A5040047430- Advanced Materials and Mechanics
- Nonlocal and gradient elasticity in micro/nano structures
- Advanced Sensor and Energy Harvesting Materials
- Innovative Energy Harvesting Technologies
- Vibration Control and Rheological Fluids
- Topology Optimization in Engineering
- Anatomy and Medical Technology
- Medical Imaging and Analysis
- Bone fractures and treatments
- Micro and Nano Robotics
- Cellular and Composite Structures
- Composite Structure Analysis and Optimization
- Soft Robotics and Applications
Beihang University
2021-2024
All dielectric materials including ceramics, semiconductors, biomaterials, and polymers have the property of flexoelectricity, which opens a fertile avenue to sensing, actuation, energy harvesting by broad range materials. However, flexoelectricity solids is weak at macroscale. Here, we achieve an ultrahigh flexoelectric effect via composite foam based on PDMS CCTO nanoparticles. The mass- deformability-specific exceeds 10,000 times that solid matrix under compression, yielding...
Soft materials that can produce electrical energy under mechanical stimulus or deform significantly via moderate fields are important for applications ranging from soft robotics to biomedical science. Piezoelectricity, the property would ostensibly promise such a realization, is notably absent typical matter. Flexoelectricity an alternative form of electromechanical coupling universally exists in all dielectrics and generate electricity nonuniform deformation as flexure conversely,...
Abstract Most untethered magnetic soft robots are controlled by a continuously applied field. The accuracy of their motion depends completely on the external field, consequently any slight disturbance may cause dramatic change. Here, we report new structure and driven method design to achieve novel robot, denoted as “BUCK”, which can accurate stable locomotion with weakly dependence robot BUCK consists functional composite materials one central transportation platform four crawling arms,...
Abstract This work proposes a moving morphable component (MMC)‐based topology optimization approach for designing graded lattice flexoelectric nanostructures, which are generally considered to have better properties. To this end, the infill structure is described with use of set components. A coordinate perturbation made description functions components achieve distribution materials. Resorting explicit parameters components, singular disconnected can be naturally controlled lower/upper...
The cover image is based on the Research Article Explicit topology optimization for graded lattice flexoelectric nanostructures via ersatz material model by Weisheng Zhang et al., https://doi.org/10.1002/nme.7255.