A piezoresistive cellular traction force sensor

2013 ◽  
Author(s):  
U. G. Jung ◽  
H. Takahashi ◽  
T. Kan ◽  
K. Matsumoto ◽  
I. Shimoyama
Keyword(s):  
Traction Force ◽  
Force Sensor

scholarly journals Development and Application of a Tandem Force Sensor

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6042
Author(s):  
Zhijian Zhang ◽  
Youping Chen ◽  
Dailin Zhang
Keyword(s):  
Contact Force ◽  
Mechanical Model ◽  
Traction Force ◽  
Force Sensor ◽  
Teaching Experiment ◽  
Contact Forces ◽  
Contact Tasks

In robot teaching for contact tasks, it is necessary to not only accurately perceive the traction force exerted by hands, but also to perceive the contact force at the robot end. This paper develops a tandem force sensor to detect traction and contact forces. As a component of the tandem force sensor, a cylindrical traction force sensor is developed to detect the traction force applied by hands. Its structure is designed to be suitable for humans to operate, and the mechanical model of its cylinder-shaped elastic structural body has been analyzed. After calibration, the cylindrical traction force sensor is proven to be able to detect forces/moments with small errors. Then, a tandem force sensor is developed based on the developed cylindrical traction force sensor and a wrist force sensor. The robot teaching experiment of drawer switches were made and the results confirm that the developed traction force sensor is simple to operate and the tandem force sensor can achieve the perception of the traction and contact forces.

Application of Digital Volume Correlation Algorithm to Cell Mechanics

2009 ◽  
Author(s):  
Hyock J. Kwon ◽  
Boxin Zhao ◽  
Praveen N. P. Rao
Keyword(s):  
Cell Mechanics ◽  
Cross Correlation ◽  
Speckle Pattern ◽  
Traction Force ◽  
Force Sensor ◽  
Digital Volume Correlation ◽  
Linear Elasticity Theory ◽  
3 Dimensional ◽  
Soft Gels ◽  
Cell Motion

This study developed a digital volume correlation (DVC) algorithm based on fast normalized cross-correlation to measure the 3-dimensional deformation of soft gels, which was further utilized as a force sensor for cell mechanics studies. The developed algorithm was applied to the 3-D volume images of a gel acquired by confocal microscope to measure the deformation of the gel. The gel contained uniformly-dispersed florescence-labeled microbeads so as to generate a necessary speckle pattern for cross-correlation. The developed algorithm has been validated both analytically and experimentally, and applied to investigate cell mechanics by measuring the displacement field induced by the cell motion. Then, surface traction force generated by cells can be quantified through the conventional linear elasticity theory without any further assumption.

A six-dimensional traction force sensor used for human-robot collaboration

Mechatronics ◽  
2019 ◽  
Vol 57 ◽  
pp. 164-172 ◽  
Author(s):  
Zhijian Zhang ◽  
Youping Chen ◽  
Dailin Zhang ◽  
Jingming Xie ◽  
Mingyao Liu
Keyword(s):  
Traction Force ◽  
Force Sensor ◽  
Human Robot Collaboration

High‐sensitivity microelectromechanical systems‐based tri‐axis force sensor for monitoring cellular traction force

2016 ◽  
Vol 11 (10) ◽  
pp. 563-567 ◽  
Author(s):  
Nguyen Thanh‐Vinh ◽  
Tomoki Omiya ◽  
Takuya Tsukagoshi ◽  
Kayoko Hirayama ◽  
Kentaro Noda ◽  
...  
Keyword(s):  
Microelectromechanical Systems ◽  
Traction Force ◽  
High Sensitivity ◽  
Force Sensor

Long-term and label-free monitoring for osteogenic differentiation of mesenchymal stem cells using force sensor and impedance measurement

2020 ◽  
Vol 8 (43) ◽  
pp. 9913-9920
Author(s):  
Zhizhong Zhang ◽  
Tianyang Zheng ◽  
Rong Zhu
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Osteogenic Differentiation ◽  
Impedance Measurement ◽  
Traction Force ◽  
Force Sensor ◽  
Label Free ◽  
Cell Impedance ◽  
Cell Traction

Label-free and continuous multimodal measurements of cell traction force and cell impedance for studying osteogenic differentiation of stem cells.

Cell Traction Force Mapping in MG63 and HaCaTs

2013 ◽  
Vol 832 ◽  
pp. 39-44
Author(s):  
Chin Fhong Soon ◽  
Mohamad A. Genedy ◽  
Mansour Youseffi ◽  
Morgan C.T. Denyer
Keyword(s):  
Liquid Crystal ◽  
Force Measurement ◽  
Traction Force ◽  
Force Sensor ◽  
Cell Types ◽  
Traction Forces ◽  
Cell Traction ◽  
A Cell ◽  
Cell Force Measurement ◽  
Cell Force

The ability of a cell to adhere and transmit traction forces to a surface reveals the cytoskeleton integrity of a cell. Shear sensitive liquid crystals were discovered with new function in sensing cell traction force recently. This liquid crystal has been previously shown to be non-toxic, linear viscoelastic and sensitive to localized exerted forces. This paper reports the possibility of extending the application of the proposed liquid crystal based cell force sensor in sensing traction forces of osteoblast-like (MG-63) and human keratinocyte (HaCaT) cell lines exerted to the liquid crystal sensor. Incorporated with cell force measurement software, force distributions of both cell types were represented in force maps. For these lowly contractile cells, chondrocytes expressed regular forces (10 – 90 nN, N = 200) around the circular cell body whereas HaCaT projected forces (0 – 200 nN, N = 200) around the perimeter of poly-hedral shaped body. These forces are associated with the organisation of the focal adhesion expressions and stiffness of the LC substrate. From the results, liquid crystal based cell force sensor system is shown to be feasible in detecting forces of both MG63 and HaCaT.

Experimental measurement of force, torque control and vibration absorber system for intraoperative tele-operated robotic-assisted femoral shaft drilling using air-controlled soft balloon damper

2021 ◽  
pp. 014233122110009
Author(s):  
Orelaja Oluseyi Adewale ◽  
Donghua Shen ◽  
Xingsong Wang ◽  
Lan Li ◽  
Tianzheng Zhao
Keyword(s):  
Soft Tissues ◽  
Wavelet Packet ◽  
Traction Force ◽  
Femoral Fractures ◽  
Femoral Shaft ◽  
Force Sensor ◽  
Torque Control ◽  
Control Measures ◽  
Vibration Absorber ◽  
Robotic Assisted

The use of closed intramedullary nailing fixation and drilling technique is a very common, safe and standard method for treating diaphyseal femoral fractures. However, it has several demerits such as high cutting forces and torque during drilling and this could cause high vibration and result in cracks, tool breakage and necrosis of the already fractured bone. This paper presents the measure of force, torque control and vibration absorber system for intra-operative tele-operated robotic-assisted femoral shaft drilling using air-controlled balloon damper experimentally, since bone is surrounded by soft tissues that can cause more severe injury to the tissue due to high traction force. Simulated femur bone and tissue are used for this experiment. A sensor-based model clamping system embedded with controlled pressurized air balloon to damp drilling vibration was developed; the drilling forces were monitored by the force sensor attached to the end robot effector, while the resulted vibration was measured by contact sensor during the entire surgical drilling. Forces and vibration caused by drilling forces acting on the bone at varying damper pressure at varying spindle drill speed were obtained using (EMS 309 data acquisition and then the data were processed using MATLAB R2015b. The vibration results were processed with wavelet packet transform (WPT) using Fast Fourier transform to analyze the vibration signals, frequencies and amplitude of the vibration. This modeled control system is a good concept, results clearly justify that soft clamping fixation system can be employed to reduce force, torque and vibration without causing harm to the delicate surrounding tissues. This control measures can provide surgeons with real-time information which can assist them in repositioning and repair of fracture bone within control and safe margins. It is believed that this idea will have greater future developmental prospect.

Soil/Tire Interaction Analysis Using FEM and FVM

2005 ◽  
Vol 33 (1) ◽  
pp. 38-62 ◽  
Author(s):  
S. Oida ◽  
E. Seta ◽  
H. Heguri ◽  
K. Kato
Keyword(s):  
Large Scale ◽  
Interaction Analysis ◽  
Yield Criterion ◽  
Surrounding Medium ◽  
Flow Analysis ◽  
Measurement Data ◽  
Traction Force ◽  
Elastoplastic Material ◽  
The Road ◽  
Soil Flow

Abstract Vehicles, such as an agricultural tractor, construction vehicle, mobile machinery, and 4-wheel drive vehicle, are often operated on unpaved ground. In many cases, the ground is deformable; therefore, the deformation should be taken into consideration in order to assess the off-the-road performance of a tire. Recent progress in computational mechanics enabled us to simulate the large scale coupling problem, in which the deformation of tire structure and of surrounding medium can be interactively considered. Using this technology, hydroplaning phenomena and tire traction on snow have been predicted. In this paper, the simulation methodology of tire/soil coupling problems is developed for pneumatic tires of arbitrary tread patterns. The Finite Element Method (FEM) and the Finite Volume Method (FVM) are used for structural and for soil-flow analysis, respectively. The soil is modeled as an elastoplastic material with a specified yield criterion and a nonlinear elasticity. The material constants are referred to measurement data, so that the cone penetration resistance and the shear resistance are represented. Finally, the traction force of the tire in a cultivated field is predicted, and a good correlation with experiments is obtained.

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.

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