Industrial Electronic Institute in Warsaw Welding Department Warsaw University of Technology Institute of Ecological Electric Thermal Engineering Warsaw.

Slides:



Advertisements
Similar presentations
CZĘSTOCHOWA UNIVERSITY OF TECHNOLOGY FACULTY OF MATERIALS PROCESSING TECHNOLOGY AND APPLIED PHISICS Department of Industrial Furnances and Environmental.
Advertisements

The nonlinear compact thermal model of power MOS transistors
Contactless measurement of charge temperature in heating furnaces using digital photopyrometry Introduction Temperature is a basic parameter of engineering.
ME 388 – Applied Instrumentation Laboratory Temperature Measurement Lab.
Experimental Results To evaluate the flame surface fluctuations, the flame surface is defined as the area of surface of revolution [2], given by: where.
Heat Transfer on Electrical Components by Radiation
A Comparison of Heat Flux Through Double- and Single- Paned Windows.
CS485/685 Computer Vision Prof. George Bebis
One Dimensional Steady Heat Conduction problems P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi Simple ideas for complex.
Introduction AD620 Instrumentation Amplifier
Effect of thermo-chemical parameters on the adhesion of scale layer Technical University of Czestochowa, The Department of Industrial Furnaces and Environmental.
CY3236A- PIRMOTION: Pyroelectric Infrared (PIR) Motion Detection Evaluation Kit (EVK)
Automated Inspection Using Machine Vision
High Temperature Emissivity Measurement Investigating the emissivity of welded stainless steel Greg Angelides Rafael Jaramillo Linda McLaren.
The Application of Biosensors in Monitoring Internal Cooking Temperature in Poultry Products Fenghua Jin Bio-imaging & Machine Vision Laboratory University.
Photonics Photonics Devices & System Overview. What is Optoelectronics /Photonics Is there any Difference ? Optoelectronics: Any device that operates.
Lenses Are classified by their Focal Length. The distance from the optical center of a lens to the front surface of the imaging device.
Simple optical method of qualitative assessment of sperm motility: preliminary results Agnieszka Sozańska a, Krystyna Kolwas a, Jacek Galas b, Narcyz Błocki.
WELDING AND GAS METAL ARC WELDING (GMAW)
EFFECTS OF THE VENUS GROUND AMBIENT ENVIRONMENT ON MATERIALS Principal Investigator: Linda Del Castillo Co-Investigators: James Polk, Michael Pauken, Elizabeth.
Pressure drop prediction models o Garimella et al. (2005) o Considered parameters o Single-phase pressure gradients o Martinelli parameter o Surface tension.
W. Thomas Cathey and Edward R. Dowski W. T. Cathey is with the Department of Electrical and Computer Engineering, University of Colorado. E. R. Dowski.
1 FP7 Cooperation Theme 4: NMP Partner Search.
International Conference on Computer Vision and Graphics, ICCVG ‘2002 Algorithm for Fusion of 3D Scene by Subgraph Isomorphism with Procrustes Analysis.
Thermal Energy and Heat TEST REVIEW
Temperature Measurement
Seminar ON SMART SENSOR Submitted by : SUBIR KUMAR GHOSH Roll No. IN-14/04 Electrical & Instrumentation Deptt. B.E 7th Semester JORHAT ENGINEERING COLLEGE,
Sridhar Seetharaman Carnegie Mellon University Department of Materials Science and Engineering Pittsburgh, PA Development of a High Temperature.
Optical Cryoimaging of Rat Kidney and the Importance of Chromosome 13 in Salt-sensitive Hypertension F. Salehpour a, T. Kurth b, A.W. Cowley, Jr b, M.
Application of the inhomogeneous sample model in the piezoelectric spectroscopy of Zn 1-x Be x Te and Cd 1-x Mn x Te mixed crystals. M.Maliński 1) J.Zakrzewski.
Image Restoration Fasih ur Rehman. –Goal of restoration: improve image quality –Is an objective process compared to image enhancement –Restoration attempts.
Ch. 4 Vocabulary – States of Matter
Chapter 2 Properties of Matter. Elements An element is a substance that cannot be broken down into simpler substances. GoldAluminumCarbonIodine.
Application of Bezier splines and sensitivity analysis in inverse geometry and boundary problems Iwona NOWAK*, Andrzej J. NOWAK** * Institute of Mathematics,
Observation of Pore Scale Liquid Behavior with NIR-Microscopy and Advanced Laser Techniques Markus Tuller and Dani Or Dept. of Plants, Soils and Biometeorology,
O NGO – 02 a T EAM M EMBERS Usman Aurakzai (EE) Christina McCourt (EE) Chia-Yuan Chang (C PR E) Andy Schulte (EE)
1 Chapter 2: Geometric Camera Models Objective: Formulate the geometrical relationships between image and scene measurements Scene: a 3-D function, g(x,y,z)
Graduating department: Welding Engineering and Technology of structural Materials WWW:
18.1 Introduction Powder metallurgy is a process by which fine powdered materials are blended, pressed into a desired shape, and then heated to bond.
Ceramics and Glasses Chapter 14. History Ceramics were some of the earliest of mankind’s structural materials Pots Bricks Low Tech High Tech.
Unit 61: Engineering Thermodynamics Lesson 4: Properties of Pure Substances.
Pyrex Grp. 8 Jacob Cua Justin Jao AJ Pineda Berns Mitra.
Kaunas University of Technology Department of Mechanical Engineering and Design T450M105 HIGH TEMPERATURE MATERIALS INTERMETALLICS Professor Submitted.
THERMAL ANALYSIS FOR PREFORMULATION TRIALS
LSST CCD Chip Calibration Tiarra Stout. LSST Large Synoptic Survey Telescope Camera – 1.6 m by 3 m. 3.2 billion pixels kg (~6173 lbs) 10 square.
Department of Materials Engineering - PUC-Rio; Department of Mechanical Engineering – UFMG; Department of Industrial Mechanics – IFMG; Materials Research.
Temperature Sensors.
Temperature Sensors.
MOP UP SUBJECTS.
Ethylene Furnace High Temperature Cameras
Measurements & Instrumentation – Module 3
Introduction Methods Results Conclusions
Electronic Instrumentation Lecturer Touseef Yaqoob
THERMOGRAVIMETRIC ANALYSIS (TGA)
Materials Balance The whole is equal to the sum of the parts. At 250oC, the lead in the alloy = Pb in  + Lead in liquid Let us use 600 g of 80 Pb.
THE EFFECT OFWATER CONTENT ON DAMAGE DEPTH IN TISSUE SUBJECTED TO CO2 LASER, AN EXPERMANTEL AND THEORITCAL STUDY.
Extended Surface Heat Transfer
Subject Name: MANUFACTURING PROCESS Subject Code: 10AE35
Generating Electrical Energy
Pressure drop prediction models
Factors that Influence the Geometric Detection Pattern of Vehicle-based Licence Plate Recognition Systems Martin Rademeyer Thinus Booysen, Arno Barnard.
Dnyanasadhana College, Thane.
INSTRUMENTASI INDUSTRI
Lenses Are classified by their Focal Length.
Ethylene Furnace High Temperature Cameras
Prepared by Dr. Mohamed Ahmed Awad
Thermophysical Properties of Fluids Importance of Accurate Data
Elecbits Electronic shade.
-What Happens to Matter when it changes?
Basic Camera Function The camera converts an optical image into electrical signals that are reconverted by a television receiver into visible screen images.
Presentation transcript:

Industrial Electronic Institute in Warsaw Welding Department Warsaw University of Technology Institute of Ecological Electric Thermal Engineering Warsaw Poland in co-operation with: Computer Engineering Department ( Katedra Informatyki Stosowanej ) TECHNICAL UNIVERSITY OF LODZ Al. Politechniki 11, Lodz, Poland

Computerised System for High Temperature Measurements of Surface Properties Computer Engineering Department ( Katedra Informatyki Stosowanej ) TECHNICAL UNIVERSITY OF LODZ Al. Politechniki 11, Lodz, Poland

Important surface properties: of liquid and solid in contact are measured by this system. andsurface tensionwetting angle Measuring conditions:  wide range of temperatures: up to  different atmospheres 1800 o C

PROCESSING ALGORITHMS IMAGE ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Block diagram of the system Vision unit

view-finder subsystem for the optical infrared filter changer lens CCD camera subsystem for the precise setting of the CCD camera

PROCESSING ALGORITHMS IMAGE ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Block diagram of the system Vision unit

PROCESSING ALGORITHMS IMAGE ADC PHYSICAL PARAMETERS DETERMINATION OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE CONTROLLER TEMPERATURE MEASURMENT Specimen feeding device Block diagram of the system

PROCESSING ALGORITHMS IMAGE ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Melting process of palladium at a temperature of C Block diagram of the system

OPTICAL FILTER CHANGER PROCESSING ALGORITHMS IMAGE ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Block diagram of the system Original image Histogram Thresholding Filtration Segmentation Specimen localisation Measurement of geometrical properties Original image

OPTICAL FILTER CHANGER ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Block diagram of the system PROCESSING ALGORITHMS IMAGE Original image Histogram Thresholding Filtration Segmentation Specimen localisation Measurement of geometrical properties Histogram

ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Original image Histogram Thresholding Filtration Segmentation Specimen localisation Measurement of geometrical properties Thresholding Block diagram of the system PROCESSING ALGORITHMS IMAGE

ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Original image Histogram Thresholding Filtration Segmentation Specimen localisation Measurement of geometrical properties Filtration Block diagram of the system PROCESSING ALGORITHMS IMAGE

ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Original image Histogram Thresholding Filtration Segmentation Specimen localisation Measurement of geometrical properties Segmentation Block diagram of the system PROCESSING ALGORITHMS IMAGE

ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Original image Histogram Thresholding Filtration Segmentation Specimen localisation Measurement of geometrical properties Specimen localisation Block diagram of the system PROCESSING ALGORITHMS IMAGE

ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Original image Histogram Thresholding Filtration Segmentation Specimen localisation Measurement of geometrical properties Measurement of geometrical Block diagram of the system PROCESSING ALGORITHMS IMAGE

PROCESSING ALGORITHMS IMAGE ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Block diagram of the system Geometrical parameters of the specimen Surface tension calculation on the basis of Dorsey’s and Porter’s equations Wetting angle calculation

PROCESSING ALGORITHMS IMAGE ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE Block diagram of the system Geometrical parameters of the specimen Surface tension calculation on the basis of Dorsey’s and Porter’s equations Wetting angle calculation

PROCESSING ALGORITHMS IMAGE ADC PHYSICAL PARAMETERS DETERMINATION TEMPERATURE MEASURMENT TEMPERATURE CONTROLLER OPTICAL FILTER CHANGER PC COMPUTER SPECIMEN INFRARED FILTERS SET CCD CAMERA HEATING ELEMENTS FURNACE THERMOCOUPLE Block diagram of the system Geometrical parameters of the specimen Surface tension calculation on the basis of Dorsey’s and Porter’s equations Wetting angle calculation

INDUSTRIAL APPLICATIONS:  metallurgy  foundry  surface engineering  welding  glass-making industry  manufacturing of composite materials  production of tiles, varnishes and high-temperature paints, glasses and glazes

The results obtained are far more accurate than those obtained by means of the currently applied, extremely time consuming non-automatic methods and the operator’s subjective evaluation. The essential characteristic of the results obtained on the system is their repeatability.