as follows. First, in
Section 2, the material properties of fiber, adhesive, and coating are presented. In addition, the modal testing procedure is explained for each coil configuration. Next, in
Section 3, the computational framework of the RVE parameters are given for a unit cell. The modal test results for both coil configurations are discussed in
Section 4. The global FE analysis results are discussed in
Section 5. Finally, the conclusion of the work is presented in
Section 6.
2. Materials and Modal Test Methodology
The modal testing approach is utilized to analyze the composite coil structure for Coil Type-1 and Coil Type-2. The results of these modal tests will be discussed in
Section 4 for both coil configurations.
Regarding fiber material, the technical specifications are given in
Table 1. In addition, Epotek
® 330 is chosen as the coil adhesive due to its extremely wide application in gyroscopes and in aerospace industries. The coils are produced with the quadrupole winding method. The dimensions of the core, cladding, and coating parts are 6.5, 80, and 155 μm, respectively.
The geometric parameters of Coil Type-1can be seen in
Table 2. There are five identical coils with the same dimensions for the tests, and the results are the average values of the test batch (
Figure 1).
The aim of this experimental study is to collect data on the FOG coil in order to analyze the dynamic behavior of the coil and mode shapes of the composite coil structure. In impact hammer modal testing, the impact hammer and accelerometer time domain measurements are acquired simultaneously upon impact. The hammer provides an impact to the structure to excite the modes as an input, and a necessary and sufficient number of accelerometers collect the vibration acceleration data from the structure as an output. A frequency response function (FRF) is obtained by dividing the Fourier transform of the accelerometer data by the hammer data with respect to frequency. The FRF serves as a transfer function between excitation and response. With the help of a measured set of FRFs, one can obtain the natural frequencies, mode shapes, and damping ratios of a physical structure for a selected set of modes by a procedure called experimental modal analysis (EMA) [
49,
50]. In order to observe the mode shapes of the structure, a sufficient amount of reference points must be used for data acquisition. From FRF plots, the resonant frequencies of a structure can be spotted and the damping ratios can be deduced. The damping of the structure at the peaks in the FRF graph is proportional to the width of the peaks. The wider the peak, the heavier the damping. Tests are performed using the LMS SCADAS data acquisition system. Before the modal tests, eight locations are marked on the coils with 45-degree angles around the radial direction. Red dots show the hammer-hitting locations and the accelerometer positions (
Figure 1).
Tests are carried out in two stages, representing the hitting directions of the hammer to excite the structure in different directions to better uncover the modal shapes. In
Figure 2, both hitting directions can be seen when the impact hammer of the modal test robot is located in the hoop and the axial direction. In the modal tests, four one-axis accelerometers are placed on two axial and two rear (hoop) sides of the coil. Points are numbered from 1 to 8 on the coil substances by 45-degree intervals along the circumference of the coil. Point number 1 is the hammer location in the tests.
At the first stage, the impact hammer is placed on the rear (hoop) side of point 1, while the 4 accelerometers are located at points 1 and 5 at the hoop and axial directions (
Figure 2a). The accelerometers are then moved to points 2 and 6, points 3 and 7, and points 4 and 8, respectively. Next, the first stage of the modal test is completed by the fixed hammer location at the hoop side excitation.
At the second stage, the impact hammer excitation is generated from the axial side of the coils (
Figure 2b). When the hammer is placed at point 1, the accelerometers are placed at points 1 and 5 at the hoop and axial axis directions, and the moving accelerometer procedure follows as per the first stage.
The impact hammer triggers the mode shape of the structure in the same direction where it is excited, while the mode shapes of the other direction are not triggered enough, so the excitation must be given in two directions. Merging the data from each excitation test produces the best behavior for the coil samples if they are evaluated in the same basket. The mode shapes of these structures are displayed with this method.
Type-2 coils are produced with the same quadrupole winding method. The fibers used in the Type-2 coil batch are the same with Type-1 coil batch. The geometric parameters of Type-2 coils can be seen in
Table 3. There are five identical coils with the same dimensions for the tests, and the results are the average values of the test batch. The same two-stage testing process is also carried out for the Type-2 coil batch.
The tests are carried out with ICP-type single-axis mini PCB-Piezotronics accelerometers for all configurations. There are eight accelerometers available that have average actual sensitivities of approximately 5.2 mV/g. The data acquisition system has eight channel inputs, and one channel is reserved for the impact hammer, so there are seven channels left to the accelerometers. Therefore, one impact hammer and four accelerometers are used to carry out the tests. The structures acquisition module of LMS Test Lab software is used to process the acquired data (
Figure 3).
Fiber-optic coils are produced with the automated winding machine on a mandrel with two housing Teflon disks at both ends through the manual guidance of the technician to the fibers. Throughout the winding process, the adhesive between the fibers is applied with a brush, so the coils have small structural differences, causing slight dynamic behavioral differences for each coil. In order to minimize data collection errors, an automated modal test robot is used during the data acquisition process, and the excitation given to the structure is kept stable.
3. Finite Element Modeling
In this study, FEA is employed with an RVE approach in order to obtain the equivalent material properties of a fiber-optic coil wound by a quadrupole winding method. In order to establish the mechanical model, the material behavior needs to be identified. The classical representation of linear orthotropic elasticity states that 21 independent constants of the 6 × 6 stiffness matrix, as shown in Equation (1), need to be reduced from the most general anisotropic material to the real case:
The most general
matrix equation will be reduced to a particular class of anisotropy, i.e., orthotropy by using the invariance equations. The reduction of this matrix depends on the mutually orthogonal planes and the symmetry group of the condition. The equations are simplified in the matrix-vector notation. The solution requires Voigt tensor notation together with the invariance conditions. If there is a unidirectional composite with circular fibers arranged in a rectangular array, the elasticity tensor will not be aligned with the shear direction and the zero components of the stiffness matrix will not be zero anymore. Therefore, the normal stresses will induce shear strains. The unidirectional composite with circular fibers in a square array is the best example of this situation. In these materials, there is a single material direction, and in the planes that are orthogonal to this direction, the material is isotropic. In this kind of transversely isotropic linear elasticity case, the elasticity tensor has five independent coefficients (Equation (2)). The symmetry group contains all rotations around a given material direction:
It is known that the FOG coil is more flexible in the axial and radial directions where the adhesive matrix which stick the fibers together is more resistant in the hoop direction. The material properties of the FOG coil have three symmetry planes, as shown in
Figure 4. Therefore, the FOG coil exhibits cubic orthotropic properties.
In this study, an FE model is established using ABAQUS CAE software. The coil is taken as a composite structure. The model uses a homogenization method which is based on modeling the microstructure, and applies the technique to obtain the properties of the composite with the micromechanics method. In the FE model, a representative volume element (RVE) is created as a microstructure, and the global parameters of the composite coil structure are found by this local RVE analysis.
Firstly, the RVE model of the composite structure is a cross-sectional cut of the FOG coil and is considered to have cylindrical fibers of infinite length, which are filled with the adhesive. The cross-section of the structure is obtained by cutting with an orthogonal plane to the fiber axis. This representative section has a periodic microstructure, so it can be used in FE analysis as a three-dimensional RVE. Normally, parallel fibers with an adhesive reinforced structure show orthotropic material properties at the lamina level. In the cases where hexagonal arrays occur, the properties become transversely isotropic [
41].
The sample shown in
Figure 5 is an example cross-sectional model for the composite structure. This structure is similar to the coil fiber arrangement in real gyro applications.
In
Figure 6, the selected RVE can be seen from the global coil structure of the FE analysis.
The RVE selected in this study is shown in
Figure 7. The red color represents the glass sections, the beige color illustrates the coating of the fibers, and the green color shows the adhesive. The dimensions for the RVE are 266, 158, and 200 μm as the width (Y), height (Z), and depth (X), respectively, for the fiber introduced in
Table 1.
The body equation and the stiffness matrix for the structure shown in
Figure 7 is given in Equation (3) as:
After finding the components of transversely isotropic tensor C, the longitudinal and transverse Young’s moduli
and
, the longitudinal and transverse
and
and the longitudinal shear modulus
can be computed. In order to obtain the five elastic properties of the homogenized material given in Equation (3), the following equations can be used:
In addition, the shear modulus
can be calculated by:
Furthermore, the RVE should be subjected to displacement boundary conditions in order to obtain the overall elastic matrix
C in every direction. The determination of the elements for the
C tensor, the components of
, can be found one by one throughout the columns. The boundary conditions to find the elements of first column of tensor
C shows the displacement boundary condition in the fiber direction as:
The third column can be calculated from the first and second columns due to the transverse isotropy, but the components
for
= 1, 2, and 3 can be calculated by applying:
In the first three columns, a unity displacement boundary condition is applied in positive X, Y, and Z directions, respectively. The rest of the surfaces are subjected to symmetry boundary conditions.
In the fourth column, only the term is different from zero and can be calculated as mentioned above in Equation (9). Different from the first three columns, there is a symmetry boundary condition in the Z direction and a periodic boundary condition in the X direction. The displacement is applied from the +Y surface of the RVE cell in the direction of +X. In the fifth column, only the term is different from zero and is equal to term . In the sixth column (and in the fourth and fifth columns), the applied load is not symmetric, so the boundary conditions must be coupling type constraints, called tie constraints in the ABAQUS software. Thus, there is a symmetry boundary condition in the Y direction and a periodic boundary condition in the X direction. The displacement is applied from the +Z surface of the cell in the direction of +X.
It can be seen from
Figure 8a–c that applied boundary conditions for the calculation of the first three columns are also unity displacements of the RVE cell, according to Equation (3). For the fourth column, a periodic boundary condition is applied in the X direction, while there is a symmetry boundary condition applied along the Z direction. The displacement is applied in the direction of +X from the +Y surface of the RVE cell, as shown in
Figure 8d, to calculate the shear modulus value defined in Equation (9). The fifth and sixth columns shown in
Figure 8e are equal to each other, and they need a “tie constraint” boundary condition similar to the fourth column. In order to calculate the terms in the fifth and sixth columns, the displacement is applied from the +Z surface of the cell in the direction of +X. There is a symmetry boundary condition in the Y direction and a periodic boundary condition in the X direction.
A standard linear element type is used in the RVE cell model. In total, 24750 C3D8R elements are used in the RVE. The C3D8R element has eight node linear bricks and reduced integration with hourglass control. The degree of freedom of this element is 24. This element can be used in static deflection analysis [
51].
6. Conclusions
In this study, the dynamic responses of fiber-optic gyroscopes (FOGs) were studied through a multiscale modeling approach in comparison with experimental observations. Initially, a representative volume element was generated to obtain the macroscopic material parameters, including the influence of microstructure through a step-by-step approach with proper boundary conditions. The obtained parameters were used for the orthotropic material model, which was employed for the modal analysis of the FOG coil in ABAQUS software. The results were compared with the experimental findings and, after obtaining a satisfactory agreement, the approach was successfully applied for another FOG coil with a different fiber length, to increase the reliability of using such an approach for the analysis of FOGs in general. In this approach, a maximum error of below 10% between the results of FE modeling and modal tests was achieved. Moreover, the first natural frequencies of the structures were provided with an error less than 1%. Owing to this work, fiber-optic coils with different fiber lengths can be identified by means of the dynamic behavior for the estimation of coil support types and their effects on sensor performance. Pre-known coil mode shapes and their frequencies will provide information to the designer on whether they need to focus on a vibration rectification error (VRE) problem or not, even if the coil is not produced or tested at all. Therefore, the performance grade of the fiber-optic coil could be enhanced according to the needs of the platform.
In order to solve the complex orthotropic material behavior issue of the FOG coil, RVE-based multiscale analysis methodology was employed and the vibrational properties of multiscale FOG coils were obtained from both experimental modal analysis and finite element calculations. The novelty of the study is in the verification of the macroscopic material properties of the FOG coil obtained from the microstructure by means of vibration tests. Studies regarding the vibrational properties of composite materials are uncommon and, especially with regard to fiber-optic gyro sensors, an experimental modal analysis approach is rare in the literature. By using this procedure, more robust FOG designs can be achieved with regard to VRE problems.
The most important and valuable result of this study is that the dynamic behavior and support structure design requirements for FOG coils can be estimated and decisions can be made prior to the manufacturing and testing stages. Production and prototype testing costs may be reduced, or even totally avoided, with such global FE models for different geometric dimensions for the width or radius of coils that have different total fiber lengths. Hence, the designer can choose the available raw materials for coil supports and construct joint types between the support part and the coil part based on the geometry of the whole sensing assembly as a single complete sensing unit. The composite components of the coil and the coil support components are able to be combined in the same FE model for differing sensor grades.
The most complex and crucial part of the study is the coil due to its orthotropic nature. In this work, a comprehensive and experimentally verified model for a FOG coil has been established as a baseline study. The next stage of FOG sensor design is the simulation of the coil support together with the coil. As the coil support is mainly composed of isotropic materials, a straightforward simulation process that is less challenging can be used. As a future study, different types of coil support designs with different materials and geometries will be simulated with the FOG coil as a part of the sensor design.