The present disclosure relates to metasurface-based mode converting devices.
Microwave network theory is an essential tool in analyzing and designing microwave circuits. In his paper on the history of microwave field theory, Oliner argued that “it is in fact this capability of phrasing microwave field problems in terms of suitable networks that has permitted the microwave field to make such rapid strides”. In microwave networks, voltages and currents are defined at the network ports. Then, circuit theory or transmission-line theory is used to relate the voltages and currents at the ports to each other. The relation between the port voltages and currents of the network can be represented by a matrix. Several different matrices (network parameters) can be used to describe a given network. These matrices include the impedance matrix Z, the admittance matrix Y, the scattering matrix S, etc. However, depending on the analysis to be performed or application, some matrices are more suitable than others.
Network analysis has not only been used to solve microwave circuits. It has also been employed to analyze modal networks. In modal networks, the voltages and currents at the circuit ports are replaced by the modal voltages and the modal currents of the waveguide ports that represent the complex coefficients of the modes supported. Modal networks can be described by the same matrices used to describe microwave networks. As a result, modal network matrices and microwave network matrices share similar properties. For instance, a lossless reciprocal modal network is described by a modal impedance matrix Z that is symmetric and purely imaginary. The modal network formulation was originally developed to treat waveguide discontinuities in the context of the mode matching technique (MMT). By recasting the MMT solution into a modal network, a terminal description of a discontinuity can be obtained rather than a complete field description. A terminal description of a discontinuity corresponds to a modal network that only relates the modal voltages and currents of the accessible modes to each other. While the ports representing the inaccessible (localized) modes are terminated in their wave impedances.
Waveguide discontinuities can be classified into different classes. One particular class of problems, that has been studied extensively using the modal network formulation, is the waveguide junction. The properties of the modal scattering matrix S for waveguide junctions have been discussed in literature. It has been shown that the modal scattering matrix S is not always unitary unless all the modes considered are propagating. The modal admittance matrix Y has also been derived for waveguide junctions and equivalent circuit models constructed for isolated and interacting waveguide junctions.
This section provides background information related to the present disclosure which is not necessarily prior art.
This section provides a general summary of the disclosure, and is not a comprehensive disclosure of its full scope or all of its features.
In one aspect, a mode converting device is presented. The mode converting device is comprised of: a waveguide supporting electromagnetic fields therein and defining a longitudinal axis; and multiple electric sheets associated with the waveguide and configured to interact with the electromagnetic fields incident thereon. The electromagnetic fields are comprised of a set of modes and the multiple electric sheets operate to change at least one mode of the electromagnetic fields. Each of the multiple electric sheets is arranged transverse to longitudinal axis of the electromagnetic fields and parallel to each other. Each of the multiple electric sheets includes patterned features, such that dimensions of the patterned features are less than wavelength of the electromagnetic fields. Spacing between each of the multiple electric sheets is also less than or on the order of the wavelength of the electromagnetic fields. In some embodiments, spacing between patterned features varies across each of the multiple electric sheets.
Further areas of applicability will become apparent from the description provided herein. The description and specific examples in this summary are intended for purposes of illustration only and are not intended to limit the scope of the present disclosure.
The drawings described herein are for illustrative purposes only of selected embodiments and not all possible implementations, and are not intended to limit the scope of the present disclosure.
Corresponding reference numerals indicate corresponding parts throughout the several views of the drawings.
Example embodiments will now be described more fully with reference to the accompanying drawings.
In electromagnetics problems, boundary conditions are typically stipulated in the spatial domain. The Discrete Hankel Transform (DHT) allows boundary conditions in the cylindrical basis to be transformed from spatial to modal (spectral) domains, or vice versa, with simple matrix operations. Using the DHT, closed-form expressions will be derived for modal matrices. On the other hand, network analysis allows fields to be computed and propagated efficiently in the modal domain using simple matrix operations. Together, the DHT and modal network analysis are ideal tools for analyzing waveguide discontinuities. In this disclosure, they are both used to efficiently analyze metasurface in waveguide problems, and rapidly optimize metasurface designs.
Modal matrices (network parameters) are used to describe modal networks. These matrices are of the same form as those used in microwave networks or polarization converting devices. However, they relate modal quantities rather than circuit quantities or polarization states. Hence, the distinct name ‘modal matrices’. It is more instructive to define the modal matrices within the context of the problem at hand: the design of a mode converting device.
With reference to
Returning to
The modal network, depicting in
Ā
(p)=[a1(p),a1(p), . . . ,aN(p)]T (1)
(p)=[b1(p),b1(p), . . . ,bN(p)]T (2)
where N is the highest mode that is considered. The modal voltages (or, equivalently, the electric field modal coefficients) in region p, {tilde over (E)}n(p), can also be arranged into a vector as follows,
(p)=[{tilde over (E)}1(p),{tilde over (E)}1(p), . . . ,{tilde over (E)}N(p)]T (3)
The modal currents (or, equivalently, the magnetic field modal coefficients) in regionp, {tilde over (H)}n(p), can be similarly arranged into a vector,
(p)=[{tilde over (H)}1(p),{tilde over (H)}1(p), . . . ,{tilde over (H)}N(p)]T (4)
where, g(p) is a diagonal normalization matrix that takes the following form,
In (6), ηn(p) represents the modal wave impedance of the nth mode in region p.
Now, let's define the modal matrices that will be used throughout the disclosure. These modal matrices will be defined as block matrices, where each submatrix relates one of the vectors in (1), (2), (3), or (4) to another one. The reference planes of the ports (modes) are assumed to be at the two outermost sheets of the metasurface. Namely, just before y1(ρ) for modes in region 1, and just after y4(ρ) for modes in region 2 (see
The modal ABCD matrix relates the total (summation of incident and reflected) modal voltages and modal currents in one region to the modal voltages and modal currents in the other region,
The modal wave matrix M relates the incident and the reflected modes in one region to the incident and the reflected modes in the other region,
The modal ABCD matrix can be transformed to the modal wave matrix M using the following transformation,
The modal scattering matrix S relates the reflected modes in both regions to the incident modes in both regions,
Here, one can adopt the following convention for the S matrix,
where, for Skp(i,j) the subscripts k, and p denote the measurement and the excitation regions, respectively, and the superscripts (i,j) denote the measured and the excited modes, respectively. The M matrix can be transformed to the S matrix and vice versa, using the following relations,
where, I is the N×N identity matrix. It should be noted that all the aforementioned modal matrices are of the size 2N×2N.
Attention should be drawn to the fact that not all N modes, considered in (1) and (2), are detectable everywhere in a region. Some of these modes exist only in very close proximity to the individual electric sheets that compose the metasurface. These modes adhere to the sheet's surface and do not interact with adjacent sheets. This fact leads to the notion of accessible modes and inaccessible modes. For the individual sheets of the metasurface, shown in
Ports that represent the inaccessible modes should be terminated in their modal wave impedances, see
Ā
in
(1)=
in
(2)=
where, Āin(1) is a subvector of the vector Ā(1) that contains the inaccessible modes, and
where, skpaa is the submatrix of Skp that pertains only to the accessible modes. The reduced modal wave matrix M′ cannot be constructed by simply choosing the elements in the original modal wave matrix M that pertain to the accessible modes. Rather, the original modal wave matrix M should be transformed to the modal scattering matrix S using (12). Then S should be reduced to S′ using (16), and finally S′ transformed to M′ using (13). A similar procedure can be used to find the reduced modal ABCD matrix.
Metasurfaces are the 2D equivalent of metamaterials, since they have negligible thickness compared to the wavelength. Because of their low profile and corresponding low-loss properties, metasurfaces have been used in numerous applications over the last decade. Applications of metasurfaces include, antenna design, polarization conversion, and wavefront manipulation. Typically, metasurfaces are realized as a 2D arrangement of subwavelength cells. In practice, the cells are composed of a patterned metallic cladding on a thin dielectric substrate. The patterned metallic cladding can be homogenized as an electric sheet admittance. It is designed to have tailored reflection and transmission properties.
Unlike metamaterials, which are characterized by equivalent material parameters, metasurfaces are characterized by surface boundary conditions. These surface boundary conditions are referred to as GSTCs (Generalized Sheet Transition Conditions). The GSTCs can be derived by modeling the metasurface's cells as polarizable particles. The local dipole moments of the cells can be related to the local fields using polarizability tensors. Exploiting the equivalence between the dipole moments and surface currents, the following matrix form of the GSTCs can be obtained,
The vectors on the left side of (17) denote the surface currents at the metasurface, while the vectors on the right side denote the average fields across the metasurface. The 2×2 submatrices Y and Z represent the electric admittance and magnetic impedance of the metasurface, respectively. Likewise, the 2×2 submatrices X and Y represent the magnetoelectric response of the metasurface. For a reciprocal metasurface, Y=YT, Z=ZT, and X=YT. For lossless metasurface Re(Y)=Re(Z)=Im(X)=0. In the case of inhomogeneous metasurfaces, all the vector and matrix elements in (17) are written as a continuous function of space. It should be noted that this form of the GSTCs represents metasurfaces without normal polarizabilities.
In synthesis problems, the metasurface can be modeled either by a single bianisotropic sheet boundary condition, or as a cascade of electric sheet admittances. In the single bianisotropic boundary model, the metasurface is replaced by a fictitious surface that has, in general, non-vanishing submatrices Y, Z, and X. In the cascaded electric sheet model, the metasurface is modeled by a cascade of simple (readily realizable) electric sheets admittances (see
The cascaded electric sheet model is chosen rather than the idealized single bianisotropic boundary (GSTC) model for the following two main reasons. First, in the cascaded sheet model, the power normal to the metasurface only needs to be conserved globally for a lossless metasurface, not locally; whereas, in the bianisotropic boundary model, normal power must be conserved not just globally but also locally for a lossless metasurface. Indeed, the local power continuity condition across the single bianisotropic boundary unnecessarily restricts metasurface functionality. For instance, a reflectionless metasurface-based mode converting device has not been synthesized with a single bianisotropic boundary. However, such a device can be synthesized with the cascaded electric sheet model, as it will be shown below. The second reason is that the cascaded sheet model is more compatible with the physical realization of the metasurface. In most cases, metasurfaces are implemented as a cascade of patterned metallic claddings regardless of the synthesis approach used. This is due to the fact that such metasurfaces can be manufactured using standard planar fabrication approaches. The cascaded sheets are simply a homogenized model of this practical realization. An important benefit of the model is that it also accounts for spatial dispersion. This is in contrast to the single bianisotropic boundary which is a fictitious, local boundary condition. In summary, the single bianisotropic boundary model imposes additional constraints on the metasurface functionality compared to the cascaded sheet model, does not account for spatial dispersion, and complicates the practical realization of the metasurface.
In waveguide problems, it is more convenient to construct solutions in the modal (spatial spectrum) domain rather than the spatial domain, given that the spatial spectrum is discrete. As a result, the modal network formulation is regarded as a powerful tool for solving waveguide problems. Conversely, metasurface problems are best handled in the spatial domain, since boundary conditions representing the metasurface are typically given in the spatial domain. Consequently, an efficient method to go from the spatial domain to the modal domain and vice versa is essential to rapidly solving and optimizing electromagnetic problems that involve metasurfaces and waveguide structures.
In cylindrical waveguides, the Hankel transform and its inverse relate azimuthally invariant spatial and modal domains. Conventionally, the Hankel transform is computed using numerical integration. Computing the Hankel transform via numerical integration is computationally expensive, especially in synthesis problems. Alternatively, the Hankel transform can be approximated using the Discrete Hankel Transform (DHT). The DHT only utilizes discrete points in the spatial and the modal domains to accurately compute the Hankel transform and its inverse. It does this via matrix multiplications, which makes the DHT compatible with the modal network (matrix) description of the electromagnetic problems.
First, one can see how the spatial boundary condition of a single electric sheet admittance can be transformed to the modal domain via numerical integration. Consider a single electric sheet admittance placed perpendicular to the 2 axis of a cylindrical waveguide, as shown in
where, jn is the nth null of J0(⋅), and R is the waveguide radius, for the nth mode in region p, an(p) and bn(p) denote the forward and backward modal coefficients, respectively ηn(p) kzn(p) denote the TM modal wave impedance, and propagation constant, respectively. The TM modal wave impedance ηn(p) and the propagation constant kzn(p) take the following form,
The normalization factor is given by,
Let one assume that the electric sheet is placed along the (z=0) plane. Using (5), one can rewrite the fields tangential to the metasurface in (18a) and (19) as,
Considering only TM fields, the boundary condition (17) at the electric sheet admittance y(ρ), shown in
E
ρ
=E
ρ
(1)
=E
ρ
(2) (25)
J
ρ
8
=H
ϕ
(1)
−H
ϕ
(2)
=y(ρ)Eρ. (25)
Substituting (23) and (24) into (26) and only retaining the first N modes, one can write,
where {tilde over (J)}n is the modal coefficient of the surface current {tilde over (J)}ρs, and {tilde over (E)}n is the modal coefficient of the electric field Eρ. They are related to the modal coefficients of the fields in (23), and (24) as follows,
{tilde over (E)}
n
={tilde over (E)}
n
(1)
={tilde over (E)}
n
(2) (28)
{tilde over (J)}
n
={tilde over (H)}
n
(1)
−{tilde over (H)}
n
(2) (29)
Using the orthogonality of Bessel functions,
the surface current modal coefficients {tilde over (J)}n, can be related to the electric field modal coefficients {tilde over (E)}n as follows,
In (31), {tilde over (y)}m,n is the modal mutual admittance that defines the ratio between the mth modal coefficient of the surface current {tilde over (J)}m and the nth modal coefficient of the electric field {tilde over (E)}n. This mutual impedance {tilde over (y)}m,n is given by the following integral,
Note that (31) can be written in matrix form as,
{tilde over (J)}
where,
integrals to transform the metasurface boundary condition from the spatial domain to the modal domain. One can see that these integrals can be replaced by simple matrix multiplications using the DHT. This can significantly improve the computation efficiency of solving the metasurface in waveguide problems considered in this disclosure.
The Discrete Hankel Transform (DHT) is an accurate and simple tool to approximate the Hankel transform. In cylindrical waveguides, the Hankel transform is needed to calculate the modal coefficients of the fields. To illustrate this, consider the Bessel-Fourier expansion of the function f(ρ), that satisfies the condition f(ρ)=0, for ρ>R,
Note that, the expansion in (34) is the same as the modal field expansion of (23), and (24). The spectral (modal) coefficients ƒn are calculated by applying the Hankel transform to (34), and exploiting the Bessel functions orthogonality in (30), as follows,
Applying the DHT will simplify the expression in (35), since the DHT uses matrix multiplication rather than numerical integration. As the name suggests, the DHT utilizes only discrete points in space. These discrete points in space are labeled ρq. The discrete points pa are sampled in terms of the tangential fields nulls (J1 (⋅) nulls),
where, λi is the ith null of the function J1(⋅). The function values at theses points f(ρq) are related to the modal coefficients {tilde over (f)}n by the transformation matrices as,
where,
On the left side of the above two equations, the numbers between the parenthesis indicate the element index in the matrix. The transformation matrices satisfy the following relation,
i
ƒ
ƒ
i
=I (42)
where, I is the identity matrix, and
To derive the modal representation of the metasurface, shown in
where,
Note that the vectors
i
{tilde over (J)}
Using (42), (46) can be rewritten as,
{tilde over (J)}
Comparing (47), and (33), we deduce that {tilde over (Y)} can be written in closed-form as,
{tilde over (Y)}=
ƒ
i. (48)
It should be pointed out that the DHT form of the modal representation of the admittance sheet {tilde over (Y)} in (48) does not require any numerical integration. This is in contrast to (33) which requires at least
integrals. Therefore, the DHT form of the modal representation of the metasurface is more efficient in the analysis and the synthesis of metasurfaces within cylindrical waveguides.
As seen above, the boundary condition of a single electric sheet admittance y(ρ) can be efficiently transformed from the spatial domain to modal domain {tilde over (Y)} using the DHT. In this section, the goal is to use the modal representation of a single electric sheet admittance {tilde over (Y)}, derived using the DHT (48), to obtain the modal matrices of the metasurface consisting of cascaded electric sheets. Although, the metasurface shown in
Consider the electric sheet admittance yn(ρ), where the subscript n denotes one of electric sheets comprising the metasurface shown in
{tilde over (Y)}
n
=
ƒ
n
i (49)
where, the {tilde over (Y)}n is given by,
At the electric sheet yn(ρ), the modal coefficients of the surface current
{tilde over (J)}
(n)
={tilde over (Y)}
n
{tilde over (E)}
(n) (51)
Substituting (29) in (51), yields
{tilde over (H)}
(n)−
Given that the tangential electric field is continuous across the electric sheet admittance (25), one can write
{tilde over (E)}
(n)=
The equations (52), and (53) can be rewritten in matrix form as,
Comparing (54) to (7), one can see the modal ABCD matrix of the electric sheet admittance yn(ρ) is,
The modal wave matrix (M)yn(p) of the electric sheet admittance yn(ρ), can be obtained by applying (9) to (55). Such that
where, V=(g(n))−1g(n+1), and Q=g(n)
As was explained earlier, an evanescent mode in the reduced modal scattering matrix (S)′yn(ρ) can be regarded as an accessible mode, if the decay length of the mode is comparable to the separation distance, d, between the sheets. Therefore, the number of accessible modes Na for the individual electric sheets in the metasurface is typically larger than the number of the propagating modes Np.
The modal wave matrix of a metasurface consisting of cascaded electric sheets (M)MS is simply obtained by multiplying the modal wave matrices of the individual electric admittance sheets and the dielectric spacers between them [10]. Since inaccessible modes do not interact with adjacent sheets, the reduced modal wave matrices of the sheets (M)′yn(ρ) should be used instead of the original modal wave matrices of the sheets (M)yn(ρ). The reduced modal wave matrix of an electric sheet (M)′yn(ρ) is obtained from its reduced modal scattering matrix (S)′yn(ρ) by using (13). The modal wave matrix of a dielectric spacer (M)d(n) in region η with thickness d, takes the following form,
Now, one can write the modal wave matrix of the cascaded sheet metasurface shown in
(M)MS=(M)′y1(ρ)(M)D(2)(M)′y2(ρ) . . . (M)d(4)(M)′y4(ρ) (58)
To obtain the modal scattering matrix (S)MS from (M)MS, use relation (12). Note that, since the metasurface consisting of cascaded electric sheets is isolated in the waveguide, the number of the accessible modes for the overall metasurface Na is equal to the number of the propagating modes Np. Using (16), one can derive the unitary modal scattering matrix (S)UMS that only considers propagating modes.
In summary, the metasurface modal representation {tilde over (Y)}, derived by the DHT, was used to find the modal wave matrices (M)yn(ρ) of the individual electric sheets comprising the metasurface. Then, the reduced modal wave matrix (M)′yn(ρ) is derived by terminating the inaccessible modes. Next, the metasurface modal wave matrix (M)MS is constructed by multiplying the reduced modal wave matrices (M)′yn(ρ) of the individual sheets and the modal wave matrices of the dielectric spacers (M)(n)d. All the evanescent modes in (M)MS are terminated in modal characteristic impedances to derive the unitary modal scattering matrix (S)UMS. This matrix will be used to synthesize a metasurface-based mode converting devices.
Fields within a waveguide are uniquely determined by their modal distribution. Therefore, mode conversion in a waveguide is equivalent to field transformation. As a result, mode conversion can be of great use in antenna design, specifically antenna aperture synthesis. The metasurface-based mode converting devices proposed here are low profile, lossless, and passive devices that are designed to convert a set of incident TM0n modes to a desired set of TM0n reflected/transmitted modes within an overmoded cylindrical waveguide. Inspired by metasurface-based polarization converters, the metasurface-based mode converting device is synthesized using the cascaded electric sheet model of a metasurface. The number of the electric sheets in the metasurface is dictated by the mode converting device specifications. In the examples presented here, the metasurface comprises four electric sheets, (see
The metasurface-based mode converting device is synthesized using optimization. In the synthesis process, the admittances profiles of the electric sheets are optimized to meet performance targets: realize targeted entries of the desired metasurface's unitary modal scattering matrix (S)UMS. In other words, the metasurface is designed to convert incident modes to desired reflected/transmitted modes. In each iteration of the optimization routine, the metasurface's unitary modal scattering matrix (S)UMS is computed by following the procedure described above. The optimization of the metasurface is rapid due to the fast computation of metasurface's response within each iteration, enabled by modal network theory and the DHT. The sheet profiles are assumed to be purely imaginary functions to ensure that the metasurface is lossless and passive. Moreover, each sheet profile is assumed to consist of capacitive, concentric annuli here, which can be easily realized as printed metallic rings. The number of concentric annuli per sheet is dictated by the mode converting device specifications.
An incident spatial field distribution of the electromagnetic field incident on the metasurface of the mode converting device is defined at 121, where the incident spatial field distribution of the electromagnetic field is defined in spatial domain. Likewise, a desired spatial field distribution of the electromagnetic field exiting the metasurface of the mode converting device is defined at 122, where the desired spatial field distribution of the electromagnetic field is defined in spatial domain.
Next, the incident spatial field distribution of the electromagnetic field and the desired spatial field distribution of the electromagnetic field are converted at 123 from the spatial domain to a modal domain. In one example, the spatial field distributions of the electromagnetic fields are converted using a discrete Hankel transform although other transform techniques are contemplated by this disclosure.
Modal microwave network theory is then used to relate the input set of modes to those at the output through simple matrix operations as indicated at 124. Each reactance sheet of the metasurface, as well as the spacings between the sheets, are described with modal networks. The modal networks of the reactance sheets and spacers are then cascaded together to find the overall modal network of the metasurface. The overall modal network relates the input set of the modes to the output set of modes. Ports of the modal network represent input or output guided modes on both sides of a reactance sheet. Modal network theory accounts for the multiple reflections between sheets and the coupling of modes at the surfaces of the inhomogeneous (spatially-varying) reactance sheets.
Lastly, reactance profiles for each reactance sheet are determined at 125 through an optimization of the modal network. For example, a standard optimization routine, such as interior-point algorithm within the Matlab functions may be employed. The optimized reactance sheets are then realized, for example as metallic patterned features. These patterned features are designed through fullwave electromagnetic scattering simulations.
To illustrate the design process, two design examples at 10 GHz are outlined below. A single mode converting device is shown, as well as a mode splitter. The single mode converting device transforms an incident TM01 mode to a TM02 mode with 45° transmission phase. The mode splitter evenly splits an incident TM01 mode between TM10 and TM02 modes with 45° transmission phase for both modes. In both examples, an air-filled waveguide is considered. The waveguide radius was chosen to be R=40 mm=1.33λ. Both mode converting devices were synthesized using a metasurface comprising four electric sheets separated by freespace. The separation distance between the sheets was set to, d=0.2λ for the single mode converting device, and d=0.1λ for the mode splitter. Each electric sheet of the metasurface is a lossless, passive electric sheet admittance. Therefore, it can be represented by a radially varying susceptance,
y(ρ)=ib(ρ) (59)
where, b(ρ) is a real-valued function. The electric sheets are uniformly segmented into five capacitive concentric annuli, as shown in
where, b1 to b5 are all real positive numbers. Based on the waveguide radius, only the TM01 and TM02 modes are propagating. Consequently, the unitary modal scattering matrix of the metasurface (S)UMS is a 4×4 square matrix. According to (10), (11), and
The optimization cost functions to be minimized for the single mode converting device, F1, and the mode sputter, F2, can be defined as,
where, S(2,1), and S(1,1) are entries of the unitary modal scattering matrix of the metasurface (S)MS, as defined in (61). Using the interior-point algorithm within the built-in Matlab function fmincon, the susceptance profiles of the sheets were optimized to minimize the objective functions F1 and F2. The optimal susceptance profiles of the sheets are shown in
of the electric field computed using COMSOL Multiphysics (see
As noted above, designing an antenna is one application for metasurface-based mode converting devices. An example of a metasurface antenna with three multiport networks is shown in
From (3), the modal coefficients of the aperture can be written as,
where, Ī is the identity matrix, is a diagonal matrix contains the square root of the TM wave impedances of the modes. By substituting (3) and (2) into (1), can be found.
Next, the modal coefficients of the desired aperture (radial Gaussian beam aperture shown in
The Gaussian beam metasurface antenna is designed at 10 GHz. The antenna radius is chosen to be R=2.5λ, and the Gaussian beam waist is set to w=−R. Referring to
The reactance profiles of the electric sheets comprising the metasurface are plotted as a function of ρ in
The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms “a,” “an,” and “the” may be intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms “comprises,” “comprising,” “including,” and “having,” are inclusive and therefore specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order discussed or illustrated, unless specifically identified as an order of performance. It is also to be understood that additional or alternative steps may be employed.
When an element or layer is referred to as being “on,” “engaged to,” “connected to,” or “coupled to” another element or layer, it may be directly on, engaged, connected or coupled to the other element or layer, or intervening elements or layers may be present. In contrast, when an element is referred to as being “directly on,” “directly engaged to,” “directly connected to,” or “directly coupled to” another element or layer, there may be no intervening elements or layers present. Other words used to describe the relationship between elements should be interpreted in a like fashion (e.g., “between” versus “directly between,” “adjacent” versus “directly adjacent,” etc.). As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items.
Although the terms first, second, third, etc. may be used herein to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms may be only used to distinguish one element, component, region, layer or section from another region, layer or section. Terms such as “first,” “second,” and other numerical terms when used herein do not imply a sequence or order unless clearly indicated by the context. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the teachings of the example embodiments.
Spatially relative terms, such as “inner,” “outer,” “beneath,” “below,” “lower,” “above,” “upper,” and the like, may be used herein for ease of description to describe one element or feature's relationship to another element(s) or feature(s) as illustrated in the figures. Spatially relative terms may be intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as “below” or “beneath” other elements or features would then be oriented “above” the other elements or features. Thus, the example term “below” can encompass both an orientation of above and below. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
The foregoing description of the embodiments has been provided for purposes of illustration and description. It is not intended to be exhaustive or to limit the disclosure. Individual elements or features of a particular embodiment are generally not limited to that particular embodiment, but, where applicable, are interchangeable and can be used in a selected embodiment, even if not specifically shown or described. The same may also be varied in many ways. Such variations are not to be regarded as a departure from the disclosure, and all such modifications are intended to be included within the scope of the disclosure.
This application claims the benefit of U.S. Provisional Application No. 63/077,797, filed on Sep. 14, 2020. The entire disclosure of the above application is incorporated herein by reference.
Number | Date | Country | |
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63077797 | Sep 2020 | US |