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Experimental study on thermal deformation suppression and cooling structure optimization of double pendulum angle milling head

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Abstract

In order to solve the problem that thermal deformation of CNC machine tools affects machining accuracy, a simulated internal cooling structure based on external copper tube is studied. Method of reducing thermal error of machine tool by cooling temperature sensitive position. Taking 5AS01 double swing angle milling head as the research object, the finite element simulation of temperature field and deformation field is carried out through three-dimensional modeling. It is analyzed that the thermal deformation of the swing head shell in X- and Z-directions has great influence on the thermal error of the motorized spindle, so the cooling of its temperature-sensitive position is studied. The thermal distribution of the shell under normal working conditions was simulated statically, and four temperature-sensitive positions were selected from 10 temperature measuring points by grey relational analysis. The straight capillary copper tube combined with thermal conductive silica gel was used for liquid cooling. Experiments show that the thermal deformation of the shell can be effectively reduced by about 50% by cooling the temperature sensitive points, which provides a reference for the optimization of the structure of the pendulum, and indirectly improves the machining accuracy of the motorized spindle, thus improving the machining accuracy of the machine tool.

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Abbreviations

P loss :

Power loss of motorized spindle (W)

η :

Efficiency of motor

P 0 :

Rated power of motor (W)

q :

Heat generation rate (W/m3)

Q :

Heat generating power (W)

V :

Volume of heat source (m3)

M 1 :

Friction torque caused by viscous friction (N∙m)

v :

Kinematic viscosity of lubricant (mm2/s)

f 0 :

Coefficient related to bearing type and lubrication mode

D m :

Pitch diameter of bearing (mm)

M 2 :

Friction torque caused by bearing load (N∙m)

M :

Bearing friction torque (N∙m)

n :

Bearing speed (r/min)

y 1 (n):

Normalized comparison data

\(\overline{{y_{i} }}\) :

Average value of data in column \(i\)

minmin :

Second stage minimum difference

r i :

Degree of association

Q 1 :

Friction calorific value of bearing (W)

Re :

Reynolds number

\(\mathop u\limits^{ - }\) :

Average velocity of fluid (m/s)

v :

Kinematic viscosity (m2/s)

h gap :

Characteristic size (m)

Pr :

Prandtl number

c :

Specific heat capacity (J/(kg∙K))

μ :

Dynamic viscosity (P as)

Nu :

Nusselt number

N :

0.4 For heating fluid and 0.3 for cooling fluid

l :

Pipeline length (m)

α :

Convective heat transfer coefficient (W/(m2·k))

\(y_{i}^{(0)} (n)\) :

Unprocessed comparative data

ρ:

Resolution coefficient ρ ϵ (0,1), generally ρ = 0.5

maxmax :

Two-stage maximum difference

ξi (k):

Grey correlation coefficient

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Funding

This work was supported by the Opening Project of the Key Laboratory of Advanced Manufacturing and Intelligent Technology (Ministry of Education), Harbin University of Science and Technology, grant number: KFKT202204.

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Authors and Affiliations

  1. Key Laboratory of Advanced Manufacturing Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, 150080, Harbin, Heilongjiang Province, China

    Zhaolong Li

  2. School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, China

    Zhaolong Li, Qinghai Wang, Bo Zhu, Baodong Wang, Wenming Zhu, Junming Du & Benchao Sun

Authors
  1. Zhaolong Li
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  2. Qinghai Wang
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  3. Bo Zhu
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  5. Wenming Zhu
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  6. Junming Du
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  7. Benchao Sun
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Zhaolong Li, Qinghai Wang, Bo Zhu, Baodong Wang, Wenming Zhu, Junming Du, and Benchao Sun. The first draft of the manuscript was written by Zhaolong Li, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Zhaolong Li.

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Li, Z., Wang, Q., Zhu, B. et al. Experimental study on thermal deformation suppression and cooling structure optimization of double pendulum angle milling head. Int J Adv Manuf Technol 127, 279–293 (2023). https://doi.org/10.1007/s00170-023-11549-0

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  • DOI: https://doi.org/10.1007/s00170-023-11549-0

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