Thermal analysis for the feed drive system of a CNC machine center

Wu, Cheng‐Hsien; Kung, Yu-Tai

doi:10.1016/j.ijmachtools.2003.08.008

Cited by 81 publications

(33 citation statements)

References 8 publications

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“…Figure 26. Impact of bearings configuration on positioning errors [77] In [205] thermal error modelling by FEM is limited to the heating and thermal elongation of the ball screw alone, neglecting the effects originating from the machine tool structural bodies. Only the influence of the bearings and the trapezoidal distribution of thermal load in the screw-nut joint were taken into account.…”

Section: Modelling and Computing Thermal Errors Generated In Linear Axesmentioning

confidence: 99%

Thermal issues in machine tools

et al. 2012

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Section: Modelling and Computing Thermal Errors Generated In Linear Axesmentioning

confidence: 99%

Thermal issues in machine tools

et al. 2012

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“…가공 공작기계에 대한 열변형 연구가 많이 수행되어 왔으며 [1][2][3] , 또한 이송축 열변형이 중요함에 따라서, 그와 관련된 연구도 수행되어져 왔다. 유한 차분법 또는 유한 요소법을 활용하여 열전달 및 열변형 해석을 수행하였다 [4][5][6][7] . 볼 스크루의 각 위치에 일정 시간 동안 균 일한 열유속을 적용하고, 다시 일정 시간 동안 냉각하였다.…”

Section: 서 론 열 진동 절삭 하중 및 제어 등은 공작기계의 가공 정밀도에 많 은 영향을 미치고 있으며 그 중에unclassified

Evaluation of Thermal Characteristics for a Feeding Axis of Machine Tools Using Finite Element Analysis

Lee¹,

Choi²

2013

Journal of manufacturing engineering & technology

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Article history:In this study, two finite element (FE) models were developed to evaluate the thermal characteristics of a feeding axis of a CNC lathe. One was used for analysis of heat transfer to identify the temperature distribution of the feeding axis and then, the other was used for analysis of thermal deformation to evaluate its structural behavior based on the temperature distribution. The FE models were based on the test standard for the axial thermal displacement. The feeding velocity was composed of three steps: the ascending, constant, and descending velocities. Therefore, the heat generation and convection coefficient were calculated for each velocity and applied to the thermal FE model. The convection coefficient for the ball screw rotation was based on an experimental equation. The result of the analytical thermal displacement was compared with that of the experimental displacement to verify the finite element models.

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“…Temperature rise of the ball screw system directly leads to deformation of the metallic components, and thermal expansion caused by heat generation adversely reduces the machining accuracy. Wu et al analyzed the relationship between temperature increase and thermal deformation of a ball screw feed drive system and estimated the strength of the heat source with the measured temperature profile by inverse analysis [12]. Huang selected front bearing and nut and back bearing as independent variables and used multiple regression method to analyze the thermal deformation of a ball screw feed drive system [13] and failed to consider the ambient temperature.…”

Section: Introductionmentioning

confidence: 99%

Experiment-based thermal error modeling method for dual ball screw feed system of precision machine tool

Shi

Zhang

Yang

et al. 2015

Int J Adv Manuf Technol

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In order to investigate the thermal behavior of a dual ball screw feed drive system of a precision boring machine tool, experimental study on and theoretical modeling of thermally induced error along with heat generation characteristics are conducted in this paper. Experiments are carried out on the machine tool to measure and collect the thermodynamic information with its feed drive system operating under different working conditions. Based on the real-time data of the thermal expansion of ball screw in the axial direction, relationships between the thermal error and axial elongation are established to predict the thermal error distribution. The results show that the thermal error varies with different working position through the ball screw length linearly and with working time nonlinearly. In addition, another simplified way to model thermal error is presented to overcome the difficulties existing in the ball screw feed drive system of which the axial elongation is hard to collect. Fuzzy clustering and linear regression methods are employed to carry out the theoretical modeling of thermal error and optimization to sift out the critical heat sources. With the temperature data of these critical heat generation points, the thermally induced error of the ball screw feed drive system can be predicted easily alternatively. Experiments under a different condition are preformed to verify both prediction and modeling methods. It turns out that the proposed prediction methods are effective and practical to be used in the machining process as well.

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Thermal analysis for the feed drive system of a CNC machine center

Cited by 81 publications

References 8 publications

Thermal issues in machine tools

Thermal issues in machine tools

Evaluation of Thermal Characteristics for a Feeding Axis of Machine Tools Using Finite Element Analysis

Experiment-based thermal error modeling method for dual ball screw feed system of precision machine tool

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