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Abuaniza, Ayman; Fletcher, Simon; Mian, Naeem S.; Longstaff, Andrew P. (2016)
Publisher: ESRSA Publication
Languages: English
Types: Article
Subjects: TJ, TS
Recirculating ball screw systems are commonly\ud used in machine tools and are one of the major heat sources which cause considerable thermal drift in CNC machine tools. Finite Element Analysis (FEA) method has been used successfully in the past to model the thermal characteristics of machine tools with promising results. Since FEA predictions are highly dependent on the efficacy of numerical parameters including the surrounding Boundary Conditions (BC), this study\ud emphasises on an efficient modelling method to obtain optimised numerical parameters for acquiring a qualitative response from the feed drive system model. This study was performed on a\ud medium size Vertical Machining Centre (VMC) feed drive system in which two parameter dentification methods have been employed; the general prediction method based on formulae provided by OEMs, and the energy balance method. The parameters obtained from both methods were applied to the FEA model of the machine feed drive system and validated against experimental results. Correlation with which was increased from 70 % to 80 % using the energy balance method.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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