Monday, August 31, 2009
ResearchNews:Effects of "Natural" Water and "Added" Water on Microwave Dielectric Properties of Shelled Corn for Sensing Density and Moisture Content
Trabelsi, Samir
Nelson, Stuart
Lewis, Micah
Submitted to: Journal of Microwave Power and Electromagnetic Energy
Publication Type: Peer Reviewed Journal Publication
Acceptance Date: July 8, 2009 Publication Date: July 8, 2009
Publisher's URL: http://www.impi.org/meetings/symposium/
Citation: Trabelsi, S., Nelson, S.O., Lewis, M.A. 2009. Effects of "Natural" Water and "Added" Water oon Microwave Dielectric Properties of Shelled Corn for Sensing Density and Moisture Content. Journal of Microwave Power and Electromagnetic Energy.
Interpretive Summary:
The electrical characteristics of grain known as dielectric properties are used by electronic grain moisture meters for rapid determination of moisture content. Moisture content is important in determining the potential for safe storage of grain, and it must be measured whenever a grain lot is sold. Recent research has shown that measurements on grain at microwave frequencies offer advantages for moisture testing compared to the lower radio frequencies currently used by commercial grain moisture meters. This research has also shown that the moisture content of grain can be rapidly obtained from microwave measurements that determine the dielectric properties of the grain independent of fluctuations in the bulk density (packing) of the grain, which causes errors in the moisture content indicated by currently used moisture meters if it is not taken into account. Therefore the microwave sensing of grain moisture content shows promise for on-line monitoring of moisture in grain and seed. Questions have been raised as to whether dielectric properties of grain of high moisture contents at harvest are different from those of the same grain to which water has been added, after drying, to bring it back to the original moisture level. In this study, microwave dielectric properties of shelled, yellow-dent hybrid field corn were measured at harvest and as the corn dried down to normal storage levels. Then, water was added to hybrid corn lots of normal storage moisture levels and the dielectric properties were measured as moisture content was increased to levels for corn at harvest. Comparing results of the measurements showed that there was no appreciable difference between the natural-moisture and added moisture-lots of shelled corn. Thus, the customary method for adding moisture in research studies does not introduce any complications in research on microwave methods for sensing moisture content in corn. The new information is useful to engineers developing new moisture meters and it will therefore contribute to the goal of providing high quality and healthful products for consumers.
Technical Abstract:
Dielectric properties of samples of shelled corn of ¿natural¿ water content and those prepared by adding water were measured in free space at microwave frequencies and 23 oC. Results of measurements of attenuation, phase shift and dielectric constant and loss factor at 9 GHz show no difference between the samples with ¿natural¿ water and those in which water was added artificially. Bulk densities and moisture contents predicted from calibration equations expressed in terms of dielectric properties of both natural and added water samples agreed closely, and standard errors were less than 1% moisture content and 5% for bulk density.
From http://www.ars.usda.gov
Theory and Application of Dielectric Spectroscopy
"Dielectric spectroscopy can provide information about the segmental mobility of a polymer by probing its dielectric properties. The complex dielectric properties, the loss factor(e") and the relative permittivity(e'), are determined by performing several isothermal scans as a function of frequency. An alternating current(Vrms=0.005-1.1 volts) external electric field is applied across the DUT(Device Under Test) in a capacitor plate configuration. The applied alternating electric field interacts with the electric dipole moments of the DUT."
"Each dielectric mechanism effect has a characteristic relaxation frequency. As the frequency becomes larger, the slower mechanisms drop off. This in turn leaves only the faster mechanisms to contribute to the dielectric storage."
"Dielectric relaxation is the result of a movement of dipoles or electric charges due to a changing electric field in the frequency range of 10^2-10^10 Hz. This mechanism is a relatively slow process when compared with electronic transitions or molecular vibrations which have frequencies above 10^12 Hz. Only when sufficient time is allowed after the application of an electric field for the orientation to attain equilibrium will the maximum polarization, corresponding to the highest observable dielectric constant, be realized in a material."
Dielectric spectroscopymeter
In dielectric spectroscopy the current flowing through a sample cell containing a colloidal suspension and the voltage across this cell are measured as a function of frequency. From this data one can obtain the impedance of the solution as a function of frequency. The impedance can then be separated into the frequency dependent conductivity and relative permittivity of the solution. A schematic of a dielectric spectrometer is given below.
An oscillatory field applied to a colloidal suspension changes the distribution of ions in the electrostatic double layer, as well as the neutral region just outside of the double layer. The applied field polarizes the double layer when time scales of ionic transport processes are fast compared with the period of the oscillatory field. High polarization is manifested as a relative dielectric permittivity that may be much greater than that of the suspending medium. If we increase the frequency of the applied field, the polarization and relative dielectric permittivity decrease and the latter eventually approaches that of the suspending medium. This process, dielectric relaxation, can therefore indicate the time scales of ionic transport processes near particle surfaces.Dielectric spectroscopy characterizes the dynamics of double layer relaxation and yields more information per measurement than static methods such as electrophoresis. Full interpretation of dielectric models requires the use of colloidal electrodynamics. These models usually rely upon electrostatic parameters that are obtained through electrokinetic methods. Thus the availability of both electrokinetic and dielectric techniques offer an advantage for reconciling and interpreting measurements of particle surface structure and electrochemistry.
Other application:
The range of potential applications of dielectric spectroscopy is quite broad. Virtually any physical process change leads to changes in dielectric properties of samples. Process variability is a primary concern for the pharmaceutical industry (1). Exposure to mechanical and thermal stress can cause a change in the physical properties of pharmaceuticals. Such variations are important to control because physical properties generally determine the efficacy of the drug...There are two major properties of dielectric spectroscopy that are typically varied to suit the desired application: the spatial distribution of the interrogation field and the interrogation frequency range....Direct sensing or preconcentrators? There are many cases in which gas or liquid analytes must be sensed in small concentrations close to, or below, the detection threshold of a dielectric spectroscopy measurement device. Direct sensing is simpler than preconcentration; however, direct sensing is not always possible. Preconcentration should be performed in the following cases:
When the analyte is at a concentration at or below the measurement threshold
To select an analyte of interest from a mixture of gases or liquids....
Single frequency or spectroscopy? Relaxation processes in dielectric spectroscopy are very similar to relaxation processes in the optical regime. However, the interrogation frequencies used in dielectric spectroscopy are lower than optical frequencies, so this technique studies molecular interactions such as polymer reconfiguration within a matrix, percolation processes, and moisture diffusion. A major advantage of dielectric spectroscopy is that it can be performed over a wide band of measurement frequencies. The lowest boundary for frequency in existing dielectric spectroscopy is around 1 μHz, and the highest is in THz range. It is rarely practical to go to such extremes; most practical industrial measurements are accomplished in the range from 1 Hz to 100 MHz...
Further reading
A significant amount of literature is available that describes the theoretical aspects of dielectric behavior, algorithms, and signal processing methods used for the processsing of dielectric data and sensor design for dielectric measurements. One of the earliest models describing the frequency dependence of dielectric behavior was proposed by Debye (43). Jonscher describes dielectric relaxation emphasizing solids materials (44). Dielectric spectroscopy also has been explored in detail for polymeric materials (36). An understanding of dielectric behavior for engineers is presented by Coelho (45). Specifically for pharmaceuticals, a comprehensive review of applications is provided by Craig (14). MacDonald provides a review of methods for measurement of dielectric properties (46). A number of algorithms have been proposed for calibration and correlating data to physical property distributions (47–49). Rapid advancements in microtechnology have resulted in an increase in the number and complexity of electrode structures available for dielectric measurements. Notable references for sensor design are also available (50–56). A comprehensive overview of interdigital dielectric sensors is provided by Sundara-Rajan (57). A detailed review of currently available dielectric spectroscopic systems can be found at www.ee.washington.edu/research/seal/pharmatech/ .
Get more from pharmtech.
Reference.
1. author Beau Lambert (Partially From His Master's Research)http://www.psrc.usm.edu/mauritz/dilect.html
2. wikipedia. http://en.wikipedia.org/wiki/Dielectric_spectroscopy
3. Division of Information Technology, Engineering and the EnvironmentLaser Light Scattering and Materials Science Group.
http://www.unisa.edu.au/laser/Research/Dielec.asp
4. Dielectric Spectroscopy: Choosing the Right Approach, Sep 2, 2008By: A. Mathur, K. Sundara-Rajan, G. Rowe, A. V. MamishevPharmaceutical TechnologyVolume 9, Issue 32, pp. 8293
Sunday, August 30, 2009
For Explorers&Designers: USB bus-powered DAQ module
for Message-Based DAQ - Designed for OEMsKey Highlights
8 channels of 16-bit analog input
100 kS/s max total throughput (200 kS/s Burst Mode), 50 kS/s on any one channel
8 digital I/O lines
One 32-bit event counter
Simultaneous sampling (1 A/D converter per input)
Stackable 3.55" x 3.75" board dimensions
Simple messaging protocol
Develop on one computing platform, deploy on many with out-of-the-box support for Windows® and Linux®
Small software footprint
Included accessories: USB cable and a CD containing the MC7000 DAQ Software API, USB-7000 Series Firmware Architecture, a Windows® installer file (msi), and a Zip file containing installation files for Linux® operating systems
Read "Message Based DAQ" Whitepaper
Books Recommendation: Computational methods for electric power systems
Some of the latest books drive attention for both researcher & engineeris in those areas.
1. Computational methods for electric power systems
By Mariesa Cro
below is abstracted Book overview
The sheer size of today's power grid and the increasingly stressed conditions under which power systems operate demand the use of computers for analysis and simulations. Yet commercial software packages often fail or give erroneous results when used to simulate stressed systems. To correctly interpret the results, it is therefore imperative that power engineers understand the underlying numerical algorithms of the software.Computational Methods for Electric Power Systems provides a comprehensive study of the various computational methods that form the basis of many analytical studies of power systems. It presents the analytical background of the algorithms used in many commercially available software packages, thereby enabling readers to make more informed decisions in their use of the software and correctly interpret their results. The book furnishes a well-balanced discussion of the theory and applications of the algorithms and supports them with instructional examples and illustrations.As more and more demands are placed on the nation's power systems, predicting and updating the operating status of a network through systems analysis becomes increasingly important. This book builds the background necessary to successfully perform that analysis and prepares readers to cope with any difficulties they may encounter in practice.
Brief comment.
I have completed reading this book and find a quite clear structure of compuation methods towards traditional analysis and plan towards optimization or decision making.
Aslo, some of the related books can be a deepening minds for study&research.
2. Applied mathematics for restructured electric power systems: optimization ... By Joe H. Chow, Felix F. Wu, James A. Momoh
Book overview
Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.
3. New Computational Methods in Power System Reliability
By David Elmakias
Book overview
Power system reliability is in the focus of intensive study due to its critical role in providing energy supply to the modern society. This book is not aimed at providing the overview of the state of the art in power system reliability. On the contrary, it describes application of some new specific techniques: universal generating function method and its combination with Monte Carlo simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary to power system reliability textbooks. It is suitable for different types of readers. It primarily addresses practising reliability engineers and researchers who have an interest in reliability and performability analysis of power systems. It can also be used as a textbook for senior undergraduate or graduate courses in electrical engineering.
Some of the books can be previewed on Google Books or Amazon website.
Free information about current transformer application
"Many times, the designer wishes to generate a DC signal from an AC current transformer for input to a PLC or data acquisition system, or even as part of a current or motor controller. Creating DC from an AC source creates problems with diode voltage drops and the variances over temperature and current. The following circuit provides an accurate method for creating this DC signal."
From CR MAGNETICS, INC.
http://www.crmagnetics.com/newprod/freesoftware.asp
Saturday, August 29, 2009
Very Low Frequency-Application in Power equipment
"Very low frequency or VLF refers to radio frequencies (RF) in the range of 3 kHz to 30 kHz. "
In the area of electric engineering, VLF commonly refers to frequencies below or equal to 0.1Hz.
Very low frequency(VLF) method is now expanding its application in electric power engineering area, two recently announced products are:
a. transformer moisture analyzing system, where VLF plays very important role.
b. cable insulation and dielectric loss test, where VLF reduces the weight and power compared with traditional methods.
Friday, August 28, 2009
Free download-Freecal for Test and Measurement
By Scott Page
FreeCal is a free 100% .NET suite of utilities and instrument drivers for controlling multiple instruments in a Test and Measurement environment.
Features
Base instrument libraries for Signal Generators, Spectrum Analyzers, Network Analyzers, Power Meters, Function Generators, Universal and RF/Microwave Counters, Attenuator/Switch Drivers, EEPROM Power Sensors, Digital Multimeters and any other type of instrument that can be controlled remotely. All categories have specific instruments that have been coded for compatibility (due to the fact that all instruments have their own specific language for communication).
Charts/graphs are integrated into the code with the use of ZedGraph: A flexible charting library for .NET (Thanks to JChampion for ZedGraph, many sleepless nights have been avoided developing an integrated charting library).
Procedures for Power Sensors, Signal Generators, Spectrum Analyzers and Network Analyzer Calibration Kits have already been developed (so far most of them partially completed due to time), but they are not difficult to create as you will see in the examples below.
Several conversion functions included to aid in the development and presentation of data: Frequency conversion from one range to another (i.e. MHz to GHz), Amplitude and Time conversions are also included as a base for almost all formulas and instrument communication.
I recently started construction of a visual editor that allows "drag and drop" style test creation. It is included in the source and can be found in the demo under the Tools menu.
Integrates with MySQL using the MySQL.NET Connector. I have created a number of data classes that ease the task of saving result data to a MySQL database.
Various forms have been created for several of the instrument categories, like Network Analyzers. One of the most difficult tasks in RF/Microwave is downloading and manipulating data from the Agilent 8500 Series NWA, so I spent a lot of time writing the NWA data transfer classes.
Because every instrument has its own tolerances and capabilities, the drivers have been written to include all of this (any missing information is easily added as it is all structure based).
Instrument drivers and procedures are written with a "One Procedure Any Instrument" mindset. You can write one procedure that can calibrate any instrument of the same category. This is due to each instrument driver including the specifications for each test.
To get detail and download:
http://www.codeproject.com/KB/dotnet/FreeCal.aspx?msg=1710490
Online CT Diagonistics Without Contact of Primary
by swipower @ 2009-08-01 – 08:08:53
The research started from year 2006 and initiated project in year 2007. a sample product being finished in the end of year 2008.
Features:
Internal Insulation Diagnostics
Exciting magnetics shortcomings
Potential Faults
Burden Influence
Trends data analysis
Portable Design
Avoid High Voltage Contact
Application Background:
Current Transformer, Voltage Transformer, Secondary wirings and Electronic energy meters are components of metering loop, among which high-voltage electronic energy meter is online calibrated periodically 6 to 12 months, and even shorter in some substations. But Current Transformer (CT) keeps running for several years until a power off accuracy calibration, metering loss will be difficult to compensate if error runs out of limits. Traditional methods employ offline comparison techniques to verify the accuracy and healthy condition of current transformer, which requires large amount of efforts on both labor and time. Power utilities also try their best to get family data that relates to accuracy or potential fault in order to avoid or decrease sudden power losses. Most common adopted techniques are active ratio, phase error test, burden measurement and harmonics. But burden measurement can only determine if secondary load is within allowed limit, which is just one of several factors that affect metering error. Ratio and phase error measurement require operator to contact primary high-voltage line for an online verification, which adds extra danger and in most cases infeasible. Harmonics gives results which are not easy for decision making of whether CT is running healthily. TM01 is an innovative CT analyzer that focuses on active composite error for metering verification and potential faults that cannot be detected through traditional ways. It also features on low-voltage injection methods that avoid high-voltage contact. Test methods are well in accordance with IEEE CT application Guide and IEC standards.
Active CT background
Factors that influence CT metering error (under active conditions):
1. Turns ratio
2. Load conditions (primary and secondary)
3. DC magnetizing (Remanence)
4. Magnetizing Characteristics
Factors that influence CT operation (Fault):
1. Primary short circuit or abnormal impedance
2. Insulation (Turn to Turn) breakdown
3. Secondary burden (multipoint grounding, joint corrosion, burden out of limit)
4. DC magnetizing (Remanence)
5. Mechanical problem (Gap, vibration)
Major Function of TM-01-X Online CT Analyzer(Also named active ct analyzer,admittance response analyzer)
¨ Active composite error test (going to be announced)
¨ Active magnetizing characteristics test
¨ Active internal wiring insulation analysis
¨ Active loop impedance (admittance) test
¨ Active load/current characteristics
¨ Fault characteristics and trends analysis
¨ Current Harmonics(Optional)
Application Area
¨ Onsite accuracy verification without need to contact primary line
¨ Internal wiring short-circuit/insulation abnormality
¨ DC magnetizing (Remanence abnormal)
¨ Permeability decrease
¨ Contact point corrosion
¨ Multipoint ground/ ground abnormality
¨ Primary line to ground insulation abnormality
¨ Wiring displacement/vibration
¨ Linea (magnetizing) zone Assessment
Major technical parameter
¨ Primary current influence: less than 1.5%
¨ System voltage level: Any but best for 35kV and above
¨ Secondary current: Rated 5A/1A
¨ Ratio: unlimited but accuracy will go down for very low ratio CT.
¨ Rated burden: 0-200VA
¨ Composite error: 0.2%F.S (Upgradable to 0.1%F.S)
¨ Instability: 0.05%
¨ Admittance: 0.001~999.999mS
¨ Harmonics: 50th (Optional)
¨ Temperature: 0~55
¨ System Language: English (German is optional)
¨ Weight: about 4kg.
TM01 Configuration:
1.TM01-A Potential Fault DetectActive Frequency Response Analyzer (AFRA)
2.TM01-B Onsite Accuracy VerificationActive (Composite) Error Analyzer (ACEA)
Contact: Email: swipower@yahoo.com
Taken From: www.diagnostics.blogs.se