Electrical capacitance sensor array to measure density profiles of a vibrated granular bed

2015 ◽  
Vol 270 ◽  
pp. 10-19 ◽  
Author(s):  
Karol Asencio ◽  
W. Bramer-Escamilla ◽  
Gustavo Gutiérrez ◽  
Iván Sánchez
Keyword(s):  
Sensor Array ◽  
Electrical Capacitance ◽  
Granular Bed ◽  
Capacitance Sensor ◽  
Density Profiles

Design and Development of Capacitance Sensor Array for Analyzing the Non-Homogeneity in Biological Materials

2018 ◽  
pp. 70-96 ◽  
Author(s):  
Sahana Apparsamy ◽  
Kamalanand Krishnamurthy
Keyword(s):  
Sensor Array ◽  
Soft Tissues ◽  
Imaging System ◽  
Learning Algorithm ◽  
Automated Analysis ◽  
Biological Materials ◽  
Jaccard Index ◽  
Capacitance Sensor ◽  
Laser Imaging ◽  
Morphological Variations

Soft tissues are non-homogeneous deformable structures having varied structural arrangements, constituents, and composition. This chapter explains the design of a capacitance sensor array for analyzing and imaging the non-homogeneity in biological materials. Further, tissue mimicking phantoms are developed using Agar-Agar and Polyacrylamide gels for testing the developed sensor. Also, the sensor employs an unsupervised learning algorithm for automated analysis of non-homogeneity. The reconstructed capacitance image can also be sensitive to topographical and morphological variations in the sample. The proposed method is further validated using a fiberoptic-based laser imaging system and the Jaccard index. In this chapter, the design of the sensor array for smart analysis of non-homogeneity along with significant results are presented in detail.

Real-time monitoring of adipocyte differentiation using a capacitance sensor array

Lab on a Chip ◽  
2013 ◽  
Vol 13 (17) ◽  
pp. 3410 ◽  
Author(s):  
Rimi Lee ◽  
Inji Jung ◽  
Miyoung Park ◽  
Hunjoo Ha ◽  
Kyung Hwa Yoo
Keyword(s):  
Real Time ◽  
Sensor Array ◽  
Adipocyte Differentiation ◽  
Real Time Monitoring ◽  
Capacitance Sensor

Velocity Measurement for Flow Particles by Using Spatial Filtering Technique Based on Sensor Array

2012 ◽  
Vol 508 ◽  
pp. 263-266 ◽  
Author(s):  
Zeng Xi Lu ◽  
Gang Yang ◽  
Zeng Shuang Wang
Keyword(s):  
Particle Velocity ◽  
Velocity Measurement ◽  
Sensor Array ◽  
Spatial Filtering ◽  
Spatial Filter ◽  
Capacitance Sensor ◽  
Filtering Method ◽  
Filtering Technique ◽  
Moving Particle ◽  
Particle Velocity Measurement

In comparison with cross correlative method based particle velocity measurement, the spatial filtering method for particle velocity measurement has the advantages of simplicity of the measurement system and convenience of data processing. In the paper a capacitive velocimeter, based on the spatial filtering method, is described. In this approach a capacitance sensor array has been used as a spatial filter for particle velocity measurements. Experiments were performed on a test rig and the experimental results show that the system relative error is within ±4% over a velocity range of 2-5m/s for a moving particle.

scholarly journals Segmented Capacitance Sensor with Partially Released Inactive Segments

2015 ◽  
Vol 46 (3) ◽  
pp. 95-99 ◽  
Author(s):  
Jakub Lev ◽  
V. Prošek ◽  
P. Novák ◽  
F. Kumhála ◽  
M. Wohlmuthová
Keyword(s):  
Mathematical Model ◽  
Mass Flow ◽  
Electrical Capacitance Tomography ◽  
Material Distribution ◽  
Electrical Capacitance ◽  
Capacitance Sensor ◽  
Good Correspondence ◽  
Capacitance Tomography ◽  
The Mathematical Model

Abstract Material throughput measurement is important for many applications, for example yield maps creation or control of mass flow in stationary lines. Quite perspective can be the capacitive throughput method. Segmented capacitance sensor (SCS) is discussed in this paper. SCS is a compromise between simple capacitive throughput sensors and electrical capacitance tomography sensors. The SCS variant with partially released inactive segments is presented. The mathematical model of SCS was created and verified by measurements. A good correspondence between measured and computed values was found and it can be stated that the proposed mathematical model was verified. During measurement the voltage values on the inactive segments were monitored as well. On the basis of the measurement there was found that these values are significantly influenced by material distribution.

Sign in / Sign up

Export Citation Format

Share Document