Learning approach to compensate machine tools thermal deformation based on neural network

Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering

Volumn 36, Issue 1, 2000, Pages

  Yang, Qingdong ^a   Van Den Bergh, C ^a   Vanherck, P ^a   Kruth, J P ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; DEFORMATION; ERROR COMPENSATION; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; SENSORS; TEMPERATURE MEASUREMENT;

THERMAL DEFORMATION;

MACHINE TOOLS;

EID: 0343777315     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/jme.2000.01.092     Document Type: Article

References (5)

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2. Veldhuis S C, Elbestawi M A. Modeling and compensation for five-axis machine tool errors. Manufacturing Science and Engineering, ASME, 1994,68(2):827-838
3. Weck M. Reduction and compensation of thermal errors in machine tools. Annals of CIRP, 1995,44(2):589-598
4. Weck M, Herbst U. Compensation of thermal errors in machine tools with minimum number of temperature probes based on neural network. ASME, 1998,64:735-743
5. Nuttin M. Learning approaches to robotics and manufacturing: [Doctoral Dissertation]. Leuven: Katholieke University of Leuven, 1998