Bioinspired design of stimuli-responsive artificial muscles with multiple actuation modes

Yang, Hao; Zhang, Chao; Chen, Baihong; Wang, Zhijian; Xu, Ya

doi:10.1088/1361-665x/ace4a9

Cited by 18 publications

(6 citation statements)

References 34 publications

(36 reference statements)

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“…The development of artificial muscle technology is crucial for the advancement of soft robotics, as it aims to replicate the versatility, performance, and reliability of biological muscles. Artificial muscles play a vital role in soft robots, mimicking the muscles found in biological systems and enabling a wide range of applications in robotics [61].…”

Section: Total Artificial Heart Technologymentioning

confidence: 99%

Unveiling the future of cardiac care: advances in mechanical circulatory support

Tarcan

2024

J. mechatron., artif. intell., eng.

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Congestive heart failure (CHF) is a multifaceted clinical syndrome characterized by the inability of the heart to pump blood effectively, leading to inadequate oxygen and nutrient delivery to the body tissues. Despite advancements in treatment strategies, including guideline-directed medical treatment (GDMT), end-stage CHF remains a significant cause of morbidity and mortality worldwide. Heart transplantation is considered to be the gold standard treatment of end stage CHF but constrained by the lack of organ donors, lengthening waitlists, and the negative side effects of lifelong immunosuppressive medications. Mechanical circulatory support (MCS) has emerged as a pivotal intervention for patients with end-stage CHF, serving as a bridge to recovery, transplantation, or destination therapy. The aim of this narrative review is to highlight the historical development of MCS, to assess the recent status of MCS device technology and discuss current challenges associated with complications of MCS that need to be solved in the future by device development. The history of MCS dates back to pioneering efforts in the 1960s, with significant progress in device development and utilization over decades. MCS devices, including left ventricular assist devices (LVADs), extracorporeal membrane oxygenation (ECMO), and artificial hearts, play a crucial role in providing circulatory support to patients with end-stage CHF. Recent advancements in MCS technology aim to decrease the device size, enhance blood compatibility, reduce thrombo-embolic complications, and prolong device durability and battery life and improve physiological performance of MCS. Continued research and innovation are essential to address these challenges and improve outcomes in patients with end-stage CHF. Artificial intelligence (AI) has emerged as a valuable tool in cardiovascular medicine to facilitate risk prediction, patient selection, and treatment optimization for MCS and heart transplantation. Despite these advancements, challenges persist in MCS device selection, resource allocation, and integration of AI into clinical practice. Continued research and innovation are essential to address these challenges and improve outcomes in patients with advanced heart failure.

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Section: Total Artificial Heart Technologymentioning

confidence: 99%

Unveiling the future of cardiac care: advances in mechanical circulatory support

Tarcan

2024

J. mechatron., artif. intell., eng.

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“…Recently, there has been an increase in the development of self-oscillating systems crafted from materials that react to stimuli, including but not limited to hydrogels [14,18,19], ionic gels [20], dielectric elastomers [21], and liquid crystal elastomers (LCEs) [22][23][24][25][26][27]. By using these materials, a variety of self-excited motion patterns have been demonstrated, including rolling [28][29][30][31], bending [32][33][34][35], vibration [36,37], telescoping [38,39], torsion [40,41], self-floating [42], swinging [43], swimming [44], buckling [45][46][47], jumping [48][49][50], rotation [51][52][53], chaos [54], and reverse [55,56]. Even several coupled self-excited oscillators that can move synchronously are proposed [57].…”

Section: Introductionmentioning

confidence: 99%

Behavior Prediction and Inverse Design for Self-Rotating Skipping Ropes Based on Random Forest and Neural Network

Qiu,

Wu,

Dai

et al. 2024

Mathematics

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Self-oscillatory systems have great utility in energy harvesting, engines, and actuators due to their ability to convert ambient energy directly into mechanical work. This characteristic makes their design and implementation highly valuable. Due to the complexity of the motion process and the simultaneous influence of multiple parameters, computing self-oscillatory systems proves to be challenging, especially when conducting inverse parameter design. To simplify the computational process, a combined approach o0f Random Forest (RF) and Backpropagation Neural Network (BPNN) algorithms is employed. The example used is a self-rotating skipping rope made of liquid crystal elastomer (LCE) fiber and a mass block under illumination. Numerically solving the governing equations yields precise solutions for the rotation frequency of the LCE skipping rope under various system parameters. A database containing 138,240 sets of parameter conditions and their corresponding rotation frequencies is constructed to train the RF and BPNN models. The training outcomes indicate that RF and BPNN can accurately predict the self-rotating skipping rope frequency under various parameters, demonstrating high stability and computational efficiency. This approach allows us to discover the influences of distinct parameters on the rotation frequency as well. Moreover, it is capable of inverse design, meaning it can derive the corresponding desired parameter combination from a given rotation frequency. Through this study, a deeper understanding of the dynamic behavior of self-oscillatory systems is achieved, offering a new approach and theoretical foundation for their implementation and construction.

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“…Various self-oscillating systems have been effectively created using responsive materials, such as liquid crystal elastomers (LCEs) [21][22][23], dielectric elastomers [24], ionic gels [25], environmentally sensitive hydrogels [26], and other similar materials. In addition, many attempts have been made to create multiple self-sustained motion modes, including vibration [27][28][29] and bending [30,31], rolling [12,32,33], self-rotation [34][35][36], torsion [37,38], self-fluttering [39], self-oscillation of auxetic metamaterials [40,41], eversion or inversion [42], swimming [43,44], buckling [45,46], jumping [47][48][49], and chaos [50,51], and they even achieve synchronized motion of multiple coupled self-oscillators [52,53].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling of the Displacement of a Light-Fuel Self-Moving Automobile with an On-Board Liquid Crystal Elastomer Propulsion Device

Qiu,

Chen,

Dai

et al. 2024

Mathematics

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The achievement and control of desired motions in active machines often involves precise manipulation of artificial muscles in a distributed and sequential manner, which poses significant challenges. A novel motion control strategy based on self-oscillation in active machines offers distinctive benefits, such as direct energy harvesting from the ambient environment and the elimination of complex controllers. Drawing inspiration from automobiles, a self-moving automobile designed for operation under steady illumination is developed, comprising two wheels and a liquid crystal elastomer fiber. To explore the dynamic behavior of this self-moving automobile under steady illumination, a nonlinear theoretical model is proposed, integrating with the established dynamic liquid crystal elastomer model. Numerical simulations are conducted using the Runge-Kutta method based on MATLAB software, and it is observed that the automobile undergoes a supercritical Hopf bifurcation, transitioning from a static state to a self-moving state. The sustained periodic self-moving is facilitated by the interplay between light energy and damping dissipation. Furthermore, the conditions under which the Hopf bifurcation occurs are analyzed in detail. It is worth noting that increasing the light intensity or decreasing rolling resistance coefficient can improve the self-moving average velocity. The innovative design of the self-moving automobile offers advantages such as not requiring an independent power source, possessing a simple structure, and being sustainable. These characteristics make it highly promising for a range of applications including actuators, soft robotics, energy harvesting, and more.

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Bioinspired design of stimuli-responsive artificial muscles with multiple actuation modes

Cited by 18 publications

References 34 publications

Unveiling the future of cardiac care: advances in mechanical circulatory support

Unveiling the future of cardiac care: advances in mechanical circulatory support

Behavior Prediction and Inverse Design for Self-Rotating Skipping Ropes Based on Random Forest and Neural Network

Mathematical Modeling of the Displacement of a Light-Fuel Self-Moving Automobile with an On-Board Liquid Crystal Elastomer Propulsion Device

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