6.1.1. Simulation of Bound State of Free Bodies
In rigid body dynamics simulations of MBS of two free bodies as a solution of two-body problem, it is first shown that a MBS configuration is stable under near equilibrium condition, then it is shown that the same configuration is also stable under non-equilibrium where distance between bodies varies with time. In both cases, kinetic energy is exchanged between bodies but energies of bodies are restored at the end of the cycle where bodies return to their initial positions. In these simulations, magnetic properties of bodies presented as point dipoles and basic torque and force equations between two magnetic moments (Equations (2) and (3)) are provided to the simulation configuration. In other words, simulation works independently from models and equations developed in this work. Basic configurations of simulations are taken from experiments presented in this section.
While it is relatively easy to obtain a bound state between a free body F (floator) and a rotating dipole R (rotator) constrained with a fixed axis, an additional condition is required for a rotating body having full DoF in order it anticipates the torque received from the other body. As stated in the previous section, a rotating magnetic moment
can be decomposed into a cyclic
and a static
moment. In the PFR model,
is responsible for repulsive action while the
provides the attraction and keeps the axis of the conical motion of the body be aligned to it or close to. As magnitudes of these moments vary with the tilt angle
γ of the rotating dipole (Equation (32)), it is needed to keep this angle in a range in order to obtain an equilibrium. When the motion of the
is symmetric about axis-
z, it can be also decomposed into a component
rotating orthogonal to
z and the other
aligned to
z. As the dynamics of the interaction forces bodies motions be synchronized (Equation (11)), that is they share the same azimuthal angle
ωT, the torques received by bodies become constant in magnitude. The torque of the
forces
to align parallel to it, with the axis-
z. In order to prevent this from happening (otherwise angle
γ will go to
π/2), this torque can be balanced by an inertial torque based on Euler’s equations of motion (Equation (20)). For this purpose, in experiments and in simulations about bound state of free bodies, the body embedding
(the rotator) needs to have a larger MoI in the axial direction. In detail, the rotator consists of a spherical dipole magnet housed inside of a non-conductive and non-magnetic ring (
Figure 41a). This ring ensures it rotates stably on the axis of the ring. The magnet is mounted with polar orientation having the angle γ
0 with the ring plane in order to have a static moment
which is needed for obtaining the bound state. As it is needed to balance the magnetic torque by the inertial torque on the rotator, this equilibrium is obtained when the ring plane gets the angle σ with the rotating plane. The expected motion of the rotator is a simple rotation on axis-
z while the ring plane has a constant angle with this axis. This is similar to a motion of a disk mounted to a shaft from its center but not exactly orthogonal. This motion consists of two rotations as
where the angle
σ is the deviation of rotator symmetry axis from the rotation axis and the shaft rotation along axis-
z is specified by
ωT. This way, the rotation matrix
RR reads
It can be seen that the third column of this matrix corresponds to the vector belonging to a circular motion of the unit vector aligned with the symmetry axis
z of the rotator. Euler’s equations of this scheme reads
Here
is
ωk and
denotes the angular acceleration which becomes zero. Terms
IA and
IR denote principal MoI of an axisymmetric body in axial and radial directions. This torque
should be provided externally in order for the rotator to perform the motion defined by rotation matrix
RR. In this equation, the inertial term is zero for a body having uniform MoI, therefore point out the motion has no harmonic motion character. The magnetic moment of rotator
can be defined as
where
is the magnetic moment of the rotator with respect to its symmetry axis. Here the sum
σ + γ
0 becomes the tilt angle
γ of rotator’s magnetic moment. This moment complies with its definition in Equation (30) by phase difference π. By applying same phase to floator magnetic moment
, the induced magnetic torque reads
Here the spatial vector
connecting these moments is assumed aligned with axis-
z by neglecting a small lateral offset introduced by circular motions of bodies around axis-
z evaluated in
Section 5.4.5. Since
and
have same unit vector, it might be possible to equalize these torques as
where
denotes an external torque might be present.
Figure 42a or Figure 53a corresponds to simulation instances of this equilibrium where magnetic moments are on the
xz plane. For a stability, the stiffness of the system against variation
σ should be positive. That is, in an equilibrium where also an extra torque
might be present, the sign of variation of the equilibrium angle by a small change of the extra torque should be the same of the torque variation. This requirement, based on Equation (127) can be expressed as
This equation gives good stability figures when other parameters are kept constant, but it actually the term
depends strongly on
σ due the equilibrium distance
r is based on forces where the attraction force between dipoles is proportional to sin (
σ +
γ0). By omitting angles
γ0 and
φ, the dependence of angle
σ can be derived as
Due to dependence between
σ and
r, in absence of
γ0, the attraction force can vary about by seventh power of inverse of the distance instead of fourth. Since PFR has also a similar power factor, stability of the equilibrium would be marginal, if not possible at all. Overall, variability of angle
σ is a negative factor for the stability and it is better to keep it as low as possible. As seen from Equation (129), this can be achieved by providing a large MoI in axial direction. In simulations, rotator’s MoI are chosen in order the angle
σ do not exceed angle
γ0, thus giving comfortable stability figures. This subject is further evaluated in
Section 6.3.
A fifth simulation is made by setting angle
γ0 to zero and by adjusting moments of inertia of rotator in order to obtain an equilibrium. In this scheme the angle
σ is responsible for the attraction force and this can be obtained regardless of polarity of the floator. That is
σ follows the sign of cos
φ. It was possible to obtain stable equilibrium in simulation and experimentally although delicate and called bipolar bound state of free bodies. This scheme is evaluated in
Section 6.3.
In cases where bodies perform symmetric motions around axis-z, the equilibrium of MBS in z direction corresponds to zero value of component-z of the force between dipoles in absence of an external force. The equilibrium should also cover lateral motions of bodies resulting in the vector connecting dipoles having a lateral component with constant amplitude.
While parameters satisfying equilibrium of MBS can be obtained from these equations, it does not give stability figures. In essence, all DoF in this problem are linked to inertial figures and to cyclic forces or torques in a complex parametric excitation system. This allows kinetic energy exchange between bodies in various ways. It is even more difficult to evaluate the stability with non-equilibrium initial conditions. For this reason, stability of MBS of free bodies is evaluated through simulations. For this purpose four simulations are made. In the first simulation, initial conditions are provided as close as possible to the equilibrium, the second, a moderate non-equilibrium condition and the third, considerably far from equilibrium where magnitude of forces varies by two orders of magnitude and torques varies more than four times. As a consequence, angles φ and γ vary by 500%.
In all simulations, initial conditions are set in order to obtain symmetric motions of bodies around the rotation axis (z) of the rotator. These consist of spatial vectors of bodies and their first time derivatives. Initial conditions of floators are selected in order they conform to the motion based on the rotation matrix defined in Equation (12) where spin velocity υS defined in Equation (81) is zero. Bodies are released with zero velocity in direction z and with tangential velocities of their predicted circular motions around axis-z. Second and third simulations are about releasing bodies at a distance in z direction longer than the equilibrium distance with zero velocity where they accelerate into each other by the attractive force, bounce back at a short distance by the repulsive interaction and reach zero velocity somewhere close to their release points. The fourth simulation is similar to the first except an offset about 1 mm is given between bodies in direction-y. Both simulations gave good stability figures.
In the first simulation (
Figure 41) which aims bodies keep their initial positions, the distance between bodies varies by 14 μm in direction
x and body recovers its initial position by an offset of 2 μm. For
x direction, the variation is about 1.5 μm and the initial position is restored. For
y direction, the variation is 3.2 μm, while the bodies are moved back to recover their initial position simulation end before this happens. Smallness of these motions should be considered as the distance between body’s centers is 24.51 mm. As expected, angles
φ,
γ and kinetic energies of bodies did not change. These results give the sign of stable equilibrium. It should be noted the initial conditions figures are provided by five digits of precision in general, but the initial angular velocity of the floator on axis-
y was off by 0.2% causing some small irregularities on
x and
y displacements. As there is no friction/damping in these simulations, effects of initial conditions do not vanish.
In the second simulation (
Figure 42), bodies are released with zero
z-velocity at distance 27.5 mm where the equilibrium position is 24.5 mm. This causes bodies run to each other, passing the equilibrium distance with a maximum velocity in
z direction as 0.146 m/s and bounce back at distance 22.7 mm (41.3 ms) and return their initial positions (84.37 ms) with a precision of 5 digits when their
z-velocity becomes again zero. In this course, tilt angles of bodies smoothly varies to accommodate varying forces and toques but also contains minor fluctuations. Despite forces are very sensitive to tilt angles and affect each other’s, these fluctuations did not caused instabilities and irreversible kinetic energy exchanges. On the other hand, there is a small kinetic exchange between bodies. While rotator kinetic energy is 700 mJ at the beginning, it drops to 698 mJ at the closest distance and recovered at the end of cycle. Floator starts with kinetic energy 0.57 mJ, this becomes 2.02 mJ at the closest distance and restored back at the end of cycle. By ignoring the small error of 0.5 mJ in this equation, these figures show there is about 2 mJ transferred from rotator to floator and taken back at the end of cycle. Despite fast rate of changes of forces and torques during this simulation covering only 13 rotations of bodies, stability is conserved and there was no apparent irreversible energy transfer.
The third simulation (
Figure 43) is similar to the second, except the releasing distance is 35 mm, about 10 mm farther than the equilibrium distance. In comparison, this offset is 3 mm in the second. This causes bodies to obtain a peak velocity about 0.32 m/s before and after the bounce while in the second it is 0.14 m/s. This increased velocity causes a shorter bounce distance, therefore to larger forces. This also increases time variation of the forces. In this case, the magnitude of time derivative of the force on the
xy plane
dFxy/
dT makes a peak of 121 N/s where it is 46 N/s in the second simulation. As these variations become larger, these have an effect on the motion of the body that can no longer be symmetric about axis
z. Once this happens, the translational part of the PFR becomes effective, that is, bodies get repelled in direction of their lateral offsets from origin. This is similar to the ponderomotive action. The net force bodies experience from this effect has also short range about two times shorter than magnetic forces between dipoles. The distance profile of the force-
z is similar to that of the second run. As the static components of magnetic moments are in parallel, this can balance the repulsion and keep the bound state at the equilibrium distance. Such an effect is visible in this third simulation where bodies gained an offset from axis-
z after the bounce. The effect is directly visible in force plots by introduction of oscillations which slowly vanish as bodies get separated. Components
x and
y of the floator velocity become negative in the last 15 ms of the simulation, indicating that bodies are going to restore their alignments with the axis-
z. On the other hand, quick changes in forces and torques may result in irreversible energy exchanges between bodies, therefore under repetition of these conditions (i.e., sharp bounce effects), the bound state should not be considered stable. In this third simulation, the bounce cycle resulted in an increase of distance by 32 μm corresponding to 0.1% change. Rotator angular velocity which is initially 857 rad/s, drops to 854 rad/s and recovers back to 856.87 rad/s at the end of the cycle corresponding to loss about 0.015%. However, this change and the variation in kinetic energy figures are too small to make a judgment.
In the fourth simulation, bodies accelerates into each other in order to close their offset-y equal to 1 mm. As floator is no longer on the axis-z, its conical motion becomes asymmetric, despite this, the stability is maintained and the equilibrium distance z remains almost same. Despite this simulation terminated before completing the cycle, it gave good stability figures. Basic configuration used in these simulations is follow:
Floator: A cylindrical axially magnetized NdFeB magnet with Br 1.2 T having dimensions ⌀10.94 × 9.48 mm, density 7.5 g/cm3, mass 6.6592 g, moments of inertia figures IA = 9.931 × 10−8 kg m2, IR = 9.95 × 10−8 kg m2, magnetic moment 0.84908 m²A.
Rotator: An assembly of a spherical dipole NdFeB magnet with Br 1.2 T with diameter ⌀16 mm, density 7500 kg/m3, magnetic moment 2.0437 m²A, housed centrally in a non-conductive and non-magnetic ring with inner radius 8 mm, outer radius 17 mm, height 4 mm, density 3000 kg/m3. The angle γ0 of the dipole with the ring plane 0.07 rad. Assembly has mass 0.024529 kg, moments of inertia figures IA = 1.905 × 10−6 kg m2, IR = 1.169 × 10−6 kg m2. Angular velocity = 857 rad/s.
The time profile of component-
z of the force
FZ also gives a clue about the mechanism of the kinetic energy exchange between bodies. While the distance between moments is constant, the conical motion of the floator is circular, resulting in a constant force. However, then this distance varies, this conical motion spirals as the angle
φ varies. This has an effect on the floator angular velocity according to Equation (17). The change occurs on the component
z of the velocity in accordance to this equation. As the initial angular velocities are recovered at the end of the cycle, this variation is reflected on azimuthal angle of the floator by a change of +0.4 rad in the second simulation and +0.7 rad in the third. Based on Equation (17), the norm (magnitude) of the vector
reads
Since motion of the floator is forced be synchronized with rotator (as a consequence of DHM) and by neglecting the variation of rotator angular velocity, the kinetic energy of floator reads
where
IF denotes uniform MoI of floator. This equation shows that the floator gains rotational kinetic energy by increase of the angle
φ while it approaches the rotator. On the other hand, the variation of might not be smooth. Simulations show small undulation of the force in this process which is translated to (modulation) of translational motion. This is mainly caused by small oscillations of tilt angles of the bodies, since these angles vary by the distance. While simulations did not exhibit a non-reversible energy exchange due these oscillations, non-reversibility cannot be basically ruled out. Since forces equally act to bodies, this also involves the motion of the rotator, in turn, this motion also contributes to the PFR through the lateral harmonic motion.
6.1.4. MBS Force Profiles and Design Notes
Under MBS, bodies find equilibrium in the geometry determined by the profiles of the attractive force and repulsive forces according to PFR model. While the repulsive interaction is present in any direction by the nature of PFR, attractive force profile varies with configurations. Therefore, zones where bodies find equilibrium can be primarily determined by the profile of the attractive force. Within a bound state where rotator is a dipole magnet, the tilt and shift schemes shown on
Figure 46 can generate static dipole fields (or virtual dipoles) for obtaining the attractive force. These fields have polar asymmetries in
z direction allowing a floator can find equilibrium on axis-
z. This scheme actually might allow two floators to be bound to a rotator at the same time at opposite positions on this axis-
z. It is also possible craft a static field geometry and cyclic field profile using two or more dipoles where floators can find equilibrium on radial positions like the realization shown on
Figure 32. This an interesting scheme where more solutions might be derived.
Figure 47 shows examples of realizations based on tilt scheme, (b) and (c) show its implementation. In
Figure 45, examples of tilt and other schemes are present.
There is a tradeoff between the strength and the gap length of a bound state. For applications, larger figures of both them may be desirable. These properties can be varied by varying the strength of the attractive field, however at expense of the other. An alternative way to improve the strength of the bound state by means of stiffness is altering the slope of the attraction force without reducing the distance. This can be done by increasing the distance between floator and of the static dipole while adjusting its strength in order to obtain the same attraction force at the same gap length (between floator and rotator). This method is used in experiments (
Figure 48 and
Figure 49a,b,d) by providing the attractive force by a magnet placed back of the rotating magnet. This also has a tradeoff as reducing the lateral stiffness limits its applicability. Additionally, asymmetries respect to axis-
z in realization at
Figure 48 are present which may be account for the extra stiffness on radial directions.
In realizations shown in
Figure 31b and
Figure 49c, the opposite is applied as placing the attractive magnet on the front. The effect of the offset of a dipole providing the attractive force is shown on the following. Here, the PFR force
FR is associated with a rotating dipole
DR which can be balanced by an attractive force either
F1 or
F2 (associated with dipoles
D1,
D2). By expressing these forces as function of the distance
r and following a normalization we can write
where terms
u and vs. denote the power factors of the repulsion and attraction forces which vary in range (−7, −8.5) for
u and (−3.5, −4.5) for
v, A denotes strength of
D2 relative to
D1 and the term
B the offset of the
D2 with
DR or
D1. By setting
,
F2 becomes equal to −1 at distance
r =1, same as
F1 and −
FR. On the other hand, the slope of the
F2 at
r =1 can be calculated as
when
a greater than unity,
b becomes positive, these dipoles align on axis-
z as diagram (
D2) −
B− (
DR) −
r − (
DF) where floator’s dipole is marked as
DF. For example, by setting vs. = −4,
a = 3, the offset
b becomes 0.316 and the slope of
F2 at
r = 1 becomes 3.04 while it is 4 for
F1 and −7 for
FR when
u = −7. Stiffness has opposite sign of the slope. Therefore, adding these stiffness terms, the total stiffness characterizing MBS with scheme
D1 becomes 7 − 4 = 3 and with scheme
D2 becomes 7 − 3.04 = 3.96. This corresponds to an increase of stiffness by 32%. This way a positive stiffness can be obtained even vs. and
u are equal, allowing a magnetostatic bound in reduced dimensions. This mechanism is used in a magnetic toy called “Inverter Magnet”.
6.1.5. Frequency Aspects of the Magnetic Bound State
Here, bound state of a free dipole body with a rotating dipole attached to a rotor is evaluated as its response to variation of rotor speed
ω. In this configuration, it is assumed the rotating dipole provides the static field required for the bound state in arrangement shown
Figure 46a. This is the primary scheme used in experiments and in simulations where PFR is balanced by the attractive axial force induced by the static field. Stability of the bound state can be evaluated through PFR model by a difference where the distance
r between dipoles is a motion variable instead of parameter. This issue is not trivial because variation of
r is accompanied with kinetic energy transfer through variation of angle
φ according to Equation (131) and as it is observed in simulations. Simulations also indicate that this kinetic energy transfer can be reversible when vArIATIon of
r IS Slow, but might not be otherwise. Actually, the effective variable is 1/
r since it enters equations this way. This points out that the kinetic energy transfer ratio is larger at shorter distances. Additionally, the stability criterion given at Equation (49) is not invariant to scaling of torques that body receives, as mentioned in above section and it may not be possible to obtain stable equilibrium at arbitrary short distances. According to the PFR model, the repulsive force is approximately inversely proportional to square of the rotator speed according to Equation (97). Under an equilibrium, repulsive force is balanced by the attractive force by setting
Fz = 0 in Equation (101). By adding the
ω dependency to this equation, the relation between distance and the rotator speed can be expressed as
By rounding the term (b − d) as 4.0, the equilibrium distance varies by inverse square root of rotator speed (). This equation and the result holds when the body is weightless. Otherwise, the term zero in the equation should be replaced by the weight of the body with a sign depending on whether the body hovers over or beneath the rotator.
While the stability range of
ω is determined by configurations, it is not difficult to design a configuration where
ω upper limit be at least twice of the lower limit. The dependency of this range on the body inertial figures can be based on the PFR model. In Equation (29), Equation (51) and many others, outcomes depend on
ω and the initial figures by term
ω2I, exclusively. This means the outcome is retained by varying
ω and
I while keeping the term
ω2I constant. Therefore, it can be said that rotation speed
ω depends on MoI
I by its inverse square root. MoI can be associated with a mass (m) or a volume (V) for specific shape for bodies having uniform density. This way it is possible to obtain a relation between MoI of a body and its magnetic moment such as
where term
a is a positive number corresponding to the scale factor of the object, term
X is the specification of the shape such as 1,W/L, H/L where symbols L,W,H, denote length, width and height. Function
f translates the scaled
X to a mass figure. It can be shown the scaling parameter
A can be moved out from the function. For MoI, within the same logic we can define a function
g(
X) which relates MoI
I to
X as
Functions
f(
X) and
g(
X) provide constant values since
X is the specification of the shape. For a body having uniform remnant flux density
, its magnetic moment m is proportional to its volume such as
Therefore, magnetic moment is proportional to the volume or the mass. The Equation (29) can be used to obtain the dependency of the rotation speed
ω to body mass by keeping the angle
constant. Since we want to keep the same rotator but adjust its speed to match to the floator’s scaling while keeping the distance between moments unchanged and by considering the proportionality of torque and magnetic moment, this can be written as
Since
is proportional (denoted by operator ∝) to
according to Equation (136), it can be eliminated from the equation, allowing to obtain a relation between floator mass and rotator speed as
This also shows that rotator speed and floator scale factor (
a) are reciprocal. For example, if rotator speed is chosen as 4000 RPM in trapping a spherical magnet of diameter 20 mm in air at a given distance
r, 8000 RPM is needed to obtain the same result for trapping a 10 mm diameter magnet at same distance. This holds because magnetic forces are also scaled in the same way and would also hold in presence of floator weight in the force equation since this is also scaled in parallel. This result coincides with the test result in
Section 5.4,
Figure 28.
Besides the stability criterion of PFR, low frequency resonances often occurs on MBS in all DoF, which can destabilize the system. These are likely parametric resonances fed by nonlinearity of the system. As the equilibrium position of the body within the cyclic field varies by the frequency therefore varying stiffnesses of the dynamics, resonance conditions varies by the operating frequency too. For this reason, unlike the PFR stability where there is no upper limit for operating frequency, this is not always true for MBS. Through experiments, it is observed that the MBS has a certain stability frequency range for a given configuration: First, MBS get destabilized in the lower limit in accordance with PFR stability. Secondarily, bound state becomes weaker as the frequency decreases, since the equilibrium point shifts into the weak field direction and may not tolerate external forces. Although, by increasing the attraction force within a limit, the weakness issue can be improved. About the upper limit of frequency range, it is observed that the body could be destabilized by increasing the frequency. Since the PFR strength is approximately inversely proportional to square of frequency, body finds equilibrium at shorter distances as the frequency increases in order to balance the attraction force which is almost independent from frequency. As magnetic forces and torques increase very fast by lowering the equilibrium distance, large dynamic forces and torques can stress the system, exploit nonlinearities and increase the kinetic energy of the floator, unfavorable for stability of the bound state.
Resonances are important factors to destabilize the bound state, especially on a system where damping is tried to be kept low as possible. Experiments show that a system can easily find resonances and escaping from resonances can be challenging. Addition to six DoF the floator has, the mechanical system belonging to the rotator can also have micro DoF, allowing vibrations feeding resonances. Resonance frequencies can also vary by operating parameters, some resonance observations suggested they followed the system driving frequency.