[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Kerr et al., 2006 - Google Patents

Assessment and visualisation of machine tool wear using computer vision

Kerr et al., 2006

View PDF
Document ID
312306255490549576
Author
Kerr D
Pengilley J
Garwood R
Publication year
Publication venue
The International Journal of Advanced Manufacturing Technology

External Links

Snippet

Tool wear monitoring is an integral part of modern CNC machine control. Cutting tools must be periodically checked for possible or actual premature failures, and it is necessary to record the cutting history for a tool's full life of utilisation. This means that an on-line …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/89Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/14Electro-optical investigation, e.g. flow cytometers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/93Detection standards; Calibrating baseline adjustment, drift correction
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical means
    • G01B11/02Measuring arrangements characterised by the use of optical means for measuring length, width or thickness
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical means
    • G01B11/30Measuring arrangements characterised by the use of optical means for measuring roughness or irregularity of surfaces

Similar Documents

Publication Publication Date Title
Kerr et al. Assessment and visualisation of machine tool wear using computer vision
Bradley et al. Surface texture indicators of tool wear-a machine vision approach
Dutta et al. Correlation study of tool flank wear with machined surface texture in end milling
Peng et al. Application of machine vision method in tool wear monitoring
Dutta et al. Application of digital image processing in tool condition monitoring: A review
Kurada et al. A machine vision system for tool wear assessment
Shahabi et al. In-cycle monitoring of tool nose wear and surface roughness of turned parts using machine vision
Datta et al. Progressive cutting tool wear detection from machined surface images using Voronoi tessellation method
Khalifa et al. Image processing for chatter identification in machining processes
Wong et al. Tool condition monitoring using laser scatter pattern
Atli et al. A computer vision-based fast approach to drilling tool condition monitoring
EP2901221B1 (en) Method and device for measuring a tool received in a workpiece processing machine
Bommi et al. Estimation of flank wear in turning of nimonic C263 super alloy based on novel MSER algorithm and deep patten network
Arunachalam et al. Texture analysis for grinding wheel wear assessment using machine vision
Oguamanam et al. A machine vision system for wear monitoring and breakage detection of single-point cutting tools
Lakshmana Kumar et al. Surface roughness evaluation in turning of Nimonic C263 super alloy using 2D DWT histogram equalization
Póka et al. A robust digital image processing method for measuring the planar burr length at milling
CN105184792A (en) Circular saw web wear extent online measuring method
Jourdan et al. A computer vision system for saw blade condition monitoring
Kassim et al. Machine tool condition monitoring using workpiece surface texture analysis
Küllaç et al. Correlation statistics of a Fourier transform feature with flank wear on different sections of turned surface images for real time monitoring applications
Kannan et al. Grinding wheel redress life estimation using force and surface texture analysis
Sukeri et al. Wear detection of drill bit by image-based technique
Warren et al. Two manufacturing applications of the fuzzy K-NN algorithm
Zhang et al. Novel auto-regressive measurement of diamond tool wear in ultra-precision raster milling