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Linear modeling of elongated bending EAP actuator at large deformations

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This paper describes a linear dynamic model of an elongated bending Electroactive Polymer (EAP) actuator applicable with deformations of any magnitude. The model formulates relation of a) voltage applied to the EAP sheet, b) current passing through the EAP sheet, c) force applied by the actuator and d) deformation of the actuator. In this model only the geometry of EAP piece and four empirical parameters of the EAP material: a) bending stiffness, b) electromechanical coupling term, c) electrical impedance and d) initial curvature are considered. The contribution of this paper is introducing a model that can be used to characterize the properties of different EAP materials and compare them. The advantage of the model is its simplicity and ability to provide insights in to the behavior of bending EAPs. Additionally, due to linearity of the model, the real-time control is feasible. Experiments, using Ionomeric Polymer-Metal Composite (IPMC) sheet from Environmental Robotics Inc., where carried out to verify the model. The experimental results confirm the model is valid.
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Linear modeling of elongated bending EAP actuator at large
deformations
Indrek Musta, Mart Antonab, Maarja Kruusmaaac, Alvo Aablooa
a IMS Lab, Institute of Technology, Tartu University, Nooruse 1, 50411 Tartu, Estonia
bDepartment of Electrical & Computer Engineering,
Michigan State University, East Lansing, MI 48824, USA
cCenter for Biorobotics, Tallinn University of Technology,
Akadeemia tee 15A, 12618 Tallinn, Estonia
ABSTRACT
This paper describes a linear dynamic model of an elongated bending Electroactive Polymer (EAP) actuator applicable
with deformations of any magnitude. The model formulates relation of a) voltage applied to the EAP sheet, b) current
passing through the EAP sheet, c) force applied by the actuator and d) deformation of the actuator. In this model only the
geometry of EAP piece and four empirical parameters of the EAP material: a) bending stiffness, b) electromechanical
coupling term, c) electrical impedance and d) initial curvature are considered. The contribution of this paper is
introducing a model that can be used to characterize the properties of different EAP materials and compare them. The
advantage of the model is its simplicity and ability to provide insights in to the behavior of bending EAPs. Additionally,
due to linearity of the model, the real-time control is feasible. Experiments, using Ionomeric Polymer-Metal Composite
(IPMC) sheet from Environmental Robotics Inc., where carried out to verify the model. The experimental results confirm
the model is valid.
Keywords: EAP, IPMC, ICPF, modeling, characterization, linear, dynamic, large deformations
1. INTRODUCTION
Bending Electroactive Polymers (EAP) are materials that are able to bend in response to electric stimulation and vice-
versa [1]. Because of their unique shape, large deformation, and the simple construction, they offer new opportunities for
designing devices [2-5]. There are many types of EAP materials with different properties. Different applications have
different requirements. To compare EAP materials and choose the one best suited for given application we need a
scalable model of an EAP sensor/actuator, where the behavior of different EAP materials with specific mechanical
construction and actuation mechanism would be defined in the same terms.
The need of unified characterization and modeling techniques has been recognized before and some steps have been
taken in that direction [6], [7]. However, no scalable general purpose model has been presented so far.
Several researchers have worked on finding dynamic scalable models for different specific EAP materials [8], [9].
However, these models do not consider large deformations. We consider deformation of EAP sheet large, if the
deflection angle is greater than 90 degrees. A large deformation model is presented in [10], [11]. These models are static
and nonlinear. To the best of our knowledge, no linear, dynamic, and large deformation model has been presented so far.
In this paper linear, dynamic, large deformation universal model of an EAP actuator is presented. The actuator consists
of EAP sheet and a rigid elongation attached on top of it. The advantages of using elongation are listed in [11], [12]. The
model considers initial curvature of EAP and enables concurrently varying load and position. We characterize a sample
of IPMC and use the model to estimate the behavior of that sample.
2. THE PROPERTIES OF EAP MATERIAL
There are many different types of EAP actuators with different construction and actuation mechanisms [1]. In this
section four empirical parameters are introduced, which can describe the behavior of EAP material. The parameters are
independent from the geometry of the actuator.
2.1 Normalized bending stiffness
All EAP sheets bend in response to applied force moment. Lets denote change in curvature with kΔ and bending
moment with
M
. A bending stiffness is defined as
M
kΔ. The bending moment is proportional to the width of the sheet
w. In this paper, the bending stiffness is normalized with the width to describe the EAP material and is defined as
M
Bkw
=Δ⋅ . (1)
In the case of homogeneous material with Young modulus E and thickness d, the normalized bending stiffness can be
calculated from (2). An EAP actuator is usually made from a composite material. Even though, the material is not
homogeneous it can still be treated using (2), where E is the equivalent or effective Young modulus.
3
12
Ed
B
= (2)
EAP-s can also have viscoelastic properties. The viscoleastic properties of Conductive Polymers (CP) is addressed in [9],
[13].The viscoelastic properties of IPMC-s have been studied in [14], [15]. To account with viscoelasticity normalized
bending stiffness can be a function of frequency.
M
and kΔ may be then looked at as phasors in complex form.
2.2 Normalized electromechanical coupling
Although the actuation mechanisms of different EAP materials has dispersed physico-chemical background, applied
voltage generates a bending moment in the material. There are different models developed for CP-based actuators [16]
and IPMC-s [8, 17] We consider electrically induced bending moment e
M
to be proportional to the input voltage U. It
is reasonable to assume that e
M
is proportional to the width of the sheet w. The normalized electromechanical coupling
K
is defined as
e
M
KUw
= (3)
Electrically induced bending moment my be frequency dependant [8], [9]. Therefore, normalized electromechanical
coupling is a function of frequency.
2.3 Normalized electrical impedance
We simplify the model, so that the current
()
I
s through the material is proportional to the voltage
()
Us, where
s
is
complex frequency. It is reasonable to assume that
()
I
s is inverse proportional to the area
of the sheet. The
normalized electrical impedance is defined as
() ()
()
Us A
Zs
I
s
= (4)
The normalized electrical impedance is related to effective impeditivity
()
X
s of the material with thickness d as
follows:
() ()
X
s
Zs d
= (5)
2.4 Initial curvature
An EAP sheet may have an initial curvature. This can be caused by non-symmetrical manufacturing or treatment. Ionic
EAP-s may also have hysteresis because they contain one or more layers of porous materials [18]. The hysteresis in
IPMCs is studied in [19], [20].
3. THE MODEL
In this section we present a model to describe a bending EAP actuator.
3.1 The actuator
The actuator consists of a rectangular piece of EAP sheet in cantilever configuration. One end of the EAP sheet is
clamped and a rigid elongation is attached to the other end (see Fig. 1). The rest of the EAP sheet can bend while a
voltage is applied through clamps. No inertial nor friction forces are considered in our model.
free par t
of the EAP
sheet
rigid
elongation
fixed part
of the EAP
sheet
clamps for
electrical stimulation
of EAP sheet
force
acting on
the actuator
Fig. 1. Perspective view of the system.
3.2 Formulation of the task
Our model will formulate the relation of:
1) voltage applied to the EAP sheet,
2) current passing through the EAP sheet,
3) force applied by the actuator to resist the outer force acting on the actuator and
4) deformation of the actuator.
The model also considers the geometry of the actuator and properties of the EAP material as discussed in the previous
section. Please refer to Table 1 for notations for the parameters.
We denote force applied by the actuator
()
F
s. A force
()
F
s is applied to the actuator at a fixed distance from a point
located in front of the contacts. The point is called “joint of the EAP sheet” and would be exactly in the middle of the
free part of the EAP sheet in case of a straight sheet (See Fig. 2). The line segment between this point and the point
where the force is applied to is called arm of the actuator. The length of the arm is denoted as R. The deformation of the
actuator is defined by the angular deflection of the arm. The force applied by the actuator (force output)
()
F
s is always
perpendicular to the arm.
Table 1. Notations of the model parameters.
Type Meaning Notation Unit
Length of free part of the EAP sheet l m
Total length of the fixed part of the EAP sheet c
l m
Width of the EAP sheet w m
Dimensions
of the EAP
Actuator
Arm length of the actuator R m
Normalized bending stiffness of EAP
()
Bs
N
m
Normalized electromechanical coupling of EAP
()
K
s 1
NV
Normalized electrical impedance of EAP
()
Z
s 2
mΩ⋅
The parameters
of EAP material
Initial curvature of EAP 0
k 1
m
Angular deflection of the arm
()
s
α
rad
Voltage applied to the EAP sheet
()
Us V
Force output of the actuator
()
F
s
N
Signals
in frequency
Domain
Electric current passing through the EAP sheet
()
I
s A
free part
of the EAP
sheet
rigid
elongation
joint of
the EAP sheet
modeled as hinge
arm of
the actuator
Fig. 2. The geometric definition of parameters. This is the top view of the system. Please consider that the elongation is
close to but not strictly parallel to the arm.
In our model, we assume that the bending moment generated by the outer force, curvature, and all four parameters of the
free part of EAP sheet are uniform. In [21] it is shown, that IPMC actuator can be modeled as a hinge with joint in the
middle. The error of such approximation is calculated. The results can be easily extended to other bending EAP
materials. Based on that we may assume, that the radius of curvature of EAP sheet can be approximated as
()
l
s
α
.
3.3 Solution
In [11] it is shown that the mean bending moment caused by an external force is equal to the bending moment in the
center of the bendable section. That bending moment is approximately
()
RFs−⋅ . This gives us the opportunity to
utilize the theory in [11] for IPMC actuators with constant EIBM, which leads to the derivation of (6).
() () () () ()
0
skR
Us Ks Bs Fs
ls w
α

⋅= − +

 (6)
From (4) and taking into account that area of the sheet is
()
c
A
wll=⋅+ we get the electrical model of EAP actuator
()
()
()
()
c
I
sUs
wll Zs
=
⋅+ (7)
3.4 Inferences
From (6)
()
F
s and
()
s
α
can be revealed.
() () () () ()
0
sk
w
F
sUsKs Bs
Rls
α


=⋅





. (8)
() () () () ()
0
k
lR
sUsKsFs
Bs w s
α

=⋅+


(9)
From (7)
()
I
s and
()
Us can be revealed.
() () ( )
()
c
Us w l l
Is Zs
⋅⋅+
= (10)
() () ()
()
c
I
sZs
Us wll
=⋅+ (11)
4. THE EXPERIMENTS
In this section the system setup for the experiments is presented and details of implementation are discussed.
4.1 Experimental device
The experimental device consists of a rigid clamp with electrical contacts made of gold attached to an EAP test sample
(See Fig. 3). A light-weight rigid elongation made of PC and carbon fiber is attached to the opposite end of sample. The
free length of the sample can be freely adjusted by varying a length of EAP between the securing plates on the
elongation. An isometric transducer MLT0202 from AD instruments is softly attached to the elongation at a desired
distance. The strain is measured approximately perpendicular to the arm (and to the elongation) of the actuator. The
actuator is oriented so that it bends at the horizontal plane, therefore gravity does not affect the measurements. In our
system setup not the elongation but the clamp can be moved on a circular trajectory to achieve a desirable curvature of
the test sample.
The angle of the clamp is controlled via rotary solenoid actuator type GDRX-035. The voltage is applied to EAP through
1 resistor, and EAP current is calculated from resistor voltage drop. Input voltages for EAP and solenoid are input
signals of the system. The Strain, current, and solenoid position are outputs of the system. Input signals are generated
and outputs are measured using NI PCI-6036 data acquisition device connected to NI SC-2345 connector block. Inputs
are controlled and outputs read by NI LabVIEW [22] program.
Fig. 3. The system setup. Diagram of the system setup (a) and close-up of the actuator (b).
A series of experiments can be generated in such a way that one or more parameters are variables. The system stabilizing
and data acquisition minimum-time can also be specified. An average-cycle report is automatically generated after each
test cycle.
4.2 The EAP material used in experiments
A type of ionic EAP called Ionomeric Polymer-Metal Composite (IPMC) was used in the experiments. The sample was
purchased from Environmental Robots Inc.. Initially the sample was ionic-liquid based, but the solvent has been replaced
by water. All experiments were performed with the same IPMC sheet, where the width of the IPMC sheet was
19.0 mmw=, total length 12.2 mm
c
ll+= , and thickness 0.28mmd=.
The IPMC sample is plated with a thick platinum coating to minimize the effect of surface resistance.
In order to keep the hydration level constant, while avoid immersing the test instrumentation into the water, a
recirculation water pump (windscreen washer pump) system was used to wet the test sample (see Fig. 4).
Fig. 4. Photo of the System setup. To keep the hydration level of IPMC constant water is pumped on it.
4.3 Measurement methodology
In this subsection the methodology used to identify the parameters of the material and the experiments to verify the
model are discussed.
The parameters
K
and
Z
were determined by exciting the system with sinusoidal voltage input and measuring the
output force and current. The amplitude of voltage was 1.6 V. The frequency of the input signal ranged from 0.037 Hz to
25 Hz. The angle of the actuator arm was maintained at 0.
Our experiments are mostly done in 0–20 Hz range where the viscoelasticity is not significant [15]. Therefore,we may
only consider the static bending stiffness. It means that in our case the normalized bending stiffness is just a real-valued
constant
()
Bs B=. The parameters B and 0
k were determined by measuring the output force of the actuator at two
different deflection angles.
The experiments were carried out by varying free part and arm lengths. In case of each geometry also experiments at
random voltages, angles, and frequency were performed. The total time consumed for the measurements in each
geometry was about 40 minutes. All experiments were made at room temperature.
When the input signal starts, the system acquires a time to be stabilized. The stabilizing time on each
Z
and
K
measurement was 4 seconds or 1 period minimum, and measuring time was 6 seconds or 6 periods minimum. The
stabilizing time on each random experiment was 15 seconds or 1 period minimum,and measuring time was 8 seconds or
8 periods minimum. The stabilizing time on each B and 0
k measurement was 10 seconds, and measuring time was 4
seconds.
5. RESULTS
Experiments were performed to characterize the material described in section 4.2 and to verify the model presented in
section 3. Please see Table 2 for details about the different dimensions of the actuators used in series of experiments.
Note that the experiments with the first set of dimensions of the actuator are repeated at the end. In each series
normalized electromechanical coupling
K
and normalized electrical impedance
Z
were measured. Please see Fig. 5 for
plots of measured average parameters
K
,
Z
and standard deviation. The measured
K
,
Z
are coherent with the results
presented in [8].
In Fig. 6 the filtered averaged cycles of signals from 4.series are presented. The electrical model of IPMC is known to be
nonlinear [23]. Our results also show that there is a notable nonlinearity in the electrical response at low frequencies..
Table 2. The geometries used in different series of experiments.
Series l c
l wR
1. 6mm 6.2mm 19mm 35mm
2. 6mm 6.2mm 19mm 60mm
3. 8mm 4.2mm 19mm 35mm
4. 8mm 4.2mm 19mm 60mm
5. 6mm 6.2mm 19mm 35mm
(a) (b)
Fig. 5. Plots of transfer functions a) normalized electromechanical coupling and b) normalized impedance.
Fig. 6. Filtered averaged cycles of signals from 4. series.
In each series 24 experiments with random parameters were performed. The same set of randomly generated parameters
was used each time to make results comparable. The limits of the parameters are given in Table 3. Before each
experiment the parameters B and 0
k were measured – 24 times in each series. The normalized bending stiffness and the
initial curvature measurements are presented in Fig. 7. Eventhough, the same IPMC piece was used for all the
experiments in all series, B and 0
k vary notably.
The variation of the normalized bending moment can be explained by changes in the hydration process [24-27]. Using
(2) from the mean normalized bending moment 0.71mN mB=⋅ and thickness 0.28mmd=, the equivalent Young
modulus 388 MPaE= can be calculated. This is in the range of other equivalent Young modulus for IPMC reported in
the literature.
In Fig. 7 (b) initial curvature measurements are compared with angle amplitude before the measurements. There is a
strong correlation between changes in the angle and in the initial curvature. This can be explained by the hysteresis in
IPMC material [19-20].
Table 3. Limits of the parameters in random experiments.
Parameter Min Max
Voltage – direct component -0.01V 0.2V
Voltage – alternating amplitude 0V 1.57V
Deflection angle – direct component -15.1deg 24.4deg
Deflection angle – alternating amplitude 0 20.9deg
Frequency 0.0607Hz 27.8Hz
The expected values for the random test outputs according to input signal parameters and previously measured material
parameters were calculated on the basis of theoretical model and the result were compared to the measured output
values. The difference of corresponding signals was expressed as relative deviation - root mean square deviation divided
by mean root mean squares of signals. The relative deviation of the output force and current are presented in Fig. 8.
(a) (b)
Fig. 7. The normalized bending stiffness and initial curvature measurements. (a) normalized bending stiffness after
experiments and (b) initial curvature after experiments.
(a) (b)
Fig. 8. Relative deviation of (a) output force and (b) current.
6. CONCLUSIONS AND DISCUSSION
Actuators with different geometries were made using the same IPMC piece. For each geometry, parameters of the IPMC
material were measured. The variation in the normalized electromechanical coupling and normalized electrical
impedance were small. The normalized bending stiffness varied notably, but that can be explained with changes in the
hydration level. The noticeable variation in the initial curvature can be explained by hysteresis in IPMC. Experiments
with randomly selected parameters were conducted and the results were compared with the model prediction. Only a
small difference was found. We conclude that the model proposed in this paper is scalable and valid.
The electromechanical response of some IPMC actuators is known to be in nonlinear [28]. However no nonlinearity was
observed in electromechanical response of given IPMC sheet in the given frequency range. At the same time electrical
response was notably nonlinear.
Bending EAP actuators are know for large deformations and linear models for well established feedback control
techniques. Yet to the best of our knowledge no linear model for any bending EAP actuator that would enable large
deformations has been presented so far. In this paper such a model is presented and it is suitable for all bending EAP
actuators. In addition the model considers dynamic behavior, initial curvature of EAP and enables concurrently varying
load and position.
This model only holds when we consider all the parameters along the sheet to be approximately uniform. The bending
moments generated along the sheet by outer force can be considered uniform only if lR. Also in IPMC, the high
resistance of the surface electrodes can cause the voltage distribution on the sheet to be non-uniform [8, 25, 29, 30]. The
surface resistance also varies with curvature [31]. When the IPMC sheet is
1. sufficiently short,
2. surface conductivity is high enough, and
3. current is low enough,
electrically induced bending moment can be considered uniform along its length [11].
In the future for each type of EAP, the 4 empirical parameters should be modeled. At this stage, the normalized bending
stiffness and initial curvature had to be measured before every experiment. It is also if the changes in could modeled and
estimated. For the future applications, if inertial forces need to be considered, corresponding terms should be added to
model. Also electrical model should be improved to consider the nonlinearities. Many EAP actuators can be used as
sensors. A similar model that was presented in this paper for EAP actuators should be derived for EAP sensors.
ACKNOWLEDGEMENTS
The financial support by Tartu University Foundation and Estonian Science Foundation (grant #6765) is gratefully
acknowledged. We would also like to thank Anoosheh Niavarani for reading the text and giving us suggestions.
REFERENCES
[1] Bar-Cohen Y 2004 Electroactive Polymer (EAP) Actuators as Artificial Muscles: Reality, Potential, and Challenges
(Bellingham, WA: SPIE Press)
[2] Mart Anton, Andres Punning, Alvo Aabloo, Madis Listak, Maarja Kruusmaa, "Towards a Biomimetic EAP Robot",
in Proc. of TAROS 2004, "Towards Autonomous Systems Systems", University of Essex, 6.-8. Sept. 2004.
[3] A. Punning, M. Anton, M. Kruusmaa, A. Aabloo ,”A Biologically Inspired Ray-like Underwater Robot with
Electroactive Polymer Pectoral Fins,” IEEE Confrence “Mechatronics and Robotics 2004” (MechRob04); Aachen,
Germany; 13.–15.09.2004. Aachen: Eysoldt, 2004, (2), 241–245.
[4] E. Mbemmo, Z. Chen, S. Shatara, X. Tan, "Modeling of Biomimetic Robotic Fish Propelled by An Ionic Polymer-
Metal Composite Actuator," in Proceedings of the 2008 IEEE International Conference on Robotics and
Automation, Pasadena, CA, pp. 689-694, 2008
[5] Chen Z, Shen Y, Xi N and Tan X 2007 Integrated sensing for ionic polymermetal composite actuators using PVDF
thin films Smart Mater. Struct. 16 S262–71
[6] Bar-Cohen, Y., X. Bao, S. Sherrit, S. Lih, “Characterization of the electromechanical properties of Ionomeric
Polymer-Metal Composite (IPMC),” Proc. of SPIE, v 4695, p 286–293, 2002.
[7] Diego Fernandez, Luis Moreno, and Juan Baselga, “Toward standardization of EAP actuators test procedures,“
Proc. of SPIE 5759, 274 (2005), DOI:10.1117/12.599106
[8] Z. Chen, X. Tan, "A Control-oriented and Physics-based Model for Ionic Polymer-Metal Composite Actuators,"
IEEE/ASME Transactions on Mechatronics, Vol. 13, No. 5, pp. 519-529, 2008
[9] Y. Fang, X. Tan, Y. Shen, N. Xi, G. Alici, "A Scalable Model for Trilayer Conjugated Polymer Actuators and Its
Experimental Validation," Materials Science and Engineering C: Biomimetic and Supramolecular Systems, Vol. 28,
pp. 421-428, 2008
[10] Bao X, Bar-Cohen Y, Chang Z and Sherrit, Stewart 2004 Characterization of bending EAP beam actuators Proc.
SPIE Int. Soc. Opt. Eng. vol 5385 p 388–94
[11] Anton M, Aabloo A, Punning A and KruusmaaM 2008 A mechanical model of a non-uniform ionomeric polymer
metal composite actuator Smart Mater. Struct. 17 1–10
[12] Andres Hunt, Andres Punning, Mart Anton, Alvo Aabloo, and Maarja Kruusmaa, “A multilink manipulator with
IPMC joints,” Proc. SPIE 6927, 69271Z (2008)
[13] Seong-Hun Song, Kang-Min Park, Woo-Sik Kim, Sang-Mok Chang, Analysis of the characteristics of
electrochemically polymerized polypyrrole films by using QCA and AFM, Materials Science and Engineering: C,
Volume 24, Issues 1-2, 14th Molecular Electronics and Devices Symposium, 5 January 2004, Pages 225-227, ISSN
0928-4931, DOI: 10.1016/j.msec.2003.09.066.
[14] Newbury K and Leo D J 2003 Linear electromechanical model of ionic polymer transducers—part I: model
development J. Intell. Mater. Syst. Struct. 14 333–42
[15] Newbury K and Leo D J 2003 Linear electromechanical model of ionic polymer transducers—part II: experimental
validation J. Intell. Mater. Syst. Struct. 14 343–57
[16] Gursel Alici, Brian Mui, Chris Cook, Bending modeling and its experimental verification for conducting polymer
actuators dedicated to manipulation applications, Sensors and Actuators A: Physical, Volume 126, Issue 2, 14
February 2006, Pages 396-404, ISSN 0924-4247, DOI: 10.1016/j.sna.2005.10.020.
[17] Choonghee Jo, Hani E Naguib and Roy H Kwon, "Modeling and optimization of the electromechanical behavior of
an ionic polymer–metal composite," Smart Materials and Structures, Vol. 17, pp. 065022 (13pp), December 2008
[18] J. Carmeliet and K. Van Den Abeele, “Mesoscopic approach for modeling the nonlinear hysteretic response of
damaged porous media in quasi-static and dynamic loading: Effects of pressure and moisture saturation,” in
Proceedings of the 4th International Conference on Fracture Mechanics of Concrete and Concrete Structures, 2001.
[19] Z. Chen, X. Tan, M. Shahinpoor, "Quasi-static Positioning of Ionic Polymer-Metal Composite (IPMC) Actuators,"
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Monterey, CA, pp.
60-65, 2005
[20] Chul-Jin Kim, Hyun Woo Hwang, No-Cheol Park, Hyun-Seok Yang, Young-Pil Park, Kang-Ho Park, Hyung-Kun
Lee, and Nak-Jin Choi “Preisach modeling of IPMC-EMIM actuator” Proc. SPIE 6927, 692725 (2008)
[21] Mart Anton, PhD thesis “Mechanical modeling of IPMC actuators at large deformations” [supervisors: Maarja
Kruusmaa, Alvo Aabloo, Jan Villemson ; Faculty of Mathematics and Computer Science, University of Tartu,
Estonia] Tartu : Tartu University Press, c2008, 123 p
[22] http://www.ni.com/labview/
[23] Bonomo C, Fortuna L, Giannone P, Graziani S and Strazzeri S 2007 A nonlinear model for ionic polymer metal
composites as actuators Smart Mater. Struct. 16 1–12
[24] Characterization and dynamic modeling of ionic polymer-metal composites (IPMC): artificial muscles Ashwin
Mudigonda and Jianchao J. Zhu Proc. SPIE 6168, 616815 (2006)
[25] Nemat-Nasser S andWu Y 2003 Comparative experimental study of ionic polymer–metal composites with different
backbone ionomers and in various cation forms J. Appl. Phys. 93 5255–67
[26] Newbury K 2002 Characterization, modeling, and control of ionic polymer transducers Dissertation Virginia
Polytechnic Institute and State University
[27] Porfiri, M., 2009: "An electromechanical model for sensing and actuation of ionic polymer metal composites",
Smart Materials and Structures, 18(1), 015016
[28] C. Kothera, Characterization, Modeling, and Control of the Nonlinear Actuation Response of Ionic Polymer
Transducers. PhD thesis, Virginia Polytechnic Institute and State University, September 2005.
[29] Punning A, KruusmaaM and Aabloo A 2006 Surface resistance experiments with IPMC sensors and actuators
Sensors Actuators A 133 200–9
[30] Shahinpoor M and Kim J K 2000 The effect of surface-electrode resistance on the performance of ionic polymer–
metal composite (IPMC) artificial muscles Smart Mater. Struct. 9 543–51
[31] Punning A, Anton M, Kruusmaa M and Aabloo A 2006 Empirical model of a bending IPMC actuator Proc. SPIE
6168 61681V
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... The following industrial revolutions have been recorded in the world: the first industrial revolution that occurred with the invention of a steam engine in 1784, the second industrial revolution that occurred with the discovery of electricity in 1870, and the third industrial revolution that occurred with the application of the IT system and the Internet in 1986. Today we are in the fourth industrial revolution, which is presented by systems such as smart robots, self-automated vehicles, smart factories, 3D printing, artificial intelligence, and cyber security, as shown in Fig. 1 [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. ...
Chapter
The world has gone through three industrial revolution so far and each of these industrial revolutions is the result of revolutionary innovations. In the first industrial revolution, a steam engine was invented that provided mechanization, in the second industrial revolution, a revolutionary innovation was electric power, and the third industrial revolution came as a revolutionary innovation in the information technology and the Internet. The fourth Industrial Revolution-Industry 4.0, which is in progress today in the world, is taking place through the introduction of Internet of Things and Internet of Services into the production processes and the complete environment in and around the industry. Industry 4.0 will provide networking of machines in production processes and logistic systems in a global environment in the form of the Cyber-Physical System (CPS). Implementation of Industry 4.0 leads us to intelligent manufacturing processes, intelligent machines, intelligent logistics, and will exchange information and control amongst themselves in order to improve production processes. The foundation of Industry 4.0 is Robotics and Automation, Intelligent Sensors, Cloud computing, 3D Printing, RFID, etc. This paper analyzes the implementation of industrial and service robots in production processes, as well as the trend of innovations in the process of developing intelligent sensors.
... Figure 9 shows an exemplary scheme view of the ''Industry 4.0'' application in the manufacturing process in the industry. Fig. 9. Scheme of the ''Industry 4.0'' application in the manufacturing process in industry [12][13][14][15][16][17] Based on Figure 9, we see that in every production process, regardless of the industry, the most important components in the manufacturing process are innovation, efficiency, agility and risk. In regard to commercial innovations, where it is necessary to mobilize employees and supervisors to access knowledge wherever they are, which is enabled by the mobile devices that are already in an industrial environment, most of the commercial innovations will be applied in the manufacturing processes of the industry. ...
... Definition of the characteristics of the manufacturing process in ''Industry 4.0''[13][14][15] ...
Chapter
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The fourth industrial revolution or Industry 4.0 is already present around us, but the concept itself is not widespread. The implementation of Industry 4.0 will improve many aspects of human life in all segments. The implementation will initiate changes in business paradigms and manufacturing models, which will be reflected on all levels of manufacturing processes, as well as supply chains, including all workers in the manufacturing process, managers, cyber-physical system designers, and end-users. We are witness to big changes in all industry branches, with new business methods, product system transformation, consumption, delivery and transportation emerging, owing to the implementation of new technological discoveries that include: robotics & automation, Internet of Things (IoT), 3D printers, smart sensors, Radio Frequency Identification (RFID,) etc. The implementation strategy of Industry 4.0 is to enable the adjustment of industrial production to complete intelligent automation, which means introducing self-automation, self-configuration, self-diagnosis and problem-solving, knowledge and intelligent decision-making. On the other hand, there are many challenges in the coming period, such as issues of changing business paradigms, legal issues, resource planning, security issues, standardization issues, and many other. We must point out that the success or failure to implement Industry 4.0 lies in the hands of all participants in the production chain, from the manufacturer to the end-users.
... In particular, we consider short beams of IPMC (or other soft actuation materials) that drive light, relatively rigid, passive links to enable underwater locomotion. Comparing to mechanisms based solely on movement of long IPMC beams, the proposed approach has several advantages: 1) with the link amplification effect, an active IPMC joint can produce large movement at the end of the link [16]; 2) it is more energy-efficient since the power consumption of an IPMC is approximately proportional to its surface area; and 3) the behavior of a short IPMC is less unpredictable and easier to control [17] . While the snakelike robot in [14] used IPMC to manipulate styrene foam links to produce undulatory body motion, long IPMCs were adopted. ...
Conference Paper
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Soft actuation materials, such as ionic polymer-metal composites (IPMCs), are gaining increasing interest in robotic applications since they lead to compact and biomimetic designs. In this paper, we propose the use of soft actuation materials as active joints for propelling biomimetic robotic fish. An analytical model is developed to compute the thrust force generated by a two-link tail and the resulting moments in the active joints. The computed joint moments can be combined with internal dynamics of actuation materials to provide realistic kinematic constraints for the joints. Computational fluid dynamics (CFD) modeling is also adopted to examine the flow field, the produced thrust, and the bending moments in joints for the two-link tail. Good agreement is achieved between the analytical modeling and the CFD modeling, which points to a promising two-tier framework for the understanding and optimization of robotic fish with a multi-link tail. We also show that, comparing to a one-link bending tail, a two-link tail is able to produce much higher thrust and more versatile maneuvers, such as backward swimming.
Conference Paper
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The principal technological development in the world has been recorded with the three industrial revolutions. We are currently at the very beginning of the fourth industrial revolution (some authors call it "evolution"), which Germans named ''Industry 4.0" and officially published at the Hannover Fair in 2011. In brief, ‘’Industry 4.0’’ is nothing more than the integration of new technologies including information and communication technologies, network communications, large collection of data and cloud computing, modeling, virtualization and simulation, and improved tools for interaction between people, machines, computers and associates, all integrated in the Cyber-Physical Systems (CPS). The foundations of the Fourth Industrial Revolution include cloud computing, robotics and automation, smart sensors, 3D printing, and radio frequency identification (RFID). The introduction of ‘’Industry 4.0’’ in the textile and clothing industry is expected in the following areas: flexible manufacturing, increased productivity, increased product quality, and customer co-operation in order to increase sale of the finished products. Some of the above-mentioned innovative technologies are already represented in the textile, as well as in the clothing industry. We can argue that one part of ‘’Industry 4.0’’ has already been implemented in these two technologies. The paper presents a wider opportunity to represent ‘’Industry 4.0’’ in the textile and clothing industry, with the purpose of being implemented in textile companies that aim to be competitive on the global market. Keywords: industry 4.0, automation, robot, textile industry, clothing industry.
Chapter
From the very knowledge of Industry 4.0, its implementation is carried out in all segments of society, but we still do not fully understand the breadth and speed of its implementation. We are currently witnessing major changes in all industries, so new business methods are emerging. There is a transformation of production systems, a new form of consumption, delivery, and transportation, all thanks to the implementation of new technological discoveries that cover robotics and automation, the internet of things (IoT), 3D printers, smart sensors, radio frequency identification (RFID), etc. Robotic technology is one of the most important technologies in Industry 4.0, so that the robot application in the automation of production processes with the support of information technology brings us to smart automation (i.e., smart factories). The changes are so deep that, from the perspective of human history, there has never been a time of greater promise or potential danger.
Chapter
From the very knowledge of Industry 4.0, its implementation is carried out in all segments of society, but we still do not fully understand the breadth and speed of its implementation. We are currently witnessing major changes in all industries, so new business methods are emerging. There is a transformation of production systems, a new form of consumption, delivery, and transportation, all thanks to the implementation of new technological discoveries that cover robotics and automation, the internet of things (IoT), 3D printers, smart sensors, radio frequency identification (RFID), etc. Robotic technology is one of the most important technologies in Industry 4.0, so that the robot application in the automation of production processes with the support of information technology brings us to smart automation (i.e., smart factories). The changes are so deep that, from the perspective of human history, there has never been a time of greater promise or potential danger.
Poster
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Recently the awareness of the demand on eco-friendly dyes in textile applications is increased, since the natural dyes can reveal better biodegradability and generally have a higher compatibility with the environment. This study was conduct on the natural dyes of Crocus Sativus (saffron), growing in Dumre (Elbasan Region). As a natural dye, saffron petals are used in this study for dying cellulosic (cotton) and proteinic (wool) yarns. A series of dyeing were done with the dye extracted from these petals, using two different concentrations of the dye and two types of mordants. Also different method of mordanting like pre, meta or post mordant method are used. The mordant effect on hue, light, wash fastness and perspiration of dyed cotton and wool yarns was investigate as key properties for technical and commercial success. A wide range of shades were obtained because of varying mordant and combinations, from light yellow to light brown. To determinate the amount of the color absorbed by fibres was measured absorbance and transmittance from the solutions taken from each dyeing process. The color fastness properties of the saffron dyed samples are analysed and evaluated based on standard methods, where the washing and perspiration fastness of the dyed samples were assessed giving fair to excellent fastness grades. The results taken give us information on which process of dying and mordant used provides good color fastness. These are helpful information for the use of saffron flowers as a natural dye in textile industry.
Conference Paper
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Use of natural dyes has increased several folds in the past few years due to the eco-friendly approach of the people. In this paper we present the experimental results of a dyeing process of cotton fabrics with natural colouring matter extracted from Crocus Sativus (saffron). The natural dye was extracted by aqueous method at boiling conditions. Two mordants Fe2(SO4)3 and Al2(SO4)3 were used in pre-mordanting, post-mordanting and simultaneous-mordanting methods. Cotton fabrics were dyed with colouring solutions of 2.5% and 5%, first without mordant and then with mordant. The color of cotton fabrics dyed without mordant and with mordant was estimated and was observed that the intensity of color varies. It was pointed out, that the best colouring of the sample was in simultaneous-mordanting process. To see the amount of colouring solution that has been absorbed by sample, absorbance was measured for extracts obtained from dyeing process in each case and was observed that the simultaneous-mordanting process gives the best results compared to other processes. Also it was found that Fe2(SO4)3 was the best mordant for cotton fabrics in case of dyestuff 2.5% and Al2(SO4)3 was for dyestuff 5%.
Conference Paper
This paper reports the synthesis of an electroactive polymer actuator in polypyrrole (PPy) on a polyvinylidene difluoride (PVDF) substrate. The technological development is detailed. This study reports our investigation on a tri-layer PPy actuator for large deformations and comparison with literature modeling. We also investigate their use towards real applications by introducing lifetime measurement, encapsulation and closed loop control.
Article
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The mechanoelectrical properties of a supercapacitor-like ionic electroactive polymer laminate with carbide-derived carbon-based electrodes are investigated using a special rig, which bends the laminate following a well-defined bending profile. The bending device is characterized by homogeneous and sinusoidal changes in curvature in a wide frequency range (1 mHz–3 Hz), and very high curvature amplitudes (up to ±121 m−1). During bending, the curvature of the laminate remains uniform. The parameters recorded during bending include the generated voltage, electric current and charge. The results show a nonlinear frequency response of the tested material in the whole investigated frequency range. Electric current and charge are found to be directly proportional to the area of the bent laminate, and are therefore advantageous for motion sensing.
Article
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An ionic polymer–metal composite (IPMC) consisting of a thin perfluorinated ionomer (usually, Nafion or Flemion) strip, platinum, and/or gold plated on both faces and neutralized by a certain amount of appropriate cations undergoes large bending motion when, in a hydrated state, a small electric field is applied across its thickness. When the same membrane is suddenly bent, a small voltage of the order of millivolts is produced across its surfaces. Hence IPMCs can serve as soft bending actuators and sensors. This coupled electrical–chemical–mechanical response of IPMCs depends on the structure of the backbone ionic polymer, the morphology and conductivity of the metal electrodes, the nature of the cations, and the level of hydration (or other solvent uptake). We have carried out extensive experimental studies on both Nafion- and Flemion-based IPMCs in various cation forms, seeking to understand the fundamental properties of these composites, to explore the mechanism of their actuation, and finally, to optimize their performance for various potential applications. The results of some of these tests on both Nafion- and Flemion-based IPMCs with alkali-metal or alkyl-ammonium cations are reported here. Compared with Nafion-based IPMCs, Flemion-based IPMCs with fine dendritic gold electrodes have higher ion-exchange capacity, better surface conductivity, higher hydration capacity, and higher longitudinal stiffness. They also display greater bending actuation under the same applied voltage. In addition, they do not display a reverse relaxation under a sustained dc voltage, which is typical of Nafion-based IPMCs in alkali-metal form. Flemion IPMCs thus are promising composites for application as bending actuators.
Article
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The IPMC-EMIM actuator is an improved IPMC actuator to replace the water by stable ionic liquids (1-ethyl-3-methylimidazolium trifluoromethanesulfonate ([EtMeIM][TA])). Just as a general IPMC actuator which uses the solvent of water has hysteresis, so do the IPMC-EMIM actuator exhibits hysteresis like other smart materials such as piezoceramics (PZT), magnetostrictive materials, and shape memory alloys (SMA). Hysteresis can cause it to be unstable in closed loop control. The Preisach Model has been used to model the hysteretic response arising in PZT and SMA. Noting the similarity between IPMC-EMIM and other smart materials, we apply the Preisach model for the hysteresis in the IPMC-EMIN actuator. This paper reviews the basic properties of the Preisach model and confirms that the Preisach model of IPMC-EMIM actuator is possible.
Article
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This paper describes preliminary experiments with an EAP (electroactive polymer) robot. The research reported here serves two purposes. First, we aim at building a testbed to investigate control methods of EAP actuators. Second, we wish to build an underwater robot that mimics undulating motions of pectoral fins. The prototype described in this paper has two pectoral fins. The tests confirm that the fins are able to generate thrust and move the robot forward. The mechanical design of the fins is reliable but the results largely depend on the properties of the electroactive polymers.
Article
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Electroactive polymers (EAP) are attractive actuation materials because of their large deformation, flexibility, and low density. The large deformation, especially in the bending mode, poses a challenge to the material and actuator characterization due to the geometric nonlinearity that is developed during the characterization. A CCD camera system was constructed to record the curved shapes of bending during the activation of EAP films and image-processing software was developed to digitize the bending curve s. A computer program was written to solve the inverse problem of cantilever EAP beams with a tip position limiter. Using the program and acquired curve images with and without a tip position limiter as well as the corresponding tip force, the performance of the beam under different applied voltages and tip force loads was determined. The experimental setup and the principles of the computer program are described and discussed in this paper.
Article
A series of experiments are performed to assess the validity of an equivalent circuit model of ionic polymer transducers. The fundamental parameters of the model are the dielectric permittivity of the material, the viscoelastic modulus, and the effective strain coefficient of the transducer. The results demonstrate the validity of a simplifying assumption regarding the reflected impedance of the polymer. This allows us to use a simpler set of expressions to predict the time and frequency response of the polymer. The expressions for sensing and actuation are verified in a series of step response and frequency response tests of cantilevered transducers. The curvefit algorithm used for parameter identification works well but there is always a tradeoff in accuracy between the time domain and frequency domain measurements. This could imply the existence of an input-level dependence on the parameters. In spite of this level dependence, the linear model is able to predict the response of an input-output pair that is independent of the parameter identification. This result supports the validity of the linear model. Experimental results also support the use of a reciprocal model in which each expression for actuation has a dual expression for sensing. Scaling experiments verify the predictions of the model with respect to changes in transducer length and width.
Article
A linear electromechanical model is developed for ionic polymer materials. The model is based on an equivalent circuit representation that is related to the mechanical, electrical, and electromechanical properties of the material. Expressions for the quasi-static and dynamic mechanical impedance are derived from beam theory. The Golla-Hughes-McTavish model of viscoelasticity is incorporated into the model to include effects due to a rate dependent modulus. Similar to previous research, the electrical impedance is modeled as a series combination of resistive and capacitive elements. The major contribution of this work is the derivation of an electromechanical coupling term that is related to an effective bending strain coefficient. This parameter is also frequency dependent to model the low-frequency relaxation that has been measured in certain ionic polymer materials. The resulting linear electromechanical model is based on the measurement of the effective permittivity, elastic modulus, and effective strain coefficient. All input-output relationships related to sensing and actuation can be derived using these three material parameters and the transducer geometry. This model also emphasizes a reciprocity between sensing and actuation that has not been discussed before in relation to these materials. The result of this work is a comprehensive model that enables the design of devices and material systems that incorporate ionic polymer materials as either sensors or actuators.
Article
This paper deals with the characterization and dynamic modeling of the behavior of two types of the Ionic Polymer Metal Composite (IPMC) "artificial muscle" materials. Environmental Robots, Inc. (ERI) was the initial vendor and its IPMC products required hydration for optimal performance. Virginia Polytechnic Institute and State University (Virginia Tech, VT) subsequently developed their innovative ionic solvent filled IPMCs that obviated hydration. Static tests were conducted to characterize force, displacement and current as a function of applied voltage. Dynamic tests were conducted to observe the frequency response of the material. Fatigue tests were performed on the ERI IPMCs to observe the change in behavior over time. It was found that the VT IPMCs had a bandwidth that was almost half that of the ERI product. However, the obviation of hydration of the VT's IPMC ensured the repeatability of performance and generated increased force densities. A feasibility study is presented to estimate the amount of IPMC materials and power consumption for a biceps exo-muscular assistance device based on the characteristics of the current IPMC materials and a primitive exo-muscular fiber bundle structure.
Article
A linear electromechanical model is developed for ionic polymer materials. The model is based on an equivalent circuit representation that is related to the mechanical, electrical, and electromechanical properties of the material. Expressions for the quasi-static and dynamic mechanical impedance are derived from beam theory. The Golla-Hughes-McTavish model of viscoelasticity is incorporated into the model to include effects due to a rate dependent modulus. Similar to previous research, the electrical impedance is modeled as a series combination of resistive and capacitive elements. The major contribution of this work is the derivation of an electromechanical coupling term that is related to an effective bending strain coefficient. This parameter is also frequency dependent to model the low-frequency relaxation that has been measured in certain ionic polymer materials. The resulting linear electromechanical model is based on the measurement of the effective permittivity, elastic modulus, and effective strain coefficient. All input-output relationships related to sensing and actuation can be derived using these three material parameters and the transducer geometry. This model also emphasizes a reciprocity between sensing and actuation that has not been discussed before in relation to these materials. The result of this work is a comprehensive model that enables the design of devices and material systems that incorporate ionic polymer materials as either sensors or actuators.
Article
In order to investigate dynamic properties of polypyrrole (Ppy) thin films in various electrolyte solutions, NaCl, NaClO4, NaNO3, NaDS, LiClO4, KClO4, resonant frequency and resistance were measured through electrical polymerization process using a quartz crystal analyzer (QCA). The surface structure was observed by using atomic force microscopy (AFM). A diagram of the resonant frequency and resistance (F-R diagram) was used to interpret the results and compared with AFM photograph. When the Ppy film is polymerized onto the AT-cut quartz electrode crystal, it behaves as a rigid elastic layer at the initial stage. Then, it turns into a viscoelastic layer as polymerization. This is due to the penetration of electrolytes into the film. The size, mass and mobility of the hydrated cation and anion of the electrolyte affected the degree of the viscoelastic change of the polypyrrole thin films.