Thermal Structure Design and Analysis of a Machine Tool Headstock

Zhang, Chenglong; Feng, Pingfa; Wu, Zhijun; Yu, Dingwen; Chen, C.

doi:10.5755/j01.mech.19.4.5044

Cited by 15 publications

(5 citation statements)

References 11 publications

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“…This section discusses the research investigation on thermal analysis of different machine tool structures and it is presented in Table 4. [ 20,29,98,164–186 ]…”

Section: Thermal Analysis Of Machine Tool Structuresmentioning

confidence: 99%

A review on epoxy granite reinforced polymer composites in machine tool structures – Static, dynamic and thermal characteristics

2023

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Machine tool structures produced with Epoxy Granite reinforced polymer composites (EGPCs) have gained prominence in recent years and have replaced conventional cast iron materials and other metals due to its remarkable damping characteristics. However, machine tool structures manufactured with EGPCs tends to exhibit limited strength, stiffness and stability. Such challenges in EGPCs are resolved by incorporation of steel as additional reinforcement and enhanced mechanical properties are observed in these hybrid machine‐tool structures. Hybrid epoxy granite machine tool structures with enhanced mechanical performance are prone to thermal errors resulting in machining inaccuracies and limited performance. Thermal errors induced in machine tool structures could be attributed due to effect of temperature distribution and displacements at the Tool Center Point (TCP). This review work carried out focuses predominantly on design methods adopted in resolving the challenges identified in development of machine tool structures and further analyses results of several polymer concrete‐based machine tool structures with regard to static, dynamic and thermal characteristics. Several review works conducted earlier have discussed the results of static and dynamic characteristics, whereas this review work provides additional information on thermal based errors induced and discusses the methods adopted in compensation of thermal errors. In this review paper, research studies pertaining to static and dynamic characteristics of different machine tool structures performed in last three decades have been discussed and a wholistic information is provided in relation with static, dynamic and thermal characteristics and properties toward developing a machine tool structure with a novel, newer class or alternative materials.

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“…This section discusses the research investigation on thermal analysis of different machine tool structures and it is presented in Table 4. [ 20,29,98,164–186 ]…”

Section: Thermal Analysis Of Machine Tool Structuresmentioning

confidence: 99%

A review on epoxy granite reinforced polymer composites in machine tool structures – Static, dynamic and thermal characteristics

2023

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“…Zhang et al [8] performed a weakness analysis on FEM thermal behavior results of the spindle head of a vertical machine tool, leading to structural redesign and optimization of design parameters during the prototype phase. Uhlmann et al [9] employed FEM to establish a thermal model for vertical machine tools to predict thermal deformation, refining accuracy through comparison with experimental values.…”

Section: Introductionmentioning

confidence: 99%

Study on the Thermal Characteristics of a Turning and Milling Machine Using Taguchi-FEM with ANOVA-Driven Search

Wu,

Hsieh,

Kuo

et al. 2024

Preprint

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Turning and milling machines (TMMs) have diverse and complex heat sources, which pose challenges to understanding and accurately predicting their thermal behavior. This study established a transient 3D thermal model of the TMM using the Finite Element Method (FEM) to predict the temporal evolution of temperature and deformation fields. The FEM predictions were then compared with the experimental results from five machining scenarios for model validation, demonstrating accurate prediction of temperature and deformation with average errors of 0.9% and 5.59 μm, respectively. A comprehensive procedure was proposed to explore the thermal characteristics of TMMs and identify thermally critical components. This study employed a Taguchi-FEM approach along with sensitivity analysis to evaluate the significant contributing boundary conditions of TMMs to tool center point (TCP) deformation in the X, Y, and Z directions. An ANOVA-driven search was further proposed to identify thermal key points significantly impacting TCP deformation across directions and time intervals. Integrating both methods facilitated the identification of the TMM thermal critical regions. The spindle TCP’s thermal critical regions were most significantly influenced by the spindle component, followed by the milling cutter shaft component and then the right side of the base bed. Similarly, for the sub-spindle TCP, the highest impact came from the sub-spindle components, followed by the right side of the base bed and the milling cutter shaft components. The proposed procedure identified the significant regions for assisting evaluation in TMMs and reduced the number of required temperature monitoring points while optimizing their placements to minimize measurement costs.

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“…Most of the research on error avoidance is to reduce the thermal error by optimization design, strengthening the manufacturing process and improving machine tool structure. The main method is to eliminate the potential thermal error of the system in the design stage by means of structural symmetrical design, active cooling system and the application of low temperature expansion materials [6][7][8][9][10]. Although this kind of method is reliable, it has great limitations.…”

Section: Introductionmentioning

confidence: 99%

Thermal error prediction of ball screw feed system based on inverse heat transfer analysis

Tao

Chen

et al. 2022

Int J Adv Manuf Technol

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The thermal error of the ball screw feed system will reduce the positioning accuracy of the machine tool, and the main reason for the thermal error is the friction heat generated by bearings and screw nut in the feed system. Therefore, a time-varying thermal error prediction method of the ball screw feed system based on the inverse method is proposed in this paper. Based on data-driven and dynamic thermal network model, the heat source estimation method of ball screw feed system under unsteady thermal effect is established, and the thermodynamic equilibrium equation is deduced into explicit form for heat source load identification. Aiming at the common matrix ill-conditioned problem of load identification, the regularization algorithm is used to identify the heat source load, and the optimal selection method of regularization parameters is proposed based on Monte Carlo algorithm. Using the collected temperature experiment data and the position data of the moving nut, the dynamic heat source load, temperature field and thermal error of the feed system under the actual working condition are predicted and analyzed by using the inverse method. Finally, the accuracy and effectiveness of the prediction method are verified by experiment. The inverse method proposed in this paper has great application potential for the prediction and estimation of heat source and temperature field of machine tools and various mechanical structures.

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Thermal Structure Design and Analysis of a Machine Tool Headstock

Cited by 15 publications

References 11 publications

A review on epoxy granite reinforced polymer composites in machine tool structures – Static, dynamic and thermal characteristics

A review on epoxy granite reinforced polymer composites in machine tool structures – Static, dynamic and thermal characteristics

Study on the Thermal Characteristics of a Turning and Milling Machine Using Taguchi-FEM with ANOVA-Driven Search

Thermal error prediction of ball screw feed system based on inverse heat transfer analysis

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