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Efficient thermal error prediction in a machine tool using finite element analysis

Mian, Naeem S., Fletcher, Simon, Longstaff, Andrew P. and Myers, Alan (2011) Efficient thermal error prediction in a machine tool using finite element analysis. Measurement Science and Technology, 22 (8). 085107. ISSN 0957-0233

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    Thermally induced errors have a major significance on the positional accuracy of a machine
    tool. Heat generated during the machining process produces thermal gradients that flow
    through the machine structure causing linear and nonlinear thermal expansions and distortions
    of associated complex discrete structures, producing deformations that adversely affect
    structural stability. The heat passes through structural linkages and mechanical joints where
    interfacial parameters such as the roughness and form of the contacting surfaces affect the
    thermal resistance and thus the heat transfer coefficients. This paper presents a novel offline
    technique using finite element analysis (FEA) to simulate the effects of the major internal heat
    sources such as bearings, motors and belt drives of a small vertical milling machine (VMC)
    and the effects of ambient temperature pockets that build up during the machine operation.
    Simplified models of the machine have been created offline using FEA software and evaluated
    experimental results applied for offline thermal behaviour simulation of the full machine
    structure. The FEA simulated results are in close agreement with the experimental results
    ranging from 65% to 90% for a variety of testing regimes and revealed a maximum error range
    of 70 μm reduced to less than 10 μm.

    Item Type: Article
    Subjects: T Technology > TJ Mechanical engineering and machinery
    T Technology > TS Manufactures
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Centre for Precision Technologies > Engineering Control and Machine Performance Research Group
    Related URLs:
    Depositing User: Naeem Mian
    Date Deposited: 21 Jul 2011 10:39
    Last Modified: 21 Aug 2012 13:38


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