Roughness Control and Surface Texturing in Lubrication 8H35 9H15 Keynote Speaker D
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Management of Large Sets of Image Data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak
Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak Download free books at Karol Kozak Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Download free eBooks at bookboon.com 2 Management of large sets of image data: Capture, Databases, Image Processing, Storage, Visualization 1st edition © 2014 Karol Kozak & bookboon.com ISBN 978-87-403-0726-9 Download free eBooks at bookboon.com 3 Management of large sets of image data Contents Contents 1 Digital image 6 2 History of digital imaging 10 3 Amount of produced images – is it danger? 18 4 Digital image and privacy 20 5 Digital cameras 27 5.1 Methods of image capture 31 6 Image formats 33 7 Image Metadata – data about data 39 8 Interactive visualization (IV) 44 9 Basic of image processing 49 Download free eBooks at bookboon.com 4 Click on the ad to read more Management of large sets of image data Contents 10 Image Processing software 62 11 Image management and image databases 79 12 Operating system (os) and images 97 13 Graphics processing unit (GPU) 100 14 Storage and archive 101 15 Images in different disciplines 109 15.1 Microscopy 109 360° 15.2 Medical imaging 114 15.3 Astronomical images 117 15.4 Industrial imaging 360° 118 thinking. 16 Selection of best digital images 120 References: thinking. 124 360° thinking . 360° thinking. Discover the truth at www.deloitte.ca/careers Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. -
Surface Newsletter // Summer 2021 New Application 3
SUMMER 2021 Newsletter SURFSurface imaging, analysis & metrologyACE news from Digital Surf Join us! www.digitalsurf.com USING FIB-SEM TOMOGRAPHY TO ANALYZE THE CHEMICAL IN THIS COMPOSITION OF A MAGNET ISSUE NEW APPLICATION Investigating next-gen engine components at the nanoscale CUSTOMER STORY Intra-oral scanners for tooth erosion detection RESEARCH Analyzing data from a large- scale multi-instrument project EXPLAINER What are multi-channel cubes? A research team based at JEOL France recently studied the composition of magnet material used SURFACE METROLOGY in the development of DC motors. A FIB-SEM tech- Q&A Revision of ISO 25178-2: nique coupled with Mountains® 9 software analysis what’s coming? provided accurate, visual results. … Turn to page 2 … Register for our webinar Watch our The Microscopy & Microanalysis 2021 Conference & Exhibit will be a virtual edition. Come visit our online booth on August 2-5 and sign- WEBINARS up for the webinar we’ll be giving on “Chemical and morphological analysis in SEM”: bit.ly/3kANjN3 NEWSLETTER // DIGITAL SURF // SUMMER 2021 2 NEW APPLICATION INVESTIGATING NEXT-GEN ENGINE COMPONENTS AT THE NANOSCALE Currently, one of the major challenges in the automotive industry is the development of di- rect current (DC) electrical motors. A DC vehicle motor incorporates strong magnetic fields at the rotor location. The higher the magnetic field in a reduced volume, the better the engine efficiency factor. A research team based at JEOL France re- cently studied the composition of such a magnet using a FIB-SEM technique coupled with a specialized analysis software package. COMPOSITION OF A CERIUM- (a) ALLOYED Nd-Fe-B MAGNET The key component of the engine is the perma- nent magnet located inside the rotor assembly which must have very high efficiency. -
Development of an Experimental Platform for Architectural-Scale Robotics: the Digital Construction Platform by Julian Leland Bell
Development of an Experimental Platform for Architectural-Scale Robotics: The Digital Construction Platform by Julian Leland Bell B.S., Engineering and Public Policy, Swarthmore College, 2012 Submitted to the Department of Mechanical Engineering in Partial Fulfilment of the Requirements for the Degree of Master of Science in Mechanical Engineering at the Massachusetts Institute of Technology September 2017 2017 Massachusetts Institute of Technology. All rights reserved Signature of Author: .................................................................................................................... Department of Mechanical Engineering August 11th, 2017 Certified by: ................................................................................................................................. Neri Oxman Associate Professor of Media Arts and Sciences Thesis Co-Supervisor Certified by: ................................................................................................................................. David L. Trumper Professor of Mechanical Engineering Thesis Co-Supervisor Accepted by: ................................................................................................................................ Rohan Abeyaratne Professor of Mechanical Engineering Chairman, Committee on Graduate Students 1 2 Development of an Experimental Platform for Architectural-Scale Robotics: The Digital Construction Platform by Julian Leland Bell Submitted to the Department of Mechanical Engineering on August 18, 2017 in partial -
3. Morphological Method Based on the Alpha Shape
University of Huddersfield Repository Lou, Shan Discrete algorithms for morphological filters in geometrical metrology Original Citation Lou, Shan (2013) Discrete algorithms for morphological filters in geometrical metrology. Doctoral thesis, University of Huddersfield. This version is available at http://eprints.hud.ac.uk/id/eprint/18103/ The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational or not-for-profit purposes without prior permission or charge, provided: • The authors, title and full bibliographic details is credited in any copy; • A hyperlink and/or URL is included for the original metadata page; and • The content is not changed in any way. For more information, including our policy and submission procedure, please contact the Repository Team at: [email protected]. http://eprints.hud.ac.uk/ DISCRETE ALGORITHMS FOR MORPHOLOGICAL FILTERS IN GEOMETRICAL METROLOGY SHAN LOU A thesis submitted to the University of Huddersfield in partial fulfilment of the requirements for the degree of Doctor of Philosophy The University of Huddersfield May 2013 1 COPYRIGHT STATEMENT i. The author of this thesis (including any appendices and/or schedules to this thesis) owns any copyright in it (the “Copyright”) and s/he has given The University of Huddersfield the right to use such Copyright for any administrative, promotional, educational and/or teaching purposes. -
WORK PROGRAMME of General Directorate of Standardization - ALBANIA (Period 1 July to 31 December 2018)
WORK PROGRAMME of General Directorate of Standardization - ALBANIA (Period 1 July to 31 December 2018) Technical Committee No. 1 “Quality assurance and social responsibility”, 11 standards No. Standard number English title 1. EN ISO 22300:2018 Security and resilience - Vocabulary (ISO 22300:2018) 2. CEN/TS 17159:2018 Societal and citizen security - Guidance for the security of hazardous materials (CBRNE) in healthcare facilities 3. EN ISO 9004:2018 Quality management - Quality of an organization - Guidance to achieve sustained success (ISO 9004:2018) 4. CWA 17145-2:2017 Ethics assessment for research and innovation - Part 2: Ethical impact assessment framework 5. CWA 17145-1:2017 Ethics assessment for research and innovation - Part 1: Ethics committee 6. EN ISO 41011:2018 Facility management - Vocabulary (ISO 41011:2017) 7. EN ISO 41001:2018 Facility management - Management systems - Requirements with guidance for use (ISO 41001:2018) 8. IWA 18:2016 Framework for integrated community-based life-long health and care services in aged societies 9. IWA 16:2015 International harmonized method(s) for a coherent quantification of CO2e emissions of freight transport 10. ISO/IEC Guide 17:2016 ISO/IEC Guide 17:2016Guide for writing standards taking into account the needs of micro, small and medium-sized enterprises 11. ISO 37500:2014 Guidance on outsourcing Technical Committee No. 3 “Electrical and electronical materials”, 59 standards No. Standard number English title 1. EN 50288-12-1:2017 Multi-element metallic cables used in analogue and digital communications and control - Part 12-1: Sectional specification for screened cables characterised from 1 MHz up to 2 000 MHz - 1 Horizontal and building backbone cables 2. -
New 3D Parameters and Filtration Techniques for Surface Metrology, François Blateyron, Quality Magazine White Paper
New 3D Parameters and Filtration Techniques for Surface Metrology François Blateyron, Director of R&D, Digital Surf, France For a long time surface metrology has been based upon contact measurement using 2D profilometers. Over the past twenty years the appearance of 3D profilometers and non-contact gauges has created a need for the standardization and formalization of the analysis of 3D surface texture. This paper presents the current status of the standardization process and includes a short description of the tools and parameters that will become available to users when work on the definition of the new standards, which is being carried out by working groups WG15 and WG16 of ISO technical committee TC213, has been completed. 1. Introduction meeting, and officially transferred to the TC213, in order to Since the first roughness meters appeared at the beginning start the standardization process. of the 1930s, the measurement of surface texture has always been based on 2D profilometry and contact gauges. 3. Towards a complete rework of all We had to wait until the beginning of the 1980s to see the surface texture standards appearance of instruments for measuring 3D surfaces, such In June 2002, the TC213 voted the creation of a new as white light interferometers and 3D profilometers working group [N499] and assigned it the task of [WHI94]. The first tools for analysing measurements developing future international standards for 3D surface generated by these instruments were developed by each texture. This group met for the first time in January 2003, in manufacturer, often extrapolating from existing tools for Cancun. -
Technical Specifications
Technical specifications Measuring head Max. number of measuring points in a single measurement x,y (µm2) 580x580 Image capture module Max. frame rate in (Hz) at full resolution 55 Camera type GigE Adjustment travel for motorized 50 z-axis (mm) Fine adjustment Vertical measuring range (µm) 250 Vertical measuring module (piezoelectric module) Repeat accuracy1 (nm) 10 High performance LED (nm) 505 Light source MTBF (h) 50,000 Typical measuring time (s) 2–8 (depending on the number of confocal sections) Basic configuration Dimensions W×H×D (mm3) 281 x 678 x 281 Measuring system Weight (kg) 15 φ-positioning module (axis of rotation) (degrees) 355 Positioning module y-positioning module (immersion depth) (mm) up to 165 z-positioning module (bore diameter) (mm) 68 - 150 To support the measuring system when not in Dimensions W×H×D (mm3) 600 × 384 × 324 Stand use. Allows modular expansion to liner and/or piston measuring station. Weight (kg) 62 Top deck adapter Adapter plate to position the measuring system on the top deck (includes centering aid) Rolling container 19“ Dimensions W×H×D (mm3) 600 × 600 × 615 Motor controller Positioning module controller Computer type Brand computer / industrial PC System controller Voltage (V) 100-240 Energy supply Frequency (Hz) 50-60 Max. power consumption (W) 700 Standard holder Module to hold the standards used for calibration and verification of the measuring system. Norms Flatness standard, lateral standard, roughness standard, depth standard Lenses 1600S 800XS 320S Lens magnification 10× 20× 50× Lateral measuring range x,y (µm) 110 0 550 220 Lateral measuring range x ∙ y (mm2) 1.21 0.3 0.0484 1) Measurement noise to VDI 2655-1.2 Numerical aperture NA 0.3 0.6 0.8 2) Measuring point distance Working distance (mm) 10.1 0.9 1 Resolution z1 with fine 20 <10 <2 L: long working distance adjustment (nm) S: normal working distance Lateral resolution2 (µm) 1. -
3D Laser Scanning for Heritage Advice and Guidance on the Use of Laser Scanning in Archaeology and Architecture Summary
3D Laser Scanning for Heritage Advice and Guidance on the Use of Laser Scanning in Archaeology and Architecture Summary The first edition of 3D Laser Scanning for Heritage was published in 2007 and originated from the Heritage3D project that in 2006 considered the development of professional guidance for laser scanning in archaeology and architecture. Publication of the second edition in 2011 continued the aims of the original document in providing updated guidance on the use of three-dimensional (3D) laser scanning across the heritage sector. By reflecting on the technological advances made since 2011, such as the speed, resolution, mobility and portability of modern laser scanning systems and their integration with other sensor solutions, the guidance presented in this third edition should assist archaeologists, conservators and other cultural heritage professionals unfamiliar with the approach in making the best possible use of this now highly developed technique. This document has been prepared by Clive Boardman MA MSc FCInstCES FRSPSoc of Imetria Ltd/University of York and Paul Bryan BSc FRICS.This edition published by Historic England, January 2018. All images in the main text © Historic England unless otherwise stated. Please refer to this document as: Historic England 2018 3D Laser Scanning for Heritage: Advice and Guidance on the Use of Laser Scanning in Archaeology and Architecture. Swindon. Historic England. HistoricEngland.org.uk/advice/technical-advice/recording-heritage/ Front cover: The Iron Bridge is Britain’s best known industrial monument and is situated in Ironbridge Gorge on the River Severn in Shropshire. Built between 1779 and 1781, it is 30m high and the first in the world to use cast iron construction on an industrial scale. -
NIST SURFACE ROUGHNESS and STEP HEIGHT CALIBRATIONS, Measurement Conditions and Sources of Uncertainty T.V
NIST SURFACE ROUGHNESS AND STEP HEIGHT CALIBRATIONS, Measurement Conditions and Sources of Uncertainty T.V. Vorburger, T. Brian Renegar, A.X. Zheng, J-F. Song, J.A. Soons, and R.M. Silver Parameters of surface roughness and step height are currently measured at the National Institute of Standards and Technology (NIST) by means of a computerized/stylus instrument. For roughness height parameters, we use a calibration ball as a master to calibrate the instrument to be employed during a measurement. Profiles of the calibrating master and the roughness sample under test are stored in a computer. For roughness spacing parameters, we use an interferometrically calibrated Standard Reference Material (SRM) to check the calibration of the drive-axis encoder of the stylus instrument. In measurement of roughness, surface profiles are taken with a lateral sampling interval of 0.125 m, typically over an evaluation length of 4 mm. Three parameters of the instrumentation are important in the specification of roughness measurements. These are the roughness filter long wavelength cutoff (λc), the roughness filter short wavelength cutoff (λs), and the stylus radius. The nominal filter cutoff λc is 0.8 mm, and the nominal filter cutoff λs is 2.5 m. These filter transmission characteristics are in accordance with the phase-correct Gaussian filter described in ASME B46.1-2009.[1] The stylus has a radius of 1.52 µm ± 0.15 µm (with a coverage factor k = 2), calibrated by measuring a standard wire with a calibrated radius and by the razor blade trace method[1-6]. An iterative computer algorithm[5,6] is used to calculate the effective radius from the razor blade trace method. -
Diapositive 1
MountainsMap® SPM Surface metrology software for scanning probe microscopes Highly intuitive, state of the art imaging and analysis MountainsMap® SPM software is a best in class solution for Powered by industry-standard Mountains Technology®, SPM imaging and analysis for nanotechnology and MountainsMap® SPM runs in a highly intuitive desktop nanoscience applications . It inputs multi-channel images publishing environment that takes all of the pain out of (topography, phase, deflection, etc.) from SPM’s (AFM’s, creating a surface metrology report. The standard STM’s, NSOM’s). You can manipulate the images MountainsMap® SPM software can be enhanced by adding simultaneously, overlay any image (for example phase) on optional modules for surface stitching (the automatic the surface topography to facilitate the study of correlations, assembly of multiple surface into a single surface), grains and of course study any image independently. Intelligent and particles analysis, force spectroscopy, advanced surface filters ensure that you see high quality images of everything texture analysis, nano-contour analysis, spectral analysis and that the SPM has measured. You carry out geometric filtering, the analysis of surface evolution, wavelets analysis, analysis, analysis of roughness and surface texture, image co-localization and statistics. Report functional analysis and more, all in accordance with the latest standards and methods. Analyze Analyze Visualize Visualize Powered by Mountains Technology® Work comfortably in a desktop publishing environment with full metrological traceability Visual analysis reports Powerful automation features Working in one of six European languages, Japanese, Any step can be fine tuned at any time and all of the Korean or Mandarin Chinese, you build a visual analysis dependent steps are recalculated automatically. -
Give Your Profilometer the Very Best in Surface Analysis Software
www.digitalsurf.com Give your profilometer the very best in surface analysis software What’s inside MountainsMap® 8? Used by engineers, scientists and metrologists worldwide, MountainsMap® software is the gold standard in profile (2D) and areal (3D) surface texture analysis for use with profilometers and other surface measuring instruments. Selected dedicated features Ra Surface roughness Surface geometry Calculate roughness and surface texture Analyze surface geometry: calculate dis- parameters according to ISO 25178, ISO tances, areas, angles, step heights, volumes 4287, ISO 13565 and other standards. and much more. New in version 8: Freeform surface d (shell) analysis Advanced contour Sub-surface analysis Apply geometric dimensioning and toler- Partition regions of interest, then study them ancing (GD&T). Fit elements, calculate form in the same way as complete measured deviation and compare with CAD models. surfaces. Data correction High quality 3D views Core benefits Prepare your measured surface data for View surface topography in high quality 3D MountainsMap® 8 is based on Digital Surf’s Mountains® software platform, widely recognized analysis by removing outliers and noise. and visualize profiles, images, series etc. as the industry-standard and tool of choice for surface metrology and image analysis. It is our goal to provide high-performance yet easy-to-use tools to metrologists, researchers and engineers addressing the scientific challenges of tomorrow. Automotive Document layout Total traceability Aerospace Metallurgy Organize steps of your surface data pro- The analysis workflow lets you see and Manufacturing cessing on 1+ pages & publish them directly revert back to analysis steps applied to data Data storage Semiconductors Powerful automation Works with any profiler Materials science Green energy Automate your repetitive work and speed MountainsMap® can process data from any up your batch analysis process profilometer, 2D or 3D, contact or optical Optics Etc. -
Optical 3D Microscopy EN See More
Optical 3D Microscopy EN see more Optical 3D surface metrology for industry and research Research & Process Production Development control control The μsurf platform – one technology, many benefits Maximum performance Combination of high measurement point density and measurements within seconds High precision with 16Bit HDR-technology Modern imaging sensors, high-performance optics and linear encoders for standard-compliant measurements Real 3D measurement data Physical data aquisition with patented confocal multi-pinhole technology Intuitive operation Well-thought out operating concept and ergonomic workplace solutions Easy automation User-independent serial measurements compliant with industry requirements Robust construction High level of repeatability due to practically conceived industrial design High level of flexibility Modular hardware component design, powerful software solutions and standardized interfaces 2 3 Quality and standard compliance f The innovative μsurf technology delivers high resolution 3D mea- surements of surfaces. It thus enables new insights into surface structures and treatment processes. f The confocal principle used in the surface measurement allows the data to be presented as true height coordinates (x, y, z). A precise evaluation is only possible with this quantitative information. f Numerous ISO-compliant profile and surface parameters ensure the comparability and usability of the results, both in R&D and in production. f NanoFocus always implements the latest standards in measuring systems and software. Hardness indentation SEC Speed and flexibility f The fast image acquisition of μsurf systems delivers high resolution 3D data sets in only a few seconds. f Additionally, the sample preparation required by other technologies can be dispensed with (e.g. anti-reflective coatings or sputtering).