Adjustment of Uncertain Parameters in Thermal Models of Machine Tools

Abstract

Thermal models of machine tools contain parameters that represent machine-specific and time-variable properties. In the design process, these parameters cannot be estimated with sufficient accuracy. Thus, they have to be adjusted by measurements. At present, substantial time, effort and expensive measurement equipment are required for adjustment, as well as in-depth expertise. Consequently, the goal is to develop cost efficient methods for rapid and comprehensive adjustment. This is to be achieved using a systematic strategy for the support and automation of adjustment processes. The strategy is demonstrated based on a thermal model of a bearing assembly. IntroductionIn the scope of the CRC/TR 96 measures for passive compensation and active correction of thermally induced deformations as well as for a thermo-energetic optimized design of machine tools are being developed. Basis of these measures are thermal behaviour models of the machine and its assemblies. They are used as a tool for evaluation and optimisation of relevant design features as well as for the generation of correction values for the feed axes. In the latter case there are particularly high demands on model accuracy.

A Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspects

“…Sensitivity analysis can allow us to determine which parameters are the most influential factor on the model output, and select the most relevant parameters to be adjusted in less computational time [102,103]. A common method to perform the sensitivity analysis is to vary each parameter while fixing the other parameters, one factor at a time, to check the impact of the parameter on output [83,104].…”