Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
…
6 pages
1 file
The constantly increasing amount of machines operating in the vicinity of humans makes it necessary to rethink the design approach for such machines to ensure that they are safe when interacting with humans. Traditional mechanisms are rigid and heavy and as such considered unsuitable, even dangerous when a controlled physical contact with humans is desired. A huge improvement in terms of safe human-robot interaction has been achieved by a radically new approach to robotics-soft material robotics. These new robots are made of compliant materials that render them safe when compared to the conventional rigid-link robots. This undeniable advantage of compliance and softness is paired with a number of drawbacks. One of them is that a complex and sophisticated controller is required to move a soft robot into the desired positions or along a desired trajectory, especially with external forces being present. In this paper we propose an improved soft fluidic rotary actuator composed of silicone rubber and fiber-based reinforcement. The actuator is cheap and easily manufactured providing near linear actuation properties when compared to pneumatic actuators presented elsewhere. The paper presents the actuator design, manufacturing process and a mathematical model of the actuator behavior as well as an experimental validation of the model. Four different actuator types are compared including a square-shaped and three differently reinforced cylindrical actuators.
Advanced Materials Technologies, 2021
Compared with traditional rigid robotic manipulators, [8] these soft counterparts are more compliant, more adaptable, and easier to control, thereby more suitable for safe machine-human and machine-environment interactions, such as grasping fragile objects, picking apples, and assisting elderly people and children. Moreover, soft manipulators are unique for physical and distributed computations through their compliance feature, reducing the needs for sophisticated algorithms and mechanisms in planning and control for real-world applications. The inherent compliant feature of the soft robots, on the other hand, poses critical challenges for achieving high structural stability and high loading capacity for specific applications, such as manipulation of heavy objects [9] and surgical operations. [10] To overcome this, one potential solution is to tune the stiffness of soft robots so that they can sustain external loads (including self-weight) or exert large forces for robust interactions when needed. A variety of methodologies and materials have been proposed to adjust the stiffness of soft materials and structures, including electrorheological (ER) and magnetorheological (MR) fluids, [11] particle jamming, [12] thermoplastics, [13] shape memory polymers (SMPs), [14] and low melting point alloys (LMPAs). [15] However, ER/MR fluids generally have limitations of requiring proper leakproof packaging. Although particle jamming is a fast-responsive method for stiffness change, it requires a bulky setup for pumping and vacuum operations. The application of SMP is somewhat difficult for soft robots due to its high modulus in the martensite phase. Thermoplastic materials are based on localized heating to change stiffness, which is difficult for large area/volume materials as they would need many heating elements and complicated control designs. Compared to SMPs and thermoplastics, LMPAs can provide a large stiffness difference between solid and liquid states via Joule heating. Furthermore, self-healing can be intrinsically realized by the recrystallization of alloys. [15] Therefore, LMPA is a promising candidate for achieving stiffness variation for soft robotics applications. For many applications involving hazardous or dangerous environments (e.g., factory workspace or deep ocean), remote control of robots (including soft manipulators [16]) is desired. Human-machine interface (HMI) can achieve two-way information transmission between human and machines and has Soft robots have attracted great attention in the past decades owing to their unique flexibility and adaptability for accomplishing tasks via simple control strategies, as well as their inherent safety for interactions with humans and environments. Here, a soft robotic manipulation system capable of stiffness variation and dexterous operations through a remotely controlled manner is reported. The smart manipulation system consists of a soft omnidirectional arm, a dexterous multimaterial gripper, and a self-powered human-machine interface (HMI) for teleoperation. The cable-driven soft arm is made of soft elastomers and embedded with low melting point alloy as a stiffness-tuning mechanism. The self-powered HMI patches are designed based on the triboelectric nanogenerator that utilizes a sliding mode of tribo-layers made of copper and polytetrafluoroethylene. The novel soft manipulation system has great potential for soft and remote manipulation and human machine interactions in a variety of applications from elderly care to surgical operation to agriculture harvesting.
Advanced Engineering Materials, 2017
The emerging field of soft robotics makes use of many classes of materials including metals, low glass transition temperature (Tg) plastics, and high Tg elastomers. Dependent on the specific design, all of these materials may result in extrinsically soft robots. Organic elastomers, however, have elastic moduli ranging from tens of megapascals down to kilopascals; robots composed of such materials are intrinsically soft − they are always compliant independent of their shape. This class of soft machines has been used to reduce control complexity and manufacturing cost of robots, while enabling sophisticated and novel functionalities often in direct contact with humans. This review focuses on a particular type of intrinsically soft, elastomeric robot − those powered via fluidic pressurization.
IEEE Robotics & Automation Magazine, 2000
A fter decades of intensive research, it seems that we are getting closer to the time when robots will finally leave the cages of industrial robotic workcells and start working in the vicinity of and together with humans. This opinion is not only shared by many robotics researchers but also by the leading automotive and IT companies and, of course, by some clear-sighted industrial robot manufacturers. Several technologies required for this new kind of robots reached the necessary level of performance, e.g., computing power, communication technologies, sensors, and electronics integration. However, it is clear that these human-friendly robots will look very different than today's industrial robots. Rich sensory information, lightweight design, and soft-robotic features are required to reach the expected performance and safety during interaction with humans or in unknown environments. In this article, we will present and compare two approaches for reaching the aforementioned soft-robotic features. The first one is the mature technology of torque-controlled lightweight robots (LWRs) developed during the past decade at the German Aerospace Center (DLR) (arms, hands, a humanoid upper body, and a crawler). Several products resulted from this research and are currently being commercialized through cooperations with different industrial partners (DLR-KUKA LWR, DLR-HIT-Schunk hand, DLR-Brainlab medical robot). The second technology, still a topic of worldwide ongoing research, is variable compliance actuation that implements the soft-robotic features mainly in hardware.
In this systematic survey, an overview of non-conventional and soft-actuators is presented. The review is performed by using well-defined performance criteria with a direction to identify the exemplary applications in robotics. In addition to this, initial guidelines to measure the performance and applicability of soft actuators are provided. The meta-analysis is restricted to four main types of soft actuators: shape memory alloys (SMA), fluidic elastomer actuators (FEA), dielectric electro-activated polymers (DEAP) and shape morphing polymers (SMP). In exploring and comparing the capabilities of these actuators, the focus was on seven different aspects: compliance, topology, scalability-complexity, energy efficiency, operation range, performance and technological readiness level. The overview presented here provides a state-of-the-art summary of the advancements and can help researchers to select the most convenient soft actuators using the comprehensive comparison of the performan...
Proceedings of the 6th JFPS …, 2005
In care activity or rescue activity, hands that can grasp creatures are sometimes needed. Therefore, it is considered that the soft mechanism that uses pneumatic elements is useful to realize such hands. In this paper, we propose a new type of soft actuator (Sponge-Core-Soft Rubber Actuator) in which a sponge rubber is covered with silicon rubber. The structure of the sponge rubber is divided into two types. One is single-layer type and the other is two-layer type (a flat type and a clipping type). In order to clarify the differences in characteristics of each actuator, we examine the basic characteristics of the actuators. Further, the control performances of both position and force are studied to realize a hybrid element. From some experimental results, the control performance of the two layers type actuator is illustrated.
A proposed adaptive soft orthotic device performs motion sensing and production of assistive forces with a modular, pneumatically-driven, hyper-elastic composite. Wrapping the material around a joint will allow simultaneous motion sensing and active force response through shape and rigidity control. This monolithic elastomer sheet contains a series of miniaturized pneumatically-powered McKibben-type actuators that exert tension and enable adaptive rigidity control. The elastomer is embedded with conductive liquid channels that detect strain and bending deformations induced by the pneumatic actuators. In addition, the proposed system is modular and can be configured for a diverse range of motor tasks, joints, and human subjects. This modular functionality is accomplished with a decentralized network of self-configuring nodes that manage the collection of sensory data and the delivery of actuator feedback commands. This paper mainly describes the design of the soft orthotic device as well as actuator and sensor components. The characterization of the individual sensors, actuators, and the integrated device is also presented.
2017
An innovative material-based model is described for a three-pneumatic channel, soft robot actuator and implemented in simulations and control. Two types of material models are investigated: a soft, hyperelastic material model and a novel visco-hyperelastic material model are presented and evaluated in simulations of one-channel operation. The advanced visco-hyperelastic model is further demonstrated in control under multi-channel actuation. Finally, a soft linear elastic material model was used in finite element analysis of the soft three-pneumatic channel actuator within SOFA, moving inside a pipe and interacting with its rigid wall or with a soft hemispherical object attached to that wall. A collision model was used for these interactions and the simulations yielded “virtual haptic” 3d-force profiles at monitored nodes at the free- and fixed-end of the actuator.
2009 IEEE International Conference on Robotics and Automation, 2009
This paper presents the development of a new compact soft actuation unit intended to be used in multi degree of freedom and small scale robotic systems such as the child humanoid robot "iCub" [1]. Compared to the other existing series elastic linear or rotary implementations the proposed design shows high integration density and wider passive deflection. The miniaturization of the newly developed high performance unit was achieved with a use of a new rotary spring module based on a novel arrangement of linear springs. The model and the control scheme of the actuator are analysed. The proposed control scheme is a velocity based controller that generates command signals based on the desired simulated stiffness using the spring deflection state. The overall system is evaluated with experimental trials performed using a prototype unit. Preliminary results are presented to show that the unit and the proposed control scheme are capable of replicating virtual impedances within a wide range and with good fidelity.
Advanced Intelligent Systems, 2020
Soft robotics has experienced an exponential growth in publications in the last two decades. [1] Unlike rigid conventional manipulators, [2,3] soft robots based on hydrogels, [4,5] electroactive polymers, [6,7] and elastomers [7-9] are physically resilient and can adapt to delicate objects and environments due to their conformal deformation. [10,11] They also show increased safety and dexterity can be lightweight and used within constrained environments with restricted access. [12,13] Many soft robots have a biologically inspired design coming from snakes, [14-17] worms, [18-20] fishes, [21-24] manta rays, [25,26] and tentacles. [27-29] The scope of applications includes minimally invasive surgery, [30,31] rehabilitation, [32,33] elderly assistance, [34] safe human-robot interaction, [35,36] and handling of fragile materials. [37,38] Important features of soft robotics design, fabrication, modeling, and control are covered in the soft robotics toolkit. [39,40] The building blocks of soft robots are the soft actuators. The most popular category of soft actuator is the soft fluidic actuator (SFA), where actuation is achieved using hydraulics or pneumatics. [8,41] These actuators are usually fabricated with silicone rubbers following a 3D molding process, [42] although directly 3D printing the soft actuators is also possible. [43,44] Silicone rubber is a highly flexible/extensible elastomer with high-temperature resistance, lowtemperature flexibility, and good biocompatibility. [45] Elastomers can withstand very large strains over 500% with no permanent deformation or fracture. [46] For relatively small strains, simple linear stress-strain relationships can be used, and two of the following parameters can be used to describe the elastic properties: bulk compressibility, shear modulus, tensile modulus (Young's modulus of elasticity), or Poisson's ratio. [45] For large deformations, nonlinear solid mechanic models using hyperelasticity should be considered. [8,32,47-50] Due to the strong nonlinearities in SFAs and their complex geometries, analytical modeling is challenging. [51] A brief review of the analytical methods for modeling of soft robotic structures is provided in the following. 1.1. Analytical Modeling of Soft Actuators The majority of soft/continuum robots with bending motion can be approximated as a series of mutually tangent constant curvature sections, i.e., piecewise constant curvature. [52] This is a result of the fact that the internal potential energy is uniformly distributed along each section for pressure-driven robots. [53] This approach has also been validated using Hamilton's principle by Gravagne et al. [54] As discussed by Webster and Jones, [52] the kinematics of continuum robots can be separated into robotspecific and robot-independent components in this approach. The robot specific mapping transforms the input pressures P or actuator space q to the configuration space κ, ϕ, l, and the robot-independent mapping goes from the configuration space to the task space x. The actuator space contains the length of tubes or bellows. The configuration space consists of the curvature κ, the angle of the plane containing the arc ϕ (also called
Smart Materials and Structures, 2021
Soft actuators can be classified into five categories: tendon-driven actuators, electroactive polymers, shape-memory materials, soft fluidic actuators (SFAs), and hybrid actuators. The characteristics and potential challenges of each class are explained at the beginning of this review. Furthermore, recent advances especially focusing on SFAs are illustrated. There are already some impressive SFA designs to be found in the literature, constituting a fundamental basis for design and inspiration. The goal of this review is to address the latest innovative designs for SFAs and their challenges and improvements with respect to previous generations, and to help researchers to select appropriate materials for their application. We suggest seven influential designs: pneumatic artificial muscle, PneuNet, continuum arm, universal granular gripper, origami soft structure, vacuum-actuated muscle-inspired pneumatic, and hydraulically amplified self-healing electrostatic. The hybrid design of SFA...
A large range of actuators have been employed in various areas such as robot hands, surgical robots, hybrid assistive limb systems, and prosthetic limbs and hands. The traditional approach of designing mechanical systems is focused on making use of electrical actuators joined with transmission mechanisms such as gears or linear translation systems to transmit high torque to mechanical joints or to convert rotational motion to translational motion -in such cases, the overall system is heavy and bulky.
As the number of machines operating in the vicinity of humans is growing, the risk of potentially harmful humanmachine interaction is increasing, and, hence, there is a need of redesign in robotics with safety being at the forefront of considerations. Improving robotics safety is still an ongoing process also in the area of traditional actuator mechanics. With current advances in technology, actuators get smaller and lighter, sophisticated sensing is incorporated into their structure and new control strategies are being developed [1]. However, this approach is not perfect as accidents still happen, and the impact of a rigid device can still exceed a safety threshold.
The risk of injury is significantly decreased by a radically new robotics approach, soft material robotics [2]- [4]. Thanks to soft and compliant materials that these robots are composed of, a significantly safer interaction with humans compared to conventional rigid-link robots can be achieved. However, the biggest soft robotics advantage, i.e. softness and compliance, brings also a number of drawbacks. One of them is that actuation and control becomes very complex and demanding since the actuators and linkages are made of soft and compliant materials. One of the most popular soft actuators are flexible fluidic actuators (FFA). There are different types of FFAs [5] that can be classified by their behavior e.g., actuators that contract along their primary axis, those that expand along their primary axis, those that twist along their primary axis (rotating) [6], those that bend (also rotation) [7]- [10], and those with complex motion behaviors [11], [12].
The rotary FFAs presented here get their ability to ratate from their particular geometry; they can be used to provide rotational movement between two robotics links [5], [13]- [15]. In [13], a soft rotary actuator is presented consisting of a hollow silicone rubber reinforced by nylon fibers so that the device expands predominantly in the circumferential direction when pressurized. In [15], a similar actuator is proposed but reinforced with unstretchable fabric layers instead of the fiber. Despite the reinforcement those actuators not only bend but also deform in radial direction when pressurized. The effect is caused by the geometrical configuration of the device and the reinforcement density. Such an effect makes the actuator extend and influences its behavior in a way that it improves linearity. In this paper, we are proposing an improved soft actuator using silicon rubber reinforced with polyester fibers specifically tailored to achieve rotary motion. The actuator is designed to be used in a robotic arm combined with soft stiffness-controllable robot links [16] as presented in Figure 1. As the actuator is designed to drive a robotic arm any nonlinear behavior is highly undesired since that would require more complicate control. Any radial deformation or expansion of the actuator may be a problem too, as it makes the arm dimensions unstable and increases the risk of self-collision or uncontrolled interaction with the environment. The modified reinforcement strategy and circular cross-section shape solve the shortcomings of conventional rotary actuators. The proposed design shows not only highly linear characteristics, but also reduces the radial expansion observed in other designs.
Figure 1
An entirely soft robotic arm driven by the soft fluidic rotary actuator.
The actuator is composed of three main parts: an actuation chamber, a tip and a base. The actuation chamber is made of soft silicone EcoFlex 0050 (Shore 00-50), while for the base and the tip the relatively stiff silicone -SmoothSill 940 (Shore 40 A)-has been used. The chosen materials allow the actuator to bend and prevent its both ends from deformation. The actuation chamber is reinforced with a polyester thread that restrains its radial expansion. The application of the thread for such a purpose has been already extensively examined and shows very good performance [17], [8]. The thread is formed in a helix with an equally spaced pitch along the actuator angular length. The intersection of all the planes that the circular cross sections of the helix are located on defines the actuator rotation axis. The complete actuator weighs around 20 grams. The actuator design is presented in Figure 2.
Figure 2
Single module design. a) side view, b) side crosssection, c) front cross-section.
For the proposed actuator a circular shape of the crosssection has been chosen, as the circular cross-section shape is the only shape that does not change its geometry during the actuation. Any other cross-section shapes (e.g. rectangular, elliptical, etc) would change and converge towards the circular shape when pressurized, Figure 3b. Such a deformation results in the change of the cross-section area and influences its geometrical center position. This, in turn, affects the actuator characteristics rendering it less linear. The deformation towards a circular shape of an actuator with a non-circular cross-section when pressurized is illustrated in Figure 3. Its impact on the actuation process is further discussed in Sections III and IV. Fig. 3: Deformation of the actuator cross-section geometry when pressurized: a) circular cross-section -preservation of circular shape, b) square cross-section -deformation from square shape (non pressurized) to circular shape (pressurized).
Figure 3
The number of turns of the helical reinforcement structure (angular density) does also affect the mechanical properties of the actuator. Although the flexible actuator body is constrained by the thread, it can still expand between the reinforcement thread (ballooning effect). This also affects the cross-section area and its geometrical center position. The distance between the turns of the thread increases during actuation as the actuator stretches along its axis -hence, the spacing between the turns becomes more significant and ballooning may occur ( Figure 4).
Figure 4
The actuator cross-section changes when pressurized. The more dense the reinforcement, the less deformation is observed. Different angular densities compared: a) 1/18 o , b) 1/15 o , c) 1/2.25 o . Different pressure values for each actuator, see section IV.
The perfect solution would be reaching an infinitesimal thread-to-thread angular distance, but in a real implementation of the concept, this is unachievable. Actuator deformation related to the number of turns / pitch of the reinforcement fiber is shown in Figure 4.
The actuator manufacturing process consists of several steps. The first step is the reinforcement shaping using a dedicated three-part core (Figure 5a). The core has an embedded structure that helps keeping the thread in place. The core consists of three parts that can be separated easily and, thus, facilitates the core's removal after the molding process is complete. Once the core is wrapped with the thread it is covered with soft silicone in the second step ( Figure 5b). For that manufacturing step another, external two-part mold is used. After the silicone is cured the external mold is opened and the three-part core is gently removed from the silicon layer, while the thread remains embedded in the silicone. In the third step, the internal layer of the actuation part is created by filling it with the next portion of silicone and putting another, smaller core inside. After that the actuation chamber is closed by creating a round cap of stiff silicone using another mold, Figure 5c. It is noted that all mold parts are 3d printed.
Figure 5
Manufacturing process: a) reinforcement deployment, b) external layer of active part molding, c) closing both ends of the actuator.
Nowadays almost any mechanical object can be described by a numerical function and its behavior can be modeled using finite element methods. Such a solution, however, is computationally complex and requires a precise object description. Thus we propose a simplified static mathematical model that requires only a small set of calculations and is based on a number of assumptions. We assume that the crosssection geometry in any plane parallel to the actuator rotation axis remains constant during actuation -this is assured by the fiber reinforcement. We also assume that there is no deformation of the base and the tip of the actuator. The fiber thread is considered to only limit the radial expansion -all other effects of the fiber onto the robot structure have been neglected as there was no such impact observed in cases of similar silicone structures [8].
Consider an actuation bending moment resulting from the pressure inside the actuation chamber as M p . In an equilibrium the actuation bending moment is balanced by stress in the actuator body M I and the generated torque τ . (1), Figure 6c:
Figure 6
Mathematical description of the actuator behavior, a), b) front view, tip wall of the actuation chamber, c) side view
The bending moment inside the actuation chamber is generated by the pressure acting on the tip and on the base of the actuator. Assuming that the base is fixed, the impact of the pressure acting on it can be omitted. Since the pressure acting on the actuator walls other than base and tip does not cause any displacement it can be ignored as well. The bending moment acting on the tip related to the rotation axis can be expressed as (2):
where A corresponds to the internal tip wall area, p denotes the pressure acting and x stands for the distance of da from the rotation axis (Figure 6a). As the pressure has a constant value inside the chamber the p variable can be taken outside the integral. Introducing a x 0 variable being the distance from rotation axis to the tip's geometrical center (Figure 6b), the integral can be written as (3)
Considering (3) and (4) , the bending moment is equal to (5).
Using the same justification as for pressure related to actuation moment, the internal stress moment can be calculated as:
where A b denotes the area of the actuator body in the crosssection. Putting all the equations together we get (7):
The stress variable σ depends on the material properties and its deformation value . It can be read form the stressstrain curve of EcoFlex 0050 material used for the actuator body. The curve has been measured and is presented in Figure 7. The strain at a certain point corresponding to actuation angle α can be expressed as:
Figure 7
Relation between strain and stress of Ecoflex 0050, a) stress-strain curve, b) inverted relationship for around 100% deformation (the range of the tested actuator motion).
where ϕ and ϕ stand for the actuator's rest and active angles, respectively (Figure 6c).
It is important to note that the strain does not depend on the r value and remains constant for the entire actuator volume (despite a small part of the flexible actuation chamber below the rotation axis that has been neglected due to its relatively small volume -marked in orange in Figure 6b.
With regards to the measured characteristics (7) can be rewritten as:
For a constant angle α the torque is a linear function of pressure τ (p, α = α 0 ) = px 0 πr 2 i − c α0 since the last part of the equation is constant in such case. From (8) the actuation angle α can be expressed as α = ϕ , where depends on the pressure p and the load τ :
The final bending angle equation contains the strain as a function of stress, which is a linear a function of pressure for constant torque. Thus, for a constant torque the actuation angle should reflect the inverse stress-strain curve ( Figure 7b).
In this section the experimental setup and assumed model validation process is described. The results are discussed. For the trials the actuator was powered by pressurized air from a pressure tank.
For this test the experimental setup was composed of a pressure source, a pressure indicator, a camera and our examined rotary actuator. The actuator was equipped with a lightweight rod attached to its free end in order to determine its momentary configuration. (It is noted that a vision system trained on the lightweight rod was used to obtain real-time data on the movement of the actuator.) Our rotary actuator was connected to a pressure source through a proportional throttle that was adjusted to pass the actuation gas slowly so the actuation process was very slow and steady. High-speed actuation was not investigated here because, in such a case, the dynamics of the system cannot be neglected, and the pressure measured at the pressure pipe providing the fluid to the device would differ from the actual pressure in the actuation chamber due to the dynamic pressure distribution in the system (described by Darcy-Weisbach equation).
The whole process was recorded with a camera and then using image processing, both the pressure and the bending angle were determined in the frames of the recorded video. A single frame of the data and the image processed are presented in Figure 8. internal and external sides length, respectively. In all the cases the reinforcement was embedded in the middle of the silicone layer.
Figure 8
Single frame of a recorded sequence, bending angle and pressure indicators detected (green and red consequently)
Each actuator was actuated 6 times with exactly the same pressure increase speed. Each actuator was actuated in the range from 0 to 90 o .
The plots of the bending angle as a function of pressure with statistical errors included are presented in Figure 9. As can be noticed, none of the tested actuators characteristics is linear and all of them reflect a presumed elastomer strainstress curve (Figure 7). In Figure 10, all the curves are presented in the same plot for comparison purposes. On the left hand side all the curves are plotted with respect to the real pressure data. On the right hand side the pressure has been normalized with regards to the 90 o bending angle limit. The desired linear characteristic has been also presented. Such a unification makes it clearly visible that the circular actuator reinforced with the least spacing presents the most linear characteristics. It is interesting to note that the square actuator behaves in a way very similar to the circular one ( Figure 10b, red and dark blue lines consequently). The only difference lies in the initial part of the actuation curve. This is because the rectangular shape of the cross-section converges to a circle when pressurized. Thus for higher pressures, when its crosssection is almost circular, the actuator presents the same actuation properties as a circular one.
Figure 9
Bending angle vs pressure with error bars. Results for 0 degree actuation angle and different actuators regarding its cross-section shape and angular distance between reinforcement cycles: a) circular, 2.25 o , b) circular, 15 o , c) circular, 18 o , d) square, 2.25 o . In this experimental study, four different actuators have been examined. Three of them have had circular crosssections and one had a rectangular one. The cylindrical ones were identical apart from the fact that their reinforcement had different numbers of turns -with 2.25 o , 15 o and 18 o of spacing. The square-shaped actuator had similar dimensions and was reinforced with 2.25 o of spacing. All the prototype actuators had a 90 o passive angle. The circular circumference actuators had a 26mm internal and a 34mm external diameter, rectangular cross-section actuators had 26mm and 34mm
Figure 10
Bending angle vs pressure. a) real data, b) the x−axis has been normalized for comparison purpose.
The actuator characteristics compared to the model is presented in Figure 11. Statistical evaluation of the tested actuator versions is presented in Table I. The statistical evaluation considers a linear characteristic of the same range of motion (0 o -90 o ) and the proposed model for circular actuator crosssection. As expected, the reinforcement density affects the actuator linearity and the more reinforcement cycles, the more linear the actuator is. Since the actuator manufacturing process is highly imprecise, the actual dimensions may vary from assumed. Thus the model prediction may be better if its geometrical parameters (the actuator dimensions) are slightly adjusted. In the last row model prediction errors for adjusted actuator geometry are presented.
Figure 11
a) Bending experimental data aligned with the model prediction, b) the actuator cross-section dimensions.
Table
Torque linearity error for 0 -0.35bar actuation pressure. Initial actuation angle: 0 o .
A similar setup was used to test for torque in our rotary actuator. In our experiments, pressure was determined in the same way as previously and the torque itself was determined using a precise electronic scale which was recorded in parallel with the pressure indicator. The actuator was fixed to a hinge that was attached to the scale on the other end ( Figure 12a). The growth of the pressure value inside the actuator causes the force to change which is reflected in the scale reading. Knowing the radius of the acting force the torque can be calculated. The results of the torque measurement at rest actuators angle (0 o ) are presented in Figure 13 and a statistical data evaluation is presented in Table II. As expected the highly reinforced actuator with the circular cross-section presents the most linear behavior. All the other actuators are less linear. This effect is related to the cross-section deformation during the pressurization. The cross-section distortion causes its geometry to change, and that makes the torque increase in a nonlinear fashion. All the torque curves are presented in the same plot for comparison, Figure 12b. To make them more Figure 12b. As discussed in IV-A, a square-shaped actuator quickly becomes round under the pressure, and this is a suspected reason for the higher torque it provides when compered to similarly reinforced circular one. For the tested dimensions (length of the square crosssection equal to diameter of the circular one) the active crosssection area was approximately 27% bigger when passive and approx. 62% when pressurized in the square-shaped actuator than in circular one.
Figure 12
Torque characterization; a) setup, b) torque vs pressure, c) all the torque plots combined with torque axis normalized (0 -100%) for comparison purposes.
Figure 13
Torque vs pressure with error bars. Results for different actuators regarding its cross-section shape and angular distance between reinforcement cycles: a) circular, 2.25 o , b) circular, 15 o , c) circular, 18 o , d) square, 2.25 o . Initial configuration of the actuators: 0 o actuation angle.
In this paper we presented a soft pneumatically-actuated rotary actuator made of silicon rubber reinforced with a polyester fiber. Owing to the actuator compliance, flexibility, achievable angles and generated torque range, it shows to be a promising approach with a wide range of applicability in a variety of domains. Since its body is entirely soft it can be successfully embedded in applications requiring a safe human-machine interaction. The proposed actuator was tested in terms of bending and torque capabilities and compared to a set of similar devices. We have shown that it presents a more linear behavior during actuation when compared to both rectangular and sparsely reinforced actuators even though all the other parameters remained very similar. The average actuation angle difference from an ideal actuator of the same range and completely linear characteristics is around 6 o with the standard deviation around 7 o . The measured torque deviates less than 4% in average from the behavior of the ideal actuator. Improved linearity has been achieved by constraining undesirable effects such as change of cross-section geometry or size.
We have provided an example and justified a hypothesis that the circular actuator's cross-section shape is the preferred one. We have also validated the hypothesis that an increase of the number of turns of the reinforcement fiber improves the actuator behavior.
A mathematical description of the discussed actuator has been proposed and the gathered data appears as expected by the model. The predicted bending angle differs less than 2 o from the experimental data in average and its standard deviation is equal to 2.2 o .
Academia Materials Science, 2024
Studia Doctoralia , 2022
INTELLIGENT HEALTHCARE SYSTEMS, 2023
Barataria. Revista Castellano-Manchega de Ciencias Sociales, 2017
https://mimesisjournals.com/ojs/index.php/mechane/index
Tesam Strateji, 2023
Israel Palestine Conflict-TWO STATE SOLUTION
Chinese Journal of Electronics, 2019
Anuario de Letras, Lingüística y Filología, vol. X, núm. 1 , 2022
Il Foglio, 2018
Revista brasileira de cirurgia, 2018
Renewable Energy, 2020
Medical Mycology, 1997
BMC Cardiovascular Disorders
Lectura y Signo, 2016
Journal of Nanomaterials, 2012