scholarly journals Migration of uranium in the system soil-plant (model experiments)

2020 ◽  
Vol 169 ◽  
pp. 01002
Author(s):  
Lydia Bondareva
Keyword(s):  
Control System ◽  
Experimental System ◽  
Uranium Content ◽  
Tagetes Erecta ◽  
Sequential Fractionation ◽  
Soil Extracts ◽  
Plant Model ◽  
Model Experiments ◽  
Radionuclide Content ◽  
Oilfield Water

Migration of uranium-238 in the system soil-plant at an example of a flower crop, marigold (Tagetes erecta) was studied. The above-mentioned components were used to treat the soil after planting. Using the method of sequential fractionation, soil extracts were obtained, with the content of uranium amounting to ~2 %. Upon the introduction of oil and uranium into the experimental system, the portion of uranium increased in the root parts of the plants (µg/sample): from 0.81 to 9.43, and in the above-ground parts (µg/sample): from 0.78 to 17.1; with the introduction of the oilfield water there was the increased extraction of uranium which had earlier been present in the soil while the uranium content in the root and above-ground parts of the plants in the systems containing oil, oilfield water was considerably higher than in the control system (from 1.17 to 6.73 µg as compared with 0.78 in the above-ground parts of the plants and from 9.92 to 12.87 as compared with 0.81 µg in the root parts). Upon the introduction of uranium combined with oil the radionuclide content was significantly different from the content in the root parts (17.1 in the above-ground parts and 9.43 µg in the root parts).

FAULT DIAGNOSIS IN A PROCESS EXPERIMENTAL CONTROL SYSTEM WITH UNKNOWN FACTORS

2008 ◽  
Vol 07 (01) ◽  
pp. 151-155 ◽  
Author(s):  
AKIRA INOUE ◽  
MINGCONG DENG
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Experimental System ◽  
Detection Problem ◽  
Experimental Control ◽  
Blind System Identification ◽  
Experimental Process ◽  
Identification Approach ◽  
Simulation Results ◽  
Detecting Method

A fault detection problem in a process control experimental system with unknown factors is presented in this paper. The fault detecting method is based on blind system identification approach. The experimental system actuator output includes unknown dynamics and unknown fault signal. By using the fault detecting method, the fault signal is detected. Simulation results for the experimental process are presented to show the effectiveness.

An Experimental Study of Tendon Vibration Control System for Flexible Space Structures

1991 ◽  
Author(s):  
Yoshisada Murotsu ◽  
Hiroshi Okubo ◽  
Kei Senda
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Vibration Control ◽  
Transfer Functions ◽  
Mimo Systems ◽  
Experimental System ◽  
Space Structures ◽  
Flexible Beam ◽  
Tendon Vibration ◽  
Large Space

Abstract The idea of a tendon vibration control system for a beam-like flexible space structure has been proposed. To verify the feasibility of the concept, an experimental tendon control system has been constructed for the vibration control of a flexible beam simulating Large Space Structures (LSS). This paper discusses modeling, identification, actuator disposition, and controller design for the experimental system. First, a mathematical model of the whole system of the beam and tendon actuator is developed through a finite element method (FEM). Second, to obtain an accurate mathematical model for designing a controller, unknown characteristic parameters are estimated by using an output error method. The validity of the proposed identification scheme is demonstrated by good agreement between the transfer functions of the experimental system and an identified model. Then, disposition of actuators is discussed by using the modal cost analysis. Finally, controllers are designed for SISO and MIMO systems. The feasibility of the proposed controller is verified through numerical simulation and hardware experiments.

The Role of Variability in Evaluating Ultra High Dilution Effects: Considerations Based on Plant Model Experiments

2007 ◽  
Vol 14 (5) ◽  
pp. 301-305 ◽  
Author(s):  
Daniele Nani ◽  
Maurizio Brizzi ◽  
Lisa Lazzarato ◽  
Lucietta Betti
Keyword(s):  
High Dilution ◽  
Plant Model ◽  
Model Experiments ◽  
Dilution Effects

Fuzzy Control of Hydrogen Generation by the Reaction of Activated Aluminum Particles and Water

2017 ◽  
Vol 5 (1) ◽  
pp. 1-7
Author(s):  
Bui Trong Giap ◽  
Kenji Takahara ◽  
Toshinori Kajiwara ◽  
Koji Maekawa
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Hydrogen Generation ◽  
Pressure Sensors ◽  
Experimental System ◽  
Reaction Vessel ◽  
Water Tank ◽  
Generation System ◽  
Aluminum Particles ◽  
Fuzzy Control System

The purpose of this paper is to design a fuzzy control system for generating hydrogen at a desired level by a reaction between water and activated aluminum particles. The activated aluminum particles are produced shredded aluminum sawdust. It is difficult to characterize the reaction quantitatively because the characteristics of hydrogen generating reaction vary as depending on the samples, the environment of the reaction and so on. The experimental system consists of a fuel cell (FC) of 100[W], a water tank, a reaction vessel, pressure sensors, a water pump, a radiator and a one-chip microcomputer. The fuzzy control system is designed to determine the quantum of water which is supplied to the activated aluminum particles. The error forms a desired value of the pressure of the reaction vessel and the change of the error are chosen as the labels of the fuzzy membership functions. The proposed fuzzy control system is applied to maintain the pressure of the reaction vessel of the developed hydrogen generation system at a certain level. The developed hydrogen generation system is confirmed to provide hydrogen to the FC by experiments under various conditions.

Experimental Research of Impinging Spray with Basic Impinging Scheme

2013 ◽  
Vol 281 ◽  
pp. 351-354
Author(s):  
Lei Chen ◽  
Peng Song ◽  
Guo Kai Xu ◽  
Bao Guo Du ◽  
Wu Qiang Long
Keyword(s):  
High Pressure ◽  
Control System ◽  
Experimental System ◽  
Supply System ◽  
Distribution Area ◽  
Light Path ◽  
Path System ◽  
Visualization Experiments ◽  
And Control ◽  
Image Collection

Visualization experimental system of impinging spray including high-pressure vessel, oil supply system, light path system, image collection and treatment system and control system was designed, and the visualization experiments of basic impinging schemes of flat wall was carried out under existing conditions without laser. The effect of impinging distance on rebounding distance and diffusing area of dripping was analyzed. The results show that both of diffusing distance along the wall and distribution area linearly increased within a certain time under the same impinging distance. Both of diffusing distance along the wall and rebounding distance decreased with the increase in impinging distance.

The Dynamic Characteristics of an Electro-Hydraulic Servovalve

1976 ◽  
Vol 98 (4) ◽  
pp. 395-406 ◽  
Author(s):  
D. J. Martin ◽  
C. R. Burrows
Keyword(s):  
Control System ◽  
Steady State ◽  
Dynamic Characteristics ◽  
Position Control ◽  
Experimental System ◽  
Second Order ◽  
Frequency Responses ◽  
Model Based ◽  
Valve Model ◽  
Position Control System

The frequency responses of an experimental electro-hydraulic position control system and a simulation of the system are compared. Three different valve models are used in the simulation in an attempt to highlight the important parameters of an electro-hydraulic servovalve. It is found that a second order compensated valve model based on steady-state considerations provides a good correlation with the experimental system up to 35Hz and can be used for stability calculations up to 80Hz.

scholarly journals Faults Detection And Level Control In Coupled Tanks

2015 ◽  
Vol 67 (1) ◽  
pp. 155-161
Author(s):  
Camelia Maican
Keyword(s):  
Control System ◽  
Level Control ◽  
Plant Model ◽  
Matlab Simulink ◽  
Level Control System ◽  
Detection And Localization

Abstract This paper presents a mechanism for the detection and localization of faults in a plant, which is equipped with two coupled tanks, using residual methods. The water circuit consists of the upper and lower tanks connected through a system of pipes and valves. The controlled variable is the level in the upper tank. The level control system and the faults detection structure were developed under Matlab Simulink. The faults detection structure allows us to detect two faults that can occur in the plant, separately. The proposed method was theoretically developed and experimentally verified on the plant model.

scholarly journals Physical-chemical characterization of uranium containing sediments

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Lucia Závodská ◽  
Eva Kosorínová ◽  
Juraj Lesný ◽  
Dušan Bodiš
Keyword(s):  
Chemical Characterization ◽  
Uranium Content ◽  
Stream Sediments ◽  
Uranium Mine ◽  
Mountain Range ◽  
Sequential Fractionation ◽  
Sediment Samples ◽  
Physical Chemical ◽  
Groundwater Outflow

The presented paper is intended to study the chemical behaviour of combined geogenicanthropogenic uranium content in specific stream sediments. The sampling points have been chosen with respect to the natural conditions in the locality of groundwater outflow from a former uranium mine adit in Považský Inovec mountain range, near Kálnica village. Besides the total uranium determination and physical-chemical characterization of the relevant water- and sediment samples we carried out modified Tessier type sequential fractionation extractions of natural- and artificially contaminated sediment samples after time dependent agitation in air and in the atmosphere of argon. The obtained results have been compared with those fulfilled with montmorillonite K-10. The total uranium concentrations of the relevant groundwater samples as well as of stream sediments have been determined by ICP-MS using HP 4500. The determinations of uranium in extracts have been accomplished according STN757614, utilizing arsenazo III as a selective complex forming reagent for spectrophotometric determination of uranyl-ions at 650 nm. The total uranium concentration of the groundwater outflow and in the sediment taken in its immediate vicinity has been 31.75±0.35 μg dm-3 and 38.0±2.7 μg g-1 respectively. Unlike montmorillonit K-10, in which the carbonate-bound fraction of uranium after 1 week aeration and agitation in argon atmosphere represents 22.8% and 18.6% respectively, uranium in investigated sediments has been present predominantly in carbonate-bound fraction-reaching under similar conditions 38.6% and 26.6%, respectively.

Testing and Validation of a Series PHEV Control System

2014 ◽  
Author(s):  
Christopher J. Golecki ◽  
Christopher D. Monaco ◽  
Benjamin J. Sattler
Keyword(s):  
Control System ◽  
Development Strategy ◽  
Hybrid Electric Vehicle ◽  
Development Process ◽  
System Development ◽  
National Laboratory ◽  
Argonne National Laboratory ◽  
Department Of Energy ◽  
Plant Model ◽  
Auxiliary Power

EcoCAR 2: Plugging into the Future is an Advanced Vehicle Technology Competition managed by the U.S. Department of Energy at Argonne National Laboratory. The competition challenges 15 universities across North America to reduce the environmental impact of a production vehicle without compromising performance, safety and consumer acceptability. To meet this goal, the Pennsylvania State University Advanced Vehicle Team has designed a series plug-in hybrid electric vehicle (PHEV) capable of achieving a 40 mile all-electric range. An auxiliary power unit (750 cc two-cylinder engine converted to run on E85 fuel) provides extended range greater than 200 miles. A rigorous development process has been followed to provide a control system that meets the safety, performance and fuel economy targets, including fault mitigation. This paper summarizes the control system development strategy, starting with vehicle component selection. The strategies used to develop a control algorithm and plant model in parallel are described. Extensive testing is performed throughout the vehicle development process, including both software-in-the-loop (SiL), hardware-in-the-loop (HiL), and in-vehicle testing. In addition, it will be shown how pertinent testing data plays a crucial role in further plant model developments.

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