Skip to main content
SpringerLink
Log in

Bionic optimization design for a CNC turntable based on thermal–mechanical coupling effect

  • Technical Paper
  • Published:
Journal of the Brazilian Society of Mechanical Sciences and Engineering Aims and scope Submit manuscript

Abstract

During the machining process, the thermal–mechanical coupling effect of CNC turntable is produced by the action of variable loads and various heat sources. In order to improve the static and dynamic characteristics under thermal–mechanical coupling effect, a novel bionic optimization design method for CNC turntable was proposed. The finite element modal analysis on a CNC turntable was carried out to obtain the weak link of its dynamic characteristics, and the thermal–mechanical coupling analysis on the CNC turntable was conduct to reveal the influence of the thermal–mechanical coupling effect on the dynamic characteristics of the CNC turntable. In view of the good mechanical properties of Victoria amazonica, bionic design for the CNC turntable was carried out based on the strong similarity of structure and function. The optimization objectives and design variables of bionic CNC turntable were selected according to the thermal–mechanical coupling and modal analysis results, and the influence law of the design variables on the optimization objectives was studied by sensitivity analysis method. The optimal solution to bionic CNC turntable was obtained through response surface optimization, which made the maximum deformation was reduced by 2.37%, the mass was reduced by 15.60%, and the first six order natural frequencies were increased. The feasibility of the proposed bionic optimization design method for CNC turntable was verified through comparing the first six order natural frequencies of modal experimental results with optimization results. Therefore, the bionic optimization method provides a new idea for structural design of CNC machine tools’ parts to improve the static and dynamic characteristics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27

Similar content being viewed by others

References

  1. Pedrammehr S, Mahboubkhah M, Khani N (2013) A study on vibration of stewart platform-based machine tool table. Int J Adv Manuf Technol 65(5–8):991–1007. https://doi.org/10.1007/s00170-012-4234-9

    Article  Google Scholar 

  2. Liu Z, Zhan C, Zhao Y, Li X, Xia L, Cai L (2015) Modeling and analysis of the dynamic behaviors of a quantitative type hydrostatic rotary table. J Mech Eng 51(19):75–83. https://doi.org/10.3901/JME.2015.19.075

    Article  Google Scholar 

  3. Li T, Wu C, Shen L, Kong X, Ding X (2019) Improving machine tool dynamic performance using modal prediction and sensitivity analysis method. J Mech Eng 55(7):178–186. https://doi.org/10.3901/JME.2019.07.178

    Article  Google Scholar 

  4. Chen J, Lin S, He B (2014) Geometric error measurement and identification for rotary table of multi-axis machine tool using double ballbar. Int J Mach Tools Manuf 77:47–55. https://doi.org/10.1016/j.ijmachtools.2013.10.004

    Article  Google Scholar 

  5. Ding W, Zhu X, Huang X (2016) Effect of servo and geometric errors of tilting-rotary tables on volumetric errors in five-axis machine tools. Int J Mach Tools Manuf 104:37–44. https://doi.org/10.1016/j.ijmachtools.2016.02.002

    Article  Google Scholar 

  6. Alessandro V, Gianni C, Antonio S (2015) Axis geometrical errors analysis through a performance test to evaluate kinematic error in a five axis tilting-rotary table machine tool. Precis Eng 39:224–233. https://doi.org/10.1016/j.precisioneng.2014.09.007

    Article  Google Scholar 

  7. Zhao H, Ran Zhang R, Dong J, Fu C (2011) The application research of direct drive rotary table in vertical turning-milling compound machining center. Manuf Technol Mach Tool 4:37–39. https://doi.org/10.3969/j.issn.1005-2402.2011.04.014

    Article  Google Scholar 

  8. Mayr J, Jedrzejewski J, Uhlmann E, Alkan DM, Knapp W, Härtig F, Wendt K, Moriwaki T, Shore P, Schmitt R, Brecher C, Würz T, Wegener K (2012) Thermal issues in machine tools. CIRP Ann Manuf Technol 61(2):771–791. https://doi.org/10.1016/j.cirp.2012.05.008

    Article  Google Scholar 

  9. Li Q, Li H (2019) A general method for thermal error measurement and modeling in CNC machine tools’ spindle. Int J Adv Manuf Technol 103(5–8):2739–2749. https://doi.org/10.1007/s00170-019-03665-7

    Article  Google Scholar 

  10. Zhang C, Gao F, Li Y, Zhao B, Meng Z (2015) Model of thermal error compensation of large size worktable for machine tools based on piecewise fitting. J Mech Eng 51(3):146–152. https://doi.org/10.3901/JME.2015.03.146

    Article  Google Scholar 

  11. Chen L, Huang Z, Heng F, Xu K (2016) Thermal characteristics analysis and optimization study of hydrostatic rotary table oil film for large lathe milling and grinder compound machine tool. Mach Tool Hydraul 44(19):109–114. https://doi.org/10.3969/j.issn.1001-3881.2016.19.025

    Article  Google Scholar 

  12. Yang X, Shao J, Mu X, Zhu J (2014) Numerical and experimental studies on fluid-solid interaction heat transfer of heavy vertical lathe rotary-table. Trans Chin Soc Agric Mach 45(7):292–299. https://doi.org/10.6041/j.issn.1000-1298.2014.07.045

    Article  Google Scholar 

  13. Lei S (2013) Dynamic Modeling of Hydrostatic Guideway and the Usage on Machine Tool. Dissertation, Huazhong University of Science and Technology, Hubei, China

  14. Zhao J, Ma Q, Wang Z, Yu T (2016) Simulation study on thermal characteristic of direct drive rotary table in 5-axis machining tools. Manuf Technol Mach Tool. https://doi.org/10.19287/j.cnki.1005-2402.2016.11.026

    Article  Google Scholar 

  15. Heng F, Huang Z, Xu K, Wang Z, Wang L (2016) Simulating thermal characteristics and experimental studies of hydrostatic rotary table for heavy vertical lathe. Manuf Technol Mach Tool 1:29–34. https://doi.org/10.3969/j.issn.1005-2402.2016.01.009

    Article  Google Scholar 

  16. Song T, Yin M, Wang L, Yin G (2019) Simulation on three-dimensional thermal-mechanical coupling model of milling GCr15 steel. Tool Eng 53(11):37–41. https://doi.org/10.3969/j.issn.1000-7008.2019.11.009

    Article  Google Scholar 

  17. Zuo J, Lin Y, Zheng J, Zhong P, He M (2019) An investigation of thermal-mechanical interaction effect on PVD coated tool wear for milling Be/Cu alloy. Vacuum 167:271–279. https://doi.org/10.1016/j.vacuum.2019.06.017

    Article  Google Scholar 

  18. Niu Z, Cheng K (2019) Investigation on the material removal and surface roughness in ultraprecision machining of Al/B4C/50p metal matrix composites. Int J Adv Manuf Technol 105(7–8):2815–2831. https://doi.org/10.1007/s00170-019-04553-w

    Article  Google Scholar 

  19. Wang F, Wang Y, Liu H (2018) Tool wear behavior of thermal-mechanical effect for milling Ti–6Al–4V alloy in cryogenic. Int J Adv Manuf Technol 94(5–8):2077–2088. https://doi.org/10.1007/s00170-017-1012-8

    Article  Google Scholar 

  20. Ren X, Liu Z (2019) A simulation model for predicting surface integrity coupled thermal-mechanical effect in turning of Inconel 718 super alloy. Int J Adv Manuf Technol 100(5–8):1825–1837. https://doi.org/10.1007/s00170-018-2704-4

    Article  Google Scholar 

  21. Cheng Q, Zhan C, Liu Z, Zhao Y, Gu P (2015) Sensitivity-based multidisciplinary optimal design of a hydrostatic rotary table with particle swarm optimization. Stroj Vestn/J Mech Eng 61(7–8):432–447. https://doi.org/10.5545/sv-jme.2015.2478

    Article  Google Scholar 

  22. Feng H, Jiang S (2013) Multicriteria design of a rotary table with a hybrid constant flow and constant pressure supply system. Proc Inst Mech Eng Part J J Eng Tribol 227(10):1165–1176. https://doi.org/10.1177/1350650113483053

    Article  Google Scholar 

  23. Yu C, Huang X, Fang C (2013) Optimizing dynamic characteristics of NC rotary table based on electromechanical-hydraulic coupling. J Mech Sci Technol 27(4):1081–1088. https://doi.org/10.1007/s12206-013-0108-9

    Article  Google Scholar 

  24. Li T, Ding X, Cheng K, Wu T (2018) Dynamic optimization method with applications for machine tools based on approximation model. Proc Inst Mech Eng Part C J Mech Eng Sci 232(11):2009–2022. https://doi.org/10.1177/0954406217711728

    Article  Google Scholar 

  25. Sun Y, Liu H, Lu Z (2011) Finite element simulation and experimental research of residual stresses in the cutting based on the coupled thermo-mechanical model. J Mech Eng 47(1): 187–193. http://www.cjmenet.com.cn/CN/Y2011/V47/I1/187

  26. Xing D, Chen W, Zhao L, Ma J (2012) Structural bionic design for high-speed machine tool working table based on distribution rules of leaf veins. Sci China (Technol Sci) 55(8):2091–2098. https://doi.org/10.1007/s11431-012-4805-x

    Article  Google Scholar 

  27. Zhang H, Ding X, Dong X, Xiong M (2018) Optimal topology design of internal stiffeners for machine pedestal structures using biological branching phenomena. Struct Multidiscip Optim 57(6):2323–2338. https://doi.org/10.1007/s00158-017-1862-6

    Article  Google Scholar 

  28. Gao H, Sun J, Chen W, Zhang Y, Wu Q (2018) Structural bionic design for a machine tool column based on leaf veins. Proc Inst Mech Eng Part C J Mech Eng Sci 232(16):2764–2773. https://doi.org/10.1177/0954406217726565

    Article  Google Scholar 

  29. Liu S, Ye W, Lou P, Chen W, Huang J, Xiao L (2012) Bionic design for column of gantry machining center to improve the static and dynamic performance. Shock Vib 19(4):493–504. https://doi.org/10.3233/SAV-2010-0645

    Article  Google Scholar 

  30. Zhao L, Ma J, Chen W, Guo H (2011) Lightweight design and verification of gantry machining center crossbeam based on structural bionics. J Bionic Eng 8(2):201–206. https://doi.org/10.1016/s1672-6529(11)60021-8

    Article  Google Scholar 

  31. Tao Y, Wang Z, Wang K, Feng Q (2017) Structural bionic design for tower cranes boom based on king lotus leaf vein branched structure. Mach Des Manuf. https://doi.org/10.19356/j.cnki.1001-3997.2017.03.010

    Article  Google Scholar 

  32. Liu L, Chen W(2013) Structural bionic design for aircraft cover plate based on leaf vein branched structure. J Beijing Univ Aeronaut Astronaut 39(12): 1596–1600. http://www.cnki.com.cn/Article/CJFDTOTAL-BJHK201312007.htm

  33. Singh SD, Mathur R, Srivastava RK (2019) Optimization of dynamically sensitive parameters of Linke Hofmann Busch coach considering suspended equipment using design of experiment. J Vib Control 25(12):1793–1811. https://doi.org/10.1177/1077546319832720

    Article  MathSciNet  Google Scholar 

  34. Eshghi AT, Lee S (2019) Adaptive improved response surface method for reliability-based design optimization. Eng Optim 51(12):2011–2029. https://doi.org/10.1080/0305215X.2018.1561885

    Article  MathSciNet  Google Scholar 

  35. Liu S, Li Y, Liao Y, Guo Z (2014) Structural optimization of the cross-beam of a gantry machine tool based on grey relational analysis. Struct Multidiscip Optim 50:297–311. https://doi.org/10.1007/s00158-013-1041-3

    Article  Google Scholar 

  36. Liu S, Lin M (2019) Thermal-mechanical coupling analysis and experimental study on CNC machine tool feed mechanism. Int J Precis Eng Manuf 20:993–1006. https://doi.org/10.1007/s12541-019-00069-1

    Article  Google Scholar 

  37. Ji Q, Li C, Zhu D, Jin Y, Lv Y, He J (2020) Structural design optimization of moving component in CNC machine tool for energy saving. J Clean Prod 246:118976. https://doi.org/10.1016/j.jclepro.2019.118976

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the financial supports from the National Natural Science Foundation of China (Grant No. 51865008), Open Fund Project of Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology and China Scholarship Council (Grant No. 201907565009).

Author information

Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Hainan University, Haikou, 570228, China

    Shihao Liu & Mao Lin

  2. Department of Mechanical Engineering, National University of Singapore, Singapore, 117575, Singapore

    Shihao Liu

Authors
  1. Shihao Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mao Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shihao Liu.

Additional information

Technical Editor: Zilda de Castro Silveira, Ph.D.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, S., Lin, M. Bionic optimization design for a CNC turntable based on thermal–mechanical coupling effect. J Braz. Soc. Mech. Sci. Eng. 42, 253 (2020). https://doi.org/10.1007/s40430-020-02348-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40430-020-02348-9

Keywords

Search

Navigation