Basic Study on Grasping of Soft Object by Finite Element Method Considering Gravity

2006 ◽  
Vol 18 (4) ◽  
pp. 426-432
Author(s):  
Tetsuya Yokoyama ◽  
◽  
Hideki Tanahashi ◽  
Haruhisa Kawasaki ◽  
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Real Time ◽  
Virtual Space ◽  
Basic Study ◽  
Linear Finite Element ◽  
Soft Object ◽  
Element Method

We proposed a method that enables to deform a soft object using a linear Finite Element Method (FEM) in real-time. In the proposed technique, since the calculation amount is reduced to <I>O</I> (<I>n</I>) (<I>n</I>: number of nodes), grasping is enabled in virtual space. In this paper, we studied grasping of a soft object taking gravity into consideration. Some simulations using a stiffness equation containing gravity demonstrated the validity of our proposal.

scholarly journals Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations

2020 ◽  
Vol 143 ◽  
pp. 113083 ◽  
Author(s):  
Oscar J. Pellicer-Valero ◽  
María José Rupérez ◽  
Sandra Martínez-Sanchis ◽  
José D. Martín-Guerrero
Keyword(s):  
Machine Learning ◽  
Finite Element Method ◽  
Finite Element ◽  
Real Time ◽  
Biomechanical Modeling ◽  
Learning Models ◽  
Machine Learning Models ◽  
Element Method

A study of azimuthal electromagnetic wave LWD based on self-adaptive hp finite element method

2018 ◽  
Vol 32 (34n36) ◽  
pp. 1840073
Author(s):  
Hui Li ◽  
Yi-Bo Jiang ◽  
Jian-Wen Cai
Keyword(s):  
Numerical Simulation ◽  
Finite Element Method ◽  
Finite Element ◽  
Electromagnetic Wave ◽  
Real Time ◽  
Simulation Results ◽  
Peak Value ◽  
Element Method ◽  
Self Adaptive ◽  
Hp Finite Element

Azimuthal electromagnetic wave logging-while-drilling (LWD) technology can detect weak electromagnetic wave signal and realize real-time resistivity imaging. It has great values to reduce drilling cost and increase drilling rate. In this paper, self-adaptive hp finite element method (FEM) has been used to study the azimuthal resistivity LWD responses in different conditions. Numerical simulation results show that amplitude attenuation and phase shift of directional electromagnetic wave signals are closely related to induced magnetic field and azimuthal angle. The peak value and polarity of geological guidance signals can be used to distinguish reservoir interface and achieve real-time geosteering drilling. Numerical simulation results also show the accuracy of the self-adaptive hp FEM and provide physical interpretation of peak value and polarity of the geological guidance signals.

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