scholarly journals Dynamics of feed water flow rate control system with low- noise regulator

2017 ◽  
Vol 16 (1) ◽  
pp. 75
Author(s):  
E. G. Berestovitskiy ◽  
P. I. Kizilov ◽  
A. N. Kruchkov ◽  
N. V. Pialov
Keyword(s):  
Control System ◽  
Water Flow ◽  
Flow Rate ◽  
Rate Control ◽  
Water Flow Rate ◽  
Low Noise ◽  
Feed Water ◽  
Flow Rate Control

scholarly journals Curcuit-design solutions for producing devices of feed water flow rate control systems

2017 ◽  
Vol 15 (4) ◽  
pp. 184
Author(s):  
E. G. Berestovitsky ◽  
Yu. A. Gladilin ◽  
N. V. Pyalov ◽  
M. V. Solovyev ◽  
M. A. Ermilov
Keyword(s):  
Control Systems ◽  
Water Flow ◽  
Flow Rate ◽  
Rate Control ◽  
Water Flow Rate ◽  
Feed Water ◽  
Design Solutions ◽  
Flow Rate Control

Vision-Based Real-Time Microflow-Rate Control System for Cell Analysis

2016 ◽  
Vol 28 (6) ◽  
pp. 854-861 ◽  
Author(s):  
Tadayoshi Aoyama ◽  
◽  
Amalka De Zoysa ◽  
Qingyi Gu ◽  
Takeshi Takaki ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Control System ◽  
Real Time ◽  
Flow Rate ◽  
Rate Control ◽  
Microfluidic Devices ◽  
Cell Analysis ◽  
Time Flow ◽  
On Chip ◽  
Flow Rate Control

[abstFig src='/00280006/09.jpg' width='300' text='Snapshots of particle sorting experiment using our system' ] On-chip cell analysis is an important issue for microtechnology research, and microfluidic devices are frequently used in on-chip cell analysis systems. One approach to controlling the fluid flow in microfluidic devices for cell analysis is to use a suitable pumps. However, it is difficult to control the actual flow-rate in a microfluidic device because of the difficulty in placing flow-rate sensors in the device. In this study, we developed a real-time flow-rate control system that uses syringe pumps and high-speed vision to measure the actual fluid flow in microfluidic devices. The developed flow-rate control system was verified through experiments on microparticle velocity control and microparticle sorting.

CFD Simulation of Fine Particle Gravity Separation in Hindered-settling Bed Separators

2007 ◽  
Vol 2 (3) ◽  
Author(s):  
Y. K. Xia
Keyword(s):  
Water Flow ◽  
Flow Rate ◽  
Cfd Simulation ◽  
Fine Particles ◽  
Particle Density ◽  
Fluid Dynamic ◽  
Water Flow Rate ◽  
Fluid Motion ◽  
Feed Water ◽  
Hindered Settling

In the modeling of hindered-settling bed separators, the published separation mechanisms are based on differences of particle density and size distributions, without the details of the complexity of particles-liquid interactions. A fluid dynamic model for the separator is developed using the Euler-Lagrangian approach of Computational Fluid Dynamics (CFD). Fluid motion is obtained from solving the movement of liquid governing equations. The damping effect on flow patterns caused by the movement of particles resulting in liquid-particle coupling is included in the models. Effects of particle size, particle density compositions, feed rate, feed water flow rate, and upward fluidizing water flow rate, etc., are simulated in the 2-D separation model. Flow pattern effects on the separation of fine particles in the separators with center downward-flow and side cross-flow feed systems are investigated.

1P1-M03 Real-Time Flow-Rate Control System for Cell sorting

2015 ◽  
Vol 2015 (0) ◽  
pp. _1P1-M03_1-_1P1-M03_2
Author(s):  
Tadayoshi AOYAMA ◽  
Zoysa Amalka ◽  
Qingyi GU ◽  
Takeshi TAKAKI ◽  
Idaku ISHII
Keyword(s):  
Control System ◽  
Real Time ◽  
Flow Rate ◽  
Rate Control ◽  
Cell Sorting ◽  
Time Flow ◽  
Flow Rate Control

scholarly journals Implementation and Experimental Verification of Flow Rate Control Based on Differential Flatness in a Tilting-Ladle-Type Automatic Pouring Machine

2019 ◽  
Vol 9 (10) ◽  
pp. 1978
Author(s):  
Yoshiyuki Noda ◽  
Yuta Sueki
Keyword(s):  
Control System ◽  
Control Systems ◽  
Molten Metal ◽  
Flow Rate ◽  
Experimental Verification ◽  
Rate Control ◽  
Differential Flatness ◽  
Type Flow ◽  
Flow Rate Control ◽  
Better Than

In this paper, we study an advanced pouring control system using a tilting-ladle-type automatic pouring machine. In such a machine, it is difficult to precisely pour the molten metal into the pouring basin of the mold, as the outflow from the ladle can be indirectly controlled by controlling its tilt. Therefore, model-based pouring control systems have been developed as a part of conventional studies to solve this problem. In the results of a recent study, the efficacy of a pouring flow rate control system based on differential flatness has been verified, by performing a simulation. In this study, we apply the flow rate control system based on differential flatness to a tilting-ladle-type automatic pouring machine, using experiments to verify the efficacy of the flow rate control system in suppressing any disturbances. In these experiments, the tracking performance using the developed flow rate control system was better than the performance obtained using a conventional feed-forward-type flow rate control system.

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