scholarly journals Multiscale finite element modeling of nonlinear behavior of polycrystalline piezoceramics with account of tetragonal and rhombohedral phases

2017 ◽  
Vol 6 ◽  
pp. 309-315
Author(s):  
Pudeleva Olga ◽  
Semenov Artem ◽  
Melnikov Boris
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Nonlinear Behavior ◽  
Element Modeling ◽  
Multiscale Finite Element

Multiscale finite element modeling of superelasticity in Nitinol polycrystals

2008 ◽  
Vol 43 (5) ◽  
pp. 573-584 ◽  
Author(s):  
Arkaprabha Sengupta ◽  
Panayiotis Papadopoulos ◽  
Robert L. Taylor
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Element Modeling ◽  
Multiscale Finite Element

scholarly journals Finite Element Modeling in the Design Process of 3D Printed Pneumatic Soft Actuators and Sensors

Robotics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 52 ◽  
Author(s):  
Charbel Tawk ◽  
Gursel Alici
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Design Process ◽  
Three Dimensional ◽  
Nonlinear Behavior ◽  
Robotic Systems ◽  
Element Modeling ◽  
And Topology ◽  
3D Printed ◽  
Soft Actuators

The modeling of soft structures, actuators, and sensors is challenging, primarily due to the high nonlinearities involved in such soft robotic systems. Finite element modeling (FEM) is an effective technique to represent soft and deformable robotic systems containing geometric nonlinearities due to large mechanical deformations, material nonlinearities due to the inherent nonlinear behavior of the materials (i.e., stress-strain behavior) involved in such systems, and contact nonlinearities due to the surfaces that come into contact upon deformation. Prior to the fabrication of such soft robotic systems, FEM can be used to predict their behavior efficiently and accurately under various inputs and optimize their performance and topology to meet certain design and performance requirements. In this article, we present the implementation of FEM in the design process of directly three-dimensional (3D) printed pneumatic soft actuators and sensors to accurately predict their behavior and optimize their performance and topology. We present numerical and experimental results to show that this approach is very effective to rapidly and efficiently design the soft actuators and sensors to meet certain design requirements and to save time, modeling, design, and fabrication resources.

Sign in / Sign up

Export Citation Format

Share Document