† Corresponding author. E-mail:
Project supported by the National Key Research and Development Program of China (Grant No. 2017YFB0307001), the National Natural Science Foundation of China (Grant Nos. U1533122 and 51773094), the Natural Science Foundation of Tianjin, China (Grant No. 18JCZDJC36800), the Science Foundation for Distinguished Young Scholars of Tianjin, China (Grant No. 18JCJQJC46600), the Fundamental Research Funds for the Central Universities, China (Grant No. 63171219), Key Laboratory for Medical Data Analysis and Statistical Research of Tianjin, and State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, Donghua University (Grant No. LK1704).
Developing moisture-sensitive artificial muscles from industrialized natural fibers with large abundance is highly desired for smart textiles that can respond to humidity or temperature change. However, currently most of fiber artificial muscles are based on non-common industrial textile materials or of a small portion of global textile fiber market. In this paper, we developed moisture-sensitive torsional artificial muscles and textiles based on cotton yarns. It was prepared by twisting the cotton yarn followed by folding in the middle point to form a self-balanced structure. The cotton yarn muscle showed a torsional stroke of 42.55 °/mm and a rotational speed of 720 rpm upon exposure to water moisture. Good reversibility and retention of stroke during cyclic exposure and removal of water moisture were obtained. A moisture-sensitive smart window that can close when it rains was demonstrated based on the torsional cotton yarn muscles. This twist-based technique combining natural textile fibers provides a new insight for construction of smart textile materials.
Developing moisture-sensitive artificial muscles from industrialized natural fibers with large abundance is highly desired for smart textiles. Textiles have been an indispensable part in human life for thousands of years. The basic function of traditional textiles is for blocking the body and providing warmth by isolating air from the environment to decrease the heat transfer.[1] Nowadays, with advances in textile technologies, multi-functional textiles that can sense, respond, communicate, or adapt with environmental change are highly desired.[2] Successful examples have been realized for smart textiles that show color change, lighting, actuating, and sensing, when interacting with environmental changes.[3]
Among these advances in smart textiles, the incorporation of traditional textile technology and fiber artificial muscle can provide tensile and torsional responses triggered by electricity, moisture, heat, light, etc.[4] In recent years, twist-based fiber artificial muscles have been designed based on a volume expansion mechanism, which showed large actuation strokes and high work capacity.[5] Different fiber materials were designed for twist-based fiber muscles, including graphene[6] and carbon nanotube fibers,[5] polymer fibers,[7] shape memory alloy,[8] elastomers,[9] and their composites.[10] In the material’s point of view, natural textile materials are more attractive for smart textiles due to their merits of comfortability, large availability, and low cost. Artificial muscles based on pure natural textile fibers that can respond to environmental changes (e.g., moisture, temperature, etc.) show extraordinary applicability for industrialization, because there is no need for additional material design and biocompatibility investigations.
Recently we demonstrated moisture sensitive twist-based torsional artificial muscles and smart textiles from silkworm silk.[11] However, silkworm silk only has a miniscule percentage of global textile fiber market (less than 0.20%),[12] possibly due to its limitation of productivity and relative high price. Moreover, the silk is a type of protein fiber,[13] it is highly suggested to develop artificial muscles based on more wide range of natural products. Except for comfortability, a combination of wearable requirements such as softness by absorption of water moisture, high porosity for keeping warm, high temperature tolerance is also required for smart textiles that can be used in scenarios other than silkworm silk. Therefore, it is highly desired to identify other more widely used natural fibers as artificial muscles for smart textiles.
Cotton is an important raw material in textile industry, which accounts for ∼ 39.50% of the world’s textiles in 2018.[14] The cotton yarn exhibits high strength, excellent hygroscopic properties, and biocompatibility with human body, which boosted its demand in textile industry. Furthermore, cotton shows softening on absorption of moisture, good cold-proof properties, good temperature tolerance, and alkaline resistance. Cotton yarn is mainly composed of cellulose, which is hydrophilic and shows good air permeability.[15] It absorbs the moisture from human body and evaporates water into the environment to keep a humidity balance. This makes it a good candidate for moisture-responsive smart textiles. So far, cotton-based humidity-driven torsional artificial muscles and smart fabrics have not been developed.
In this work, we demonstrate humidity driven torsional artificial muscles from twisted and plied cotton yarns. To enable reversible actuation without the need for torsional tethering, we exploit torque-balanced fiber structures that are obtained by folding a twisted fiber onto itself to form fiber plying. When exposed to water fog, the torsional muscle provided a fully reversible torsional stroke of 42.55 °/mm and normalized value of 3.00°, which were close to the water-absorption-driven coiled carbon-nanotube fiber (61.30 °/mm) and normalized value of 1.20°.[16] A humidity sensitive intelligent window was demonstrated for the cotton artificial muscle.
Cotton yarn is formed by lengthening and thickening epidermal cells of fertilized ovule, which is around the seeds of the cotton plants and will increase dispersal of the seeds.[17] The main components of the cotton yarn are cellulose, which is a natural polymer that contains a large number of hydrocarbon groups ([C8H10O5]n) and forms both crystalline and amorphous regions.[18]
Scanning electron microscope (SEM) images show that a cotton fiber is ∼ 10–20 μm in diameter, which is composed of a fiber core formed with aligned nanometer-scale fibers and a thin porous surface layer (
We then tested the water absorption/desorption kinetics of a cotton yarn. When a dry cotton yarn is exposed to air with a relative humidity of 90%, a 10-mg cotton yarn uptakes ∼ 20 mg of water in 15 min. There is a linear relationship between the water absorption rate and time (see Fig.
The microstructural change of the cotton yarn for water absorption/desorption processes was also investigated using x-ray diffraction (XRD). The dried cotton yarns show crystallites embedded in the amorphous region.[19] The XRD peaks at 2θ angles of 15.30°, 17.50°, 22.50°, and 34.50° correspond to 101, 10
The above results about large radial expansion, fast absorption/desorption kinetics, and reversible structural changes upon fiber exposure to water moisture indicate that the cotton yarn is an ideal candidate for fabrication of fiber artificial muscles.
Torsional muscles were fabricated from the cotton yarns using a twist-based technique, as shown in Fig.
The measurement of torsional actuation was in an open circulating environment with 40% relative humidity (RH) at the room temperature of 25 °C. The cotton yarn muscle was exposed to ultrasonically generated water fog to produce torsion rotation. If not specified, a self-balanced 2-ply muscle prepared from a single filament cotton yarn was used for measurements. For multiply muscle measurements, self-balanced 4-ply muscle from two filament cotton yarns, and self-balanced 6-plymuscle from three-filament cotton yarns were also prepared. The torsional rotation was recorded by using a fast-speed camera and the data was obtained from the video by counting the rotations.
Figure
Figure
This moisture-driven torsional actuation of the cotton yarn muscle largely depends on the internal stress change of the twisted yarn upon volume expansion. By inserting twist, the cotton yarn showed a bias angle (α) with the fiber length direction. For a cotton yarn with radius r and inserted twist density T (number of inserted twist divided by the fiber length), this bias angle α for the surface layer of the yarn can be calculated as α = tan−1(2πrT).[22] Figure
Twist insertion is generally used in yarn spinning to assemble loose short fibers into a high-strength, long yarn. We further investigated the dependence of the mechanical properties of the cotton yarn on the twist insertion (Fig.
The dependence of the torsional actuation behavior on the inserted twist density for cotton yarn muscles was then investigated, as shown in Fig.
The origin of torsional actuation in this twisted yarn is stress change due to the moisture-induced volume expansion. So we investigated the volume expansion ratio of the cotton yarn with different twist density upon water absorption. When exposed to 100% relative humidity, the yarn length (l) shows negligible change (Δl <1%) for different inserted twist, while the yarn diameter (d) shows dramatic increase. The change in yarn diameter (Δd) monotonically decreases from 12.50% to 7% when the inserted twist increases from 0 to 1200 turns/m (Fig.
We then investigated the torsional actuation performance for multiply cotton yarns. Figure
These cotton yarn muscles can be delicately designed to obtain tunable torsional actuation performance by adjusting the internal parameters (such as inserted twist and number of plies) and the external parameters (such as isobaric load). The full reversibility and highly retention of the torsional actuation angle on repeated exposure or removal of water moisture enable the cotton yarn muscle as an ideal candidate for smart textiles. We then investigated the applicability of this torsional cotton yarn muscle as a moisture-driven smart window.
Based on the torsional rotation of the cotton yarn muscle on exposure to water humidity, a smart window was schematically demonstrated, which can close when it rains and open when rain stops (Fig.
In summary, moisture-sensitive torsional artificial muscles and textiles were prepared from cotton yarns. The cotton yarn was twisted and folded in the middle point to form a self-balanced structure. Upon water moisture absorption, the cotton yarn showed volume expansion and the muscle showed fast rotation with torsional stroke of 42.55 °/mm and a rotational speed of 720 rpm. The cotton yarn muscle showed good reversibility and stable actuation during applying/removing water moisture. Based on the cotton yarn torsional muscle, a smart window was designed that can spontaneously close when it is wet and open when it dries. This work provides a new opportunity for smart textiles based on natural fiber materials.
The cotton thread (35 tex) was purchased from China cotton group Co. Ltd. The as-received cotton thread contains 17-plies of single cotton yarns (140-μm-diameter, 35 tex). A single cotton yarn was split out from the as-obtained cotton thread for preparing the cotton muscle. The fabrication of the torsional muscle is briefly described as follows. The top end of the cotton yarn was connected to a 42-step servo motor, and the bottom of end of the cotton yarn was isobarically loaded with a weight, which was torsionally tethered. Twist was inserted by rotating of the servo motor. After twist insertion, the cotton yarn was folded in the middle, each twisted yarn untwisted to ply the yarns together to form a self-balanced torsional muscle.
The stress–strain curves of the cotton yarns were measured on an Instron mechanical tester modeled 3365. For mechanical testing, the samples were attached to paper frames using double-sided adhesive tape. The gauge length was 20.00 mm. The frames were mounted onto the Instron tester equipped with a calibrated 5 N load cell. The extension rate was 10.00 mm/min. The cotton yarn diameter was measured using SEM, which can obtain the cross-sectional area of the samples. SEM characterization was carried out using an MERLIN Compact. The x-ray diffraction results were obtained using Cu Kα radiation on an Ultima IV x-ray diffractometer. The data were collected from 5° to 50°. Ambient temperature and relative humidity were measured by a hygrometer (CEM DT-615).
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