A new approach to identifying the elastic behaviour of a manufacturing machine

International Journal of Machine Tools and Manufacture

Volumn 48, Issue 14, 2008, Pages 1569-1577

  Cano, T ^a,b   Chapelle, F ^a   Lavest, J M ^b,c   Ray, P ^a  

^a IFMA/UBP Campus des Cezeaux   (France)

^b CNRS   (France)

^c UNIVERSITÉ CLERMONT AUVERGNE   (France)

Author keywords

Computed vision; Dynamic model; Elastic deformation; High speed machining; Identification

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOLOGICAL ORGANS; CAMERAS; COLOR IMAGE PROCESSING; COMPUTER VISION; DEFORMATION; ELASTIC DEFORMATION; FORECASTING; IDENTIFICATION (CONTROL SYSTEMS); IMAGE PROCESSING; MACHINE COMPONENTS; MACHINERY; MODAL ANALYSIS; QUALITY CONTROL; REAL TIME CONTROL; REAL TIME SYSTEMS; SENSORS; STANDARDS; STRUCTURAL DYNAMICS; TIME DOMAIN ANALYSIS;

COMPUTED VISION; DEFORMATION PREDICTION; DYNAMIC MODEL; DYNAMIC SOLICITATIONS; ELASTIC BEHAVIOUR; ELASTIC MODELING; HIGH SPEED MACHINING; IDENTIFICATION; IDENTIFICATION METHODS; IDENTIFICATION PROCESSES; IMAGE SAMPLING; INERTIAL SENSORS; MACHINE PARTS; MANUFACTURING MACHINES; MASS-SPRING-DAMPER; MAXIMUM ERROR; MEASUREMENT SYSTEMS; MECHANICAL DESIGNS; MEGA PIXELS; NEW APPROACHES; NUMERICAL CONTROL; ON TIME; POINTS OF INTEREST; PRODUCTION MACHINING; REAL-TIME CONTROLS; REQUIRED PRECISION; RIGID BODIES; SAMPLING FREQUENCIES; VISION DATA;

MACHINE DESIGN;

EID: 49949095540     PISSN: 08906955     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmachtools.2008.06.003     Document Type: Article

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