scholarly journals The Bacterial Fimbrial Tip Acts as a Mechanical Force Sensor

PLoS Biology ◽  
2011 ◽  
Vol 9 (5) ◽  
pp. e1000617 ◽  
Author(s):  
Pavel Aprikian ◽  
Gianluca Interlandi ◽  
Brian A. Kidd ◽  
Isolde Le Trong ◽  
Veronika Tchesnokova ◽  
...  
Keyword(s):  
Force Sensor ◽  
Mechanical Force

Edge plasma pressure measurements using a mechanical force sensor on the tokamak ISTTOK

2007 ◽  
Vol 49 (11) ◽  
pp. 1783-1790 ◽  
Author(s):  
T Lunt ◽  
C Silva ◽  
H Fernandes ◽  
C Hidalgo ◽  
M A Pedrosa ◽  
...  
Keyword(s):  
Force Sensor ◽  
Plasma Pressure ◽  
Mechanical Force ◽  
Edge Plasma ◽  
Pressure Measurements

Tire Rolling Kinematics Model for an Intelligent Tire Based on an Accelerometer

2020 ◽  
Vol 48 (4) ◽  
pp. 287-314
Author(s):  
Yan Wang ◽  
Zhe Liu ◽  
Michael Kaliske ◽  
Yintao Wei
Keyword(s):  
Elastic Deformation ◽  
Estimation Algorithm ◽  
Force Sensor ◽  
Euler Method ◽  
Rolling Contact ◽  
Body Motion ◽  
Identification Algorithm ◽  
Active Perception ◽  
Kinematics Model ◽  
Ring Model

ABSTRACT The idea of intelligent tires is to develop a tire into an active perception component or a force sensor with an embedded microsensor, such as an accelerometer. A tire rolling kinematics model is necessary to link the acceleration measured with the tire body elastic deformation, based on which the tire forces can be identified. Although intelligent tires have attracted wide interest in recent years, a theoretical model for the rolling kinematics of acceleration fields is still lacking. Therefore, this paper focuses on an explicit formulation for the tire rolling kinematics of acceleration, thereby providing a foundation for the force identification algorithms for an accelerometer-based intelligent tire. The Lagrange–Euler method is used to describe the acceleration field and contact deformation of rolling contact structures. Then, the three-axis acceleration vectors can be expressed by coupling rigid body motion and elastic deformation. To obtain an analytical expression of the full tire deformation, a three-dimensional tire ring model is solved with the tire–road deformation as boundary conditions. After parameterizing the ring model for a radial tire, the developed method is applied and validated by comparing the calculated three-axis accelerations with those measured by the accelerometer. Based on the features of acceleration, especially the distinct peak values corresponding to the tire leading and trailing edges, an intelligent tire identification algorithm is established to predict the tire–road contact length and tire vertical load. A simulation and experiments are conducted to verify the accuracy of the estimation algorithm, the results of which demonstrate good agreement. The proposed model provides a solid theoretical foundation for an acceleration-based intelligent tire.

Piezoelectric Mount Force Sensor of Placement System for Surface Mount Devices.

1997 ◽  
Vol 63 (5) ◽  
pp. 664-668 ◽  
Author(s):  
Daizo TAKAOKA ◽  
Akira SAKAGUCHI ◽  
Yoshitoshi MORITA ◽  
Makoto YAMADA ◽  
Tomomi YAMAGUCHI
Keyword(s):  
Force Sensor ◽  
Surface Mount

Simulation of Cantilever Force Sensor based on Ring Resonator structure

2017 ◽  
Vol 6 (3) ◽  
pp. 25
Author(s):  
Sanghvi Anjali S. ◽  
Sahu Vikas ◽  
Shrivastava Sharad Mohan ◽  
◽  
◽  
...  
Keyword(s):  
Ring Resonator ◽  
Force Sensor ◽  
Resonator Structure
Sign in / Sign up

Export Citation Format

Share Document