Accelerating the stimuli-responsive bending of a gel using mechanical constraints.

Eur Phys J E Soft Matter

Center of Soft Matter Physics and its Applications, School of Physics, Beihang University, Beijing, 100191, China.

Published: June 2023

Gel bends in response to external stimuli, which has important technical applications ranging from artificial muscle to drug delivery. Here, we predict a simple and effective method to accelerate the bending of gel using mechanical constraints. We propose an exact theory of the bending dynamics of gel, which gives analytical solutions for the time evolution of the gel curvature and the relaxation time with which the system approaches to its final equilibrium state. The theory shows that the relaxation time of a slender gel confined between two parallel and rigid plates is smaller than it of a free gel with no constraints, indicating that gel bends faster when swollen in the direction parallel to the two confined plates by adding more mechanical constraints. The advantages of this new method is no need to change the microstructure and components of gel itself as previous methods. This finding brings valuable approach in designing soft robotics and healthcare devices, and is subject to experimental test.

Download full-text PDF

Source
http://dx.doi.org/10.1140/epje/s10189-023-00303-9DOI Listing

Publication Analysis

Top Keywords

mechanical constraints
12
gel
9
bending gel
8
gel mechanical
8
gel bends
8
relaxation time
8
accelerating stimuli-responsive
4
stimuli-responsive bending
4
constraints
4
constraints gel
4

Similar Publications

As a typically complex mechanical system, robotic manipulator has the characteristics of complex structure, parameter uncertainty and vulnerability to external interference. From the perspective of second-order servo constraints, this paper proposes a robust constraint following control algorithm, which can meet the control requirements of robotic manipulator system under system uncertainty, which is described by fuzzy set theory. It also guarantees the deterministic performance of uniform boundedness (UB) and uniform ultimate boundedness (UUB).

View Article and Find Full Text PDF

Soft ionic conductors are promising candidates for epidermal electrodes, flexible sensors, ionic skins, and other soft iontronic devices. However, their inadequate ionic conductivity and mechanical properties (such as toughness and adhesiveness) are still the main constraints for their wide applications in wearable bioelectronics. Herein, an all-biocompatible composite gel with a double-network (DN) strategy is proposed.

View Article and Find Full Text PDF

Soft and stretchable strain sensors are crucial for applications in human-machine interfaces, flexible robotics, and electronic skin. Among these, capacitive strain sensors are widely used and studied; however, they face challenges due to material and structural constraints, such as low baseline capacitance and susceptibility to external interference, which result in low signal-to-noise ratios and poor stability. To address these issues, we propose a U-shaped electrode flexible strain sensor based on liquid metal elastomer (LME).

View Article and Find Full Text PDF

Automatic Parking Trajectory Planning Based on Warm Start Nonlinear Dynamic Optimization.

Sensors (Basel)

December 2024

Xi'an Aerospace Chemical Propulsion Co., Ltd., Xi'an 710089, China.

In this paper, we propose an optimal parking path planning method based on numerical solving, which leverages the concept of the distance between convex sets. The obstacle avoidance constraints were transformed into continuous, smooth nonlinear constraints using the Lagrange dual function. This approach enables the determination of a globally optimal parking path while satisfying vehicular kinematic constraints.

View Article and Find Full Text PDF

In the risk assessment of water inrush from coal floors, the amount of measured data obtained through on-site testing is small and random, which limits the prediction accuracy and generalizability of a model based on measured data. Using the distribution characteristics of the measured data and mega-trend diffusion theory, we propose a virtual sample enhancement method based on class distribution mega-trend diffusion technology (CDMTD) and introduce constraints on the class distribution of influencing factors. This method was used to generate virtual samples and enhance the measured database.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!