Improved modelling of a monomorph piezoelectric actuator for linear self-sensing applications

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

The use of soft and stretchable materials allows the development of adaptive robotic systems and human-machine interfaces that are more natural and comfortable to interact with. One of the application fields that benefits the most from these compliant mate ...

This paper presents the experimental validation of a linear recursive state estimation (SE) process for hybrid AC/DC microgrids proposed in the authors' previous work. The SE uses a unified and linear measurement model that relies on the use of synchronize ...

Dielectric elastomer actuators (DEAs) are interesting soft actuators compared to other actuation technologies owing to large achievable actuation strains, high energy density and fast actuation. However, because DEAs need to be operated under high electric ...

Advances in computing have enabled widespread access to pose estimation, creating new sources of data streams. Unlike mock set-ups for data collection, tapping into these data streams through on-device active learning allows us to directly sample from the ...

We analyze the clustering of galaxies using the z = 1.006 snapshot of the CosmoDC2 simulation, a high-fidelity synthetic galaxy catalog designed to validate analysis methods for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). We prese ...

Many scientific systems are studied using computer codes that simulate the phenomena of interest. Computer simulation enables scientists to study a broad range of possible conditions, generating large quantities of data at a faster rate than the laboratory ...

We study the problem of learning unknown parameters of stochastic dynamical models from data. Often, these models are high dimensional and contain several scales and complex structures. One is then interested in obtaining a reduced, coarse-grained descript ...

In this paper, we propose an improvement of a dielectric elastomer actuator (DEA) based augmented aorta. The actuator is a multi-layered tubular DEA subject to the internal pressure of the blood. When activated in synchronisation with the heart, the DEA su ...

Autonomous soft robots require compact actuators generating large strokes and high forces. Electro-fluidic actuators are especially promising, they combine the advantages of electroactive polymers (low-power consumption, fast response, and electrical power ...

Lumped parameter model and mock circulation loop are two tools commonly used in biomedical research to simulate cardiac system in order to study different assist devices. In this paper, a lumped parameter model is proposed to simulate a circulation loop. T ...

Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neural networks. Modeling is a valuable tool in understanding processes at a single scale or the interactions between two adjacent scales and researchers use a ...

Machine intelligence greatly impacts almost all domains of our societies. It is profoundly changing the field of mechanical engineering with new technical possibilities and processes. The education of future engineers also needs to adapt in terms of techni ...

The effects of operational and geometrical uncertainties on Tip Leakage Vortex (TLV) characteristics are investigated in the current research. Geometrical uncertainties are comprised of manufacturing tolerances or gradual geometry degradation over the time ...

Soft pneumatic actuators (SPAs) are highly desirable for interactive robotics applications owing to their unconventional properties like high compliance, safe human-machine interaction and adaptable design space. The SPA dynamic behaviour is governed by pn ...

Modelling and analysis of biological systems is crucial in order to quantitatively explain and predict their behaviour. The importance of modelling in systems biology becomes even more evident when tackling complex, large systems. Approaches that rely on ...

Colour is at the core of chemistry and has been fascinating humans since ancient times. It is also a key descriptor of optoelectronic properties of materials and is often used to assess the success of a synthesis. However, predicting the colour of a materi ...

We consider a learning system based on the conventional multiplicative weight ( MW) rule that combines experts' advice to predict a sequence of true outcomes. It is assumed that one of the experts is malicious and aims to impose the maximum loss on the sys ...

Spatial count data models are used to explain and predict the frequency of phenomena such as traffic accidents in geographically distinct entities such as census tracts or road segments. These models are typically estimated using Bayesian Markov chain Mont ...

The recent development of Dielectric Elastomer Actuators (DEA) requires a new approach to the description of hyperelastic material when the architectures are more complex than a film of material. In this paper, we propose a new technique of identification ...

Soft actuators using pressurized air are being widely used due to their inherent compliance, conformability and customizability. These actuators are powered and controlled by pneumatic supply systems (PSSs) consisting of components such as compressors, val ...

Improved modelling of a monomorph piezoelectric actuator for linear self-sensing applications

Chat with Graph Search

Additively manufactured stretchable zipping electrostatic actuators

Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

Lifetime of dielectric elastomer actuators under DC electric fields

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Perturbation theory models for LSST-era galaxy clustering: Tests with subpercent mock catalog measurements in Fourier and configuration space

Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

Design and modelling of a tubular dielectric elastomer actuator with constrained radial displacement as a cardiac assist device

Wireless Electrohydrodynamic Actuators for Propulsion and Positioning of Miniaturized Floating Robots

Energy Analysis of a Cardiac Assist Device based on Dielectric Elastomer Actuator through an Equivalent Electrical Circuit

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Automated Design: A Journey Across Modelling, Optimization, and Education

On the numerical simulation of a confined cavitating tip leakage vortex under geometrical and operational uncertainties

Flow Path Optimization for Soft Pneumatic Actuators: Towards Optimal Performance and Portability

Modelling the Intracellular Environment under Uncertainty, from Post-translational Modification to Metabolic Networks

A data-driven perspective on the colours of metal-organic frameworks

Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert

Fast Bayesian estimation of spatial count data models

Identification of material parameters of a tubular dielectric elastomer actuator for a cardiac assist device

Pneumatic supply system parameter optimization for soft actuators