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author:

Lin, Shuwen (Lin, Shuwen.) [1] (Scholars:林述温) | Wu, Zhaotong (Wu, Zhaotong.) [2] | Yan, Gongbiao (Yan, Gongbiao.) [3]

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EI PKU CSCD

Abstract:

Neural network model of integrated thermal induced measuring coordinate errors for compensation is built, which takes thermal profile and thermal deformation of the CMM as input variables, and identifies thermal deformation with adaptive resonance neural network ART2 model. The type VIVA-860 CMM is taken for example. Experimental research on building a model of integrated thermal induced measuring coordinate errors for compensation under the environment temperature of 15-25°C is done. It is verified that the new compensation strategy can increase the measuring coordinate accuracy more than four times under thermal conditions, which takes comprehensive utilization of the representative information of the thermal profile and the thermal deformation to build the model of integrated thermal induced coordinate errors for compensation.

Keyword:

Deformation Error compensation Models Neural networks Spatial variables measurement

Community:

  • [ 1 ] [Lin, Shuwen]Fuzhou Univ., Fuzhou 350002, China
  • [ 2 ] [Wu, Zhaotong]Fuzhou Univ., Fuzhou 350002, China
  • [ 3 ] [Yan, Gongbiao]Fuzhou Univ., Fuzhou 350002, China

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Source :

Chinese Journal of Mechanical Engineering

ISSN: 0577-6686

CN: 11-2187/TH

Year: 2001

Issue: 12

Volume: 37

Page: 70-74,78

4 . 6 0 0

JCR@2023

ESI Discipline: ENGINEERING;

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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