## Embeddable Advanced Sensors for Harsh Environment Sensing Applications

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Shaoni Jiao, Jian Li, Fei Du, Lei Sun, Zhiwei Zeng, "Characteristics of Eddy Current Distribution in Carbon Fiber Reinforced Polymer", *Journal of Sensors*, vol. 2016, Article ID 4292134, 8 pages, 2016. https://doi.org/10.1155/2016/4292134

# Characteristics of Eddy Current Distribution in Carbon Fiber Reinforced Polymer

**Academic Editor:**Yinan Zhang

#### Abstract

The paper studies the characteristics of eddy current (EC) distribution in carbon fiber reinforced polymer (CFRP) laminates so as to guide the research and operation of eddy current testing of CFRP. To this end, an electromagnetic field computation model of EC response to CFRP based on the finite element method is developed. Quantitative analysis of EC distribution in plies of unidirectional CFRP reveals that EC changes slowly along the fiber direction due to the strong electrical anisotropy of the material. Variation of EC in plies of multidirectional CFRP is fast in both directions. The attenuation of EC in the normal direction in unidirectional CFRP is faster than that in isotropic material due to faster diffusion of EC. In multidirectional CFRP, EC increases near the interfaces of plies having different fiber orientations. The simulation results are beneficial to optimizing sensor design and testing parameters, as well as damage detection and evaluation.

#### 1. Introduction

Carbon fiber reinforced polymer (CFRP) has found wide applications, such as load-carrying structures in aircrafts, because of its outstanding performance [1–3]. Unfortunately, defects and damage are inevitable during its production and service in harsh environment, which deteriorates the performance of CFRP structures [4, 5]. Therefore, nondestructive testing (NDT) is important for guaranteeing the quality and reliability of CFRP structures. Considering its electrically conducting property, CFRP structures can be examined by eddy current testing (ECT) technique [6–9]. Among various NDT methods [10–14], ECT is advantageous because of its easy operation, single-side detection, low requirement of surface preparation, and applicability in harsh environment, as well as other properties [15]. Hence ECT has taken an increasing interest in the detection and characterization of defects in CFRP recently [16–18].

Studying the characteristics of EC is beneficial to understanding field/flaw interaction, optimizing probe, and testing parameters, as well as guiding testing operations [19, 20]. As CFRP is electrically anisotropic [16], the distribution of EC in CFRP must be different from that in isotropic material. It has been found that EC in CFRP induced by the excitation ac current in a circular coil flows in an elliptical shape [17, 18]. However, the phenomenon has not been quantitatively investigated. The paper studies the characteristics of EC distribution quantitatively and schematically. The research includes studying intraply distribution of EC and analyzing the attenuation of EC along the penetrating direction. In each case, characteristics of EC in both unidirectional CFRP and multidirectional CFRP are investigated.

The research is performed by numerical analysis. Section 2 presents briefly the simulation model and its validation. Section 3 studies the intraply distribution of EC. Section 4 investigates the attenuation of EC along the penetrating direction. Section 5 makes conclusive remarks.

#### 2. Numerical Simulation

An air-core coil above a stratified CFRP laminate is modeled, as shown in Figure 1. Two Cartesian coordinate systems, namely, the global system and the local system, are used to describe the directions of fibers in the plies. The origin of the global system () is at the center of the material surface. The local system () is defined in each ply where is parallel to the fiber direction, is also intraply but perpendicular to , and is along the normal vector of ply. The angle between the -axis and the -axis is the ply angle, denoted as . The conductivity tensor of specific ply in global coordinate system can be formulated as [18]where , , and are the conductivities along the , , and directions, respectively. S/m is a typical conductivity tensor of CFRP when [21].

The FE model for calculating EC response to CFRP structure is based on the , formulation whose governing equations are [22]where and stand for the reduced magnetic vector potential and the electric scalar potential, respectively. is introduced in (2) and (3). The CFRP laminate region () and the air region () including the current source constitute the whole solution domain. In (2)–(4), and are the magnetic vector potential and the magnetic field intensity in free space produced by the excitation current, respectively, is the permeability of free space, and is the angular frequency. The formulation has advantages of simple form and no requirement of meshing coil. For the details of the formulation and numerical implementation, please refer to [22]. After obtaining the solutions of the potentials, the coil impedance is calculated and the EC density is formulated aswhere is the sum of and .

The model is validated by comparing simulation result and analytical solution of the change of coil’s impedance due to EC, denoted as , in a unidirectional CFRP (). The coil has inner diameter of 8 mm, outer diameter of 12 mm, height of 1 mm, and lift-off of 1 mm, and the number of turns is 50. The carrying sinusoidal current has frequency of 10 MHz and current density of 10^{7} A/m^{2}. The coil and the excitation current are used throughout the paper. The test material is a plate of 200 mm × 200 mm area and 1 mm thickness. , , and are chosen to be 10,000 S/m, 100 S/m, and 100 S/m, respectively. The variation of versus coil lift-off is shown in Figure 2. The numerical results agree well with the analytical solutions [23], which validates the effectiveness of the FE code.

#### 3. Intraply Variation of EC

The distributions of EC in plies of unidirectional and multidirectional CFRP laminates are investigated in this section. All the CFRP laminates concerned here have eight plies and each ply is 0.125 mm thick.

##### 3.1. Intraply Variation of EC in Unidirectional CFRP

To study the effect of electrical anisotropy on the distribution of EC, EC densities with three cases of conductivities are computed. The conductivities () are () S/m, (10,000, 1,000, 1,000) S/m, and () S/m, respectively. The geometrical model of anisotropic material is shown in Figure 3. In these cases, the local coordinate system is position independent and is identical to the global coordinate system. Figure 4 shows the real parts of EC densities in the plane of the top ply. We can easily see that EC flows in a circular shape in the isotropic material, whereas EC in each of the anisotropic laminates is mainly along the direction of maximum conductivity.

**(a)**

**(b)**

**(c)**

The EC density reaches maximum at the points of , mm regardless of the degree of anisotropy, as can be seen in Figure 4. Figures 5(a) and 5(b) show the EC densities along the direction with and along the direction with mm, respectively. It is indicated that the effect of electrical anisotropy on the rate of change of EC along the fiber direction is more significant than that along the direction perpendicular to the fibers. The variations of EC along the fiber direction in the anisotropic materials are much slower than that in the isotropic material. This phenomenon results in strong edge effect when the coil is near a side perpendicular to the fiber orientation and weak edge effect when the coil is close to a side parallel to the fiber orientation. Therefore, when doing scanning testing, moving probe in the direction transverse to fibers will have small and consistent influence of edge effect. In addition, from Figure 5 it is seen that, under the same excitation, more degree of anisotropy of material results in weaker EC response. This phenomenon indicates that the excitation current needs to be enlarged to induce strong enough EC when testing anisotropic material.

**(a)**

**(b)**

##### 3.2. Intraply Variation of EC in Multidirectional CFRP

This subsection studies the intraply distribution of EC in multidirectional CFRP laminate. Four pieces of multidirectional CFRP laminates are used. The structures have laminate stacking sequences of [], [], [0_{2}/−45_{2}/90_{2}/45_{2}], and []. The subscript denotes the number of plies stacked successively with the same . All the fibers in the top plies of the materials are oriented with . Figure 6 illustrates the laminate structure of the material of [0_{2}/−45_{2}/90_{2}/45_{2}]. In the rest of the paper, , , and of CFRP laminates are 10,000 S/m, 100 S/m, and 100 S/m, respectively.

Figures 7(a)–7(d) show the distributions of EC in the 1st carbon ply (), the 3rd ply (), the 5th ply (), and the 7th ply () of the laminate of [0_{2}/−45_{2}/90_{2}/45_{2}], respectively. As is shown, EC flows mainly in the fiber orientation. Unlike the slow change of EC density along the fiber orientation in unidirectional CFRP, EC density in each ply of the multidirectional CFRP changes fast along fiber orientation. This is because EC in a fiber in a specific ply of multidirectional CFRP can change direction when it reaches the connecting point of the fiber and another fiber of different direction in an abutting ply.

**(a)**

**(b)**

**(c)**

**(d)**

Figures 8(a) and 8(b) show the EC densities along the direction with and along the direction with mm, respectively, in the top plies of the multidirectional laminates. The EC densities have similar rates of change along the direction, whereas the variations of EC along the direction in the multidirectional laminates are much faster than that in the unidirectional laminate. The more interfaces the multidirectional laminate has, the faster variation of EC along the direction is. As the distribution of EC in multidirectional laminate is compact in all directions, the influence of edge effect associated with multidirectional laminate is similar to that associated with isotropic material. Meanwhile the maximum values of EC density in the multidirectional laminates are larger than that in the unidirectional laminate, which can be explained by the extra EC paths as mentioned above and the reflection of EC on the interfaces of adjacent plies having fibers in different orientations in multidirectional laminates.

**(a)**

**(b)**

#### 4. Attenuation of EC in the Normal Direction

In order to study the attenuation of EC in the normal direction, the thicknesses of the test materials are increased to 10 mm such that EC has become very small before reaching the bottom. Correspondingly each ply is of 1.25 mm.

##### 4.1. Skin Effect in Unidirectional CFRP

The FE model remains the same as the one used in Section 3.1 except that the thicknesses of the materials and of each ply are increased and the conductivities are changed. The conductivities () of the three materials are () S/m, () S/m, and () S/m, respectively. Figure 9 shows the amplitudes of EC densities as functions of depth with and mm in the materials having various conductivity tensors. For each material, the EC densities are normalized by the value at the material surface. Obviously, the attenuation of EC in the anisotropic material is much faster than those in the isotropic materials; namely, the skin depth of EC in the anisotropic material is smaller than those in the isotropic materials, which is important for choosing testing parameters.

To understand Figure 9, the diffusion and cancellation of EC are studied. Suppose an infinitely long single straight wire carrying ac current is placed parallel to the surface of a conductor, as shown in Figure 10(a). The spread of EC in a plane parallel to the surface becomes wider with increasing depth of the plane, as illustrated in Figure 10(b), which is referred to as diffusion of EC. At certain depth, define spread width of EC as the distance of the two points at which the values of EC are of the peak value. Let and be the spread widths of EC in the surface and at depth of 2 mm, respectively. Their relative difference isLarger means faster diffusion of EC. If another infinitely long straight wire is placed parallel to the previous wire with the same lift-off and the currents in the two wires are in opposite directions, then the ECs induced by the wires will have 180° phase difference. Hence, their superposition results in the reduction of EC magnitude, which is referred to as cancellation of EC. Obviously faster diffusion of EC makes cancellation of EC more serious.

**(a)**

**(b)**

Simulation results show that the values of are 7.42%, 15.93%, and 26.28% for the samples having conductivities of () S/m, () S/m, and () S/m, respectively. We can conclude that faster diffusion of EC in the anisotropic material makes cancellation of EC more serious, which makes attenuation of EC along the depth direction faster than those in the isotropic materials.

##### 4.2. Skin Effect in Multidirectional CFRP

The multidirectional CFRP laminates used in Section 3.2 are utilized here for studying skin effect, with the thickness of each ply increased by 10 times. In a multidirectional laminate, the () coordinates at which EC densities reach maximum of different plies may be different. For instance, the () coordinates of maximum EC densities of the ply with and the ply with are , mm and mm, , respectively. For each multidirectional laminate, we pick up the maximum EC densities in every layer of the FE mesh in the laminate and normalize them by the value in the top layer. Figure 11 shows the normalized EC densities as functions of depth of the four multidirectional laminates. The normalized EC density function of the unidirectional laminate is also shown for comparison. The points of calculating EC densities are inside the plies. The attenuation of EC in the [] laminate is quite similar to that in the unidirectional laminate except that EC dramatically increases near the interface of the two adjacent plies having different fiber orientations, that is, the interface between the 4th and the 5th plies. The enhancement of EC near interface, for example, the interface between the 2nd and the 3rd plies, can also be easily seen in the attenuation curves of EC of the [] and [0_{2}/−45_{2}/90_{2}/45_{2}] laminates. In the [] laminate, there is only one peak in the attenuation curve of EC, because there are so many interfaces in the material and the increase of EC associated with an interface is largely affected by those associated with nearby interfaces.

It is concluded that the variation of EC in multidirectional laminate is different from that in unidirectional laminate due to extra EC paths and reflection of EC on interfaces and is affected by the stacking sequence of laminates. As the function of EC density versus depth is no longer monotonic, it is hard to define skin depth of EC in multidirectional CFRP.

#### 5. Conclusions

Study of the characteristics of EC distribution is critical for designing probe and selecting testing parameters as well as damage detection and evaluation. The paper conducts quantitative analysis of EC distribution in unidirectional and multidirectional CFRP laminates.

Firstly, we study the intraply distribution of EC. In unidirectional CFRP, EC varies slowly along the fiber direction and changes fast in the orthogonal direction, which results in different levels of edge effect on different sides of the material. In multidirectional CFRP, the distribution of EC is compact in all directions. Therefore, the edge effect in this case is akin to that associated with isotropic material.

Then the attenuation of EC in the depth direction is analyzed. In unidirectional CFRP, EC attenuates faster than in isotropic material due to faster diffusion. In multidirectional CFRP, EC attenuates at similar speed as in the unidirectional CFRP except that it is enhanced near the interface of adjacent plies having different fiber orientations.

The characteristics of EC distribution in CFRP presented in the paper are obtained with working frequency of 10 MHz. When the frequency is 1 MHz, the characteristics of EC distribution are similar to those at 10 MHz.

#### Competing Interests

The authors declare that they have no competing interests.

#### Acknowledgments

This work is supported by the National Science Foundation of China under Grant 51277154 and the Research Fund for the Doctoral Program of Higher Education under Grant 20120121110026.

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#### Copyright

Copyright © 2016 Shaoni Jiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.