Cotton Production and Processing Laboratory Lubbock, TX & Cotton Incorporated Researcher Mathew G. Pelletier.

Slides:



Advertisements
Similar presentations
OFFLINE COMPOSITION MEASURING SENSORS
Advertisements

Object Specific Compressed Sensing by minimizing a weighted L2-norm A. Mahalanobis.
The Nature of Science: Unit 1A Safety, Equipment, and Measurement.
Dr Samah Kotb Lecturer of Biochemistry 1 CLS 432 Dr. Samah Kotb Nasr El-deen Biochemistry Clinical practice CLS 432 Dr. Samah Kotb Nasr.
Biomedical Tracers Biology 685 University of Massachusetts at Boston created by Kenneth L. Campbell, PhD.
12-1 MM2711 Introduction to Marketing Marketing Research Week 12.
Statistical Process Control
Flow Measurement.
Titremetric analysis Dr. Mohammad Khanfar. Concept of Titremetric analysis In general, we utilize certain property of a substance to be analyzed in order.
Level Sensors.
Types of experimental error
Presented By Sandeep Reddy Baddam Roll no
Instrumental Analysis
Chapter 1: The Study of Life
Accuracy Precision % Error
A Shaft Sensorless Control for PMSM Using Direct Neural Network Adaptive Observer Authors: Guo Qingding Luo Ruifu Wang Limei IEEE IECON 22 nd International.
Making Measurements David A. Krupp, Ph.D. PaCES/HIMB Summer Program in Environmental Science.
Demolding ENGR Pre Lab.
What is Science? Chapter 1. Definition: Science is a way of using evidence (data/observations) to understand the natural world Science that follows a.
Fundamentals of Data Analysis Lecture 10 Management of data sets and improving the precision of measurement pt. 2.
The student will demonstrate an understanding of how scientific inquiry and technological design, including mathematical analysis, can be used appropriately.
Building Three-Dimensional Images Using a Time-Reversal Chaotic Cavity
Electric and magnetic fields fluctuating together can form a propagating electromagnetic wave. An electromagnetic wave is a transverse wave, the electric.
Accuracy Precision % Error. Variable is a factor that affects the outcome of an experiment. 3 Types of variables Experimental/ Independent Variable The.
Processing Lab Data MRS. PAGE After Collecting Data = Process Data  Raw Data: the data you collect during lab without any calculations  Qualitative.
Chapter 13 - Analytical Instrumentation 1 Chapter 14 Analytical Instrumentation.
Copyright  2003 by Dr. Gallimore, Wright State University Department of Biomedical, Industrial Engineering & Human Factors Engineering Human Factors Research.
Physical-layer Identification of UHF RFID Tags Authors: Davide Zanetti, Boris Danev and Srdjan Capkun Presented by Zhitao Yang 1.
Moisture Measurement in Paper Pulp Using Fringing Field Dielectrometry Kishore Sundara-Rajan Xiaobei Li Nick Semenyuk Alexander Mamishev Department of.
Physical Science Methods and Math Describing Matter The Scientific Method Measurements and Calculations 1.
Performance Study of Localization Techniques in Zigbee Wireless Sensor Networks Ray Holguin Electrical Engineering Major Dr. Hong Huang Advisor.
Biochemistry Clinical practice CLS 432 Dr. Samah Kotb Lecturer of Biochemistry 2015 Introduction to Quality Control.
Whiteboarding A powerful tool for learning.. Whiteboarding is about sharing information 2) Your whiteboard contains your results presented:  As a graph.
QC/QA.
Team Members: Joshua Struble (EE), Elijah Forney (EE), Thuy-Linh Nguyen (EE), Christopher Hulsebus (EE) Advisors: Glen Hillesland, John Lamont, Robert.
The Physical Sciences Chapter Two: Science and Measurement 2.1 Inquiry and the Scientific Method 2.2 Distance, Time, and Speed 2.3 Experiments and Variables.
BME 353 – BIOMEDICAL MEASUREMENTS AND INSTRUMENTATION MEASUREMENT PRINCIPLES.
Chapter 3 Experimental Error. Significant Figures Significant Figures are the minimum number of digits required to express a value in scientific notation.
Lab Skills Recap Biotech II. Metrology Vocabulary Unit of measurement Accuracy Precision Standards Calibration Verification Traceability Tolerance Errors.
Accuracy & Precision & Significant Digits. Accuracy & Precision What’s difference? Accuracy – The closeness of the average of a set of measurements to.
Student’s Name with USN No.
Chapter 3 Vocabulary Measurement Scientific notation.
Chem. 133 – 2/16 Lecture. Announcements Lab today –Will cover last 4 set 2 labs + start on set 2 labs –Lab Report on electronics labs – due 2/23 (I planned.
Microwave Resonance Technology (MWR) for Process Control in Food Industry Jochen Scholz, Manfred Rahe.
Rui Zhang Heilongjiang Institute of Measurement and Verification P. R. China.
How do we know? Spectroscopy: Experimental Evidence.
LABORATORY ACTIVITIES FOR REGENTS CHEMISTRY. Many laboratory activities require measurements. Science uses the S.I. (Metric System) of measurements.
Unit 1 Objectives. The student will be able to: 1.Recognize, understand, and estimate the size of common metric units. 2.Convert from one metric prefix.
Measurements and Units Chemistry is a quantitative science – How much of this blue powder do I have? – How long is this test tube? – How much liquid does.
Introduction to Lab Techniques Measurements and Calibration.
Sensors and Transducers Grant Agreement No LLP UK-LEONARDO-LMP Project acronym: CLEM Project title: Cloud services for E-Learning in Mechatronics.
G. S. Campbell, C. S. Campbell, D. R. Cobos and M. G. Buehler
AN ORAL PRESENTATION BY ETIM,UNYIMEABASI I. 12/SMS02/038 ACCOUNTING.
Real-time Sierra Nevada water monitoring system Context & need Importance. Climate change introduces uncertainty into water forecasts that are based on.
1 Sensors and Transducers. 2 Physical Process Measurand Signal variable Display X S Measurement M Simple Instrument Model Physical Measurement variable.
Chapter 3- Measurement This powerpoint highlights what you should know and be able to do for the chapter 3 test. Reading this will NOT guarantee you an.
Touch Screen Technology
Department of Agricultural and Biosystems Engineering 4/11/17
CAPACITANCE SENSOR.
Technique for the Measurement of Mechanical Strength and Fracture Characteristics of Micron Diamond Engis R&D.
IB Chemistry Internal Assessment.
Process Control: Introduction to Quality Control
Instrumentation & Measurement (ME342)
Metrics and Measurements
Process Control: Introduction to Quality Control
Compaction Process in the Field
Process Control: Introduction to Quality Control
The Physical Sciences. The Physical Sciences Chapter Two: Science and Measurement 2.1 Inquiry and the Scientific Method 2.2 Distance, Time, and Speed.
Introduction to Analytical Chemistry
Estimation of Subsurface Moisture Variation in Layered Sediments Using Ground Penetrating Radar By Matthew Charlton King’s College London Ground Penetrating.
Presentation transcript:

Cotton Production and Processing Laboratory Lubbock, TX & Cotton Incorporated Researcher Mathew G. Pelletier

Research Goal Development of accurate bale moisture sensing. Focus on issues relevant to wet bales

Adding moisture reduces bale packing forces. This effect minimizes the number of repair cycles required to maintain the bale press. Adding moisture also adds weight back to bale, so there’s also an economic incentive for moisture restoration. Moisture Restoration before the Bale Press

Excess Bale Moisture in storage Causes Change in Color Grade 01364

New CC Loan rules dictate all bales must be certified by the gin to contain less than 7.5% M.C. at ANY point in the bale.

Moisture Sensing Technologies Resistance sensors (bale probes, bale-press) Capacitance roller conveyor Infrared (top 1mm of surface only) Microwave through transmission (2 types) –Signal absorbance (Vomax, Malcalm) –Signal propagation time (USDA-ARS; Pelletier)

Current industry standard for testing bale moisture is By hand-held resistance sensors. How accurate are they really for use with wet cotton bales?

To test the accuracy of the hand- held sensors; A nation-wide test was conducted by all 3 of USDA-ARS cotton gin labs

Hand-held Resistance Sensors for Bale Moisture Measurement

How well do the meters agree to each other?

What are the error sources?

Within-Bale Moisture Variation for very wet bale

Low MHz Frequency Roller Conveyor Capacitance Sensor

Surface Sensors can’t detect interior moisture

How to detect interior wet spots per FSA/CC mandate?

Disadvantages of current microwave moisture sensors Modern Microwave systems average moisture over large sensing areas. The large sampling volume dilutes or misses localized high moisture areas

Experimental USDA-ARS Microwave Sensor for bale moisture

Sensing of local moisture variability critical for wet bale moisture determination Experimental Lubbock Gin Lab Microwave Imaging system in development to sense internal wettest spot in bale.

Impulse response of microwave imager

Microwave Pencil Beam Imaging Can Resolve Interior Moisture

Advantages to Pencil Beam Microwave Imaging Ability to measure wettest spot in bale per new 2006 FSA CC Regulations Local moisture as well as large sample estimation of moisture available through full bale scanning

With what accuracy can the new microwave imaging technique perform quantitative analysis? To test accuracy; the microwave imager was tested on a set of known permittivitty standards (traceable to NIST labs).

Controlled Testing of Microwave Imager on Mini-Cotton bales Goals: Verify new Imaging System has comparable accuracy to standard microwave sensors. Establish cotton bale’s true permittivity for creation of a standard linkage by which all future sensors and cotton bale-moisture can be traced to NIST Laboratory measurements.

Conclusion Wet bales exhibit extreme amounts of local variability. A suitable sensing system for moisture restoration systems must be able to sense local variability and control to the wettest spot in the bale; not the average. New USDA-ARS Microwave Imager shows promise for detection of local moisture variability in addition to average bale moisture

Bale Moisture Sensors must be able to Resolve Interior Spot Moisture, Not just Surface or Average Moisture