2018
DOI: 10.1007/s00170-018-2605-6
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A convective heat transfer coefficient algorithm for thermal analysis of machine tools considering a temperature change

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Cited by 10 publications
(2 citation statements)
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“…Figure 4 depicts the experimental device. Concerning current studies, the temperature measurement locations that have a substantial impact on the total thermal field of the feed system were chosen [22][23][24]. The temperatures of the front bearing (T1), the rear bearing (T2), the nut flange (T3), the screw shaft (T4), the worktable (T5), the environment (T6), and the axial elongation of the screw shaft (D) were measured separately.…”
Section: Experimental Verification Device and Schemementioning
confidence: 99%
“…Figure 4 depicts the experimental device. Concerning current studies, the temperature measurement locations that have a substantial impact on the total thermal field of the feed system were chosen [22][23][24]. The temperatures of the front bearing (T1), the rear bearing (T2), the nut flange (T3), the screw shaft (T4), the worktable (T5), the environment (T6), and the axial elongation of the screw shaft (D) were measured separately.…”
Section: Experimental Verification Device and Schemementioning
confidence: 99%
“…On one hand, some scholars investigated the modeling method based on simulation technology. On the basis of finite element thermal analysis, Mao et al [3] proposed an iterative finite element thermal analysis algorithm combining experimental data to calculate the convective heat transfer coefficient (CHTC) of precision ball screw system. Oyanguren et al [4] presented a numerical modelling strategy to predict the preload variation due to temperature increase using a thermo-mechanical 3D finite element method (FEM)-based model for double nut-ball screw drives.…”
Section: Introductionmentioning
confidence: 99%