Nothing Special   »   [go: up one dir, main page]

Morozov et al., 2012 - Google Patents

Quantitative microstructural investigation of carbon-black-filled rubbers by AFM

Morozov et al., 2012

View PDF
Document ID
17356171111985527019
Author
Morozov I
Lauke B
Heinrich G
Publication year
Publication venue
Rubber chemistry and technology

External Links

Snippet

A new technique is proposed for analysis of the microstructure of carbon-black-filled rubbers using atomic force microscopy (AFM) images for data processing. The idea consists of segmenting the continuous relief of an AFM scan into isolated fragments that reflect the filler …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Electro-optical investigation, e.g. flow cytometers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination

Similar Documents

Publication Publication Date Title
Morozov et al. Quantitative microstructural investigation of carbon-black-filled rubbers by AFM
Pegel et al. Spatial statistics of carbon nanotube polymer composites
Glaskova et al. Method of quantitative analysis of filler dispersion in composite systems with spherical inclusions
Du et al. Laboratory application of imaging technology on pavement material analysis in multiple scales: A review
Herrera-Navarro et al. A new measure of circularity based on distribution of the radius
Gruber et al. 3D morphological characterization of carbon-black aggregates using transmission electron microscopy
Pons et al. Particle shape characterization by image analysis
Glanowski et al. Combined techniques and relevant image processing for quantitative statistical characterization of inclusions in elastomers
CN109087288B (en) Method for measuring dispersibility of carbon black in rubber
Morozov et al. Quantitative study of filled rubber microstructure by optical and atomic force microscopy
Morozov Identification of primary and secondary filler structures in a polymer matrix by atomic force microscopy images analysis methods
Kallungal et al. QUANTITATIVE ANALYSIS OF CARBON BLACK AGGLOMERATES MORPHOLOGY IN ELASTOMER COMPOSITES BASED ON X-RAY TOMOGRAPHY BY MEANS OF NUMERICAL CLUSTERING
Walther et al. Microstructural analysis of lignocellulosic fiber networks
Xu et al. Self-adaptive grinding for blind tip reconstruction of AFM diamond probe
Olbert et al. Size and shape analysis of micro-to nano-particles of quartz powders using advanced electron microscopy and laser diffraction methods
KR102282130B1 (en) Analysis method of dispersion for microstructure
Iturrondobeitia et al. 3D TEM reconstruction and segmentation process of laminar bio-nanocomposites
Ibeh et al. PLATYMATCH–A particle-matching algorithm for the analysis of platy particle kinematics using X-ray Computed Tomography
Liu et al. Experimental study on manufactured sand shape detection by image method
Willibald Ice spheres in snow mechanics: microstructural analyses, experiments, and simulations
Yazdi et al. Automated segmentation of concrete images into microstructures: A comparative study
Marchant et al. Quantifying structure regularity in fluorescence microscopy cell images using a novel multi-dimensional approximate entropy metric
Hermawati et al. Automatic Filler Dispersion Quantification in Microstructure Images of Bottom Ash Reinforced Polymer Composite
Ilyas et al. A robust algorithm for fruits recognition system
Herrera Navarro et al. Characterization of the roundness degree of graphite nodules in ductile iron: A new discrete measure independent to resolution