Thermal error prediction and reliability sensitivity analysis of motorized spindle based on Kriging model
Source abstract
Abstract
Abstract A large amount of heat is generated by motorized spindles during the machining process of CNC machine tools, and it is the main factor restricting the further improvement of machining accuracy. Furthermore, physical properties and material parameters of the motorized spindle are uncertain in practical engineering. Therefore, it is necessary to evaluate the reliability and reliability sensitivity of the motorized spindle system. In this paper, a new thermal error estimation model of motorized spindle is established based on multi-physical field coupling theory. The Quasi-Monte Carlo (QMC) method is introduced to calculate the reliability of the motorized spindle system. An accurate and efficient surrogate model, called Kriging, is used to calculate the reliability and reliability sensitivity of the motorized spindle system to further improve computational efficiency. Moreover, the experimental platform for measuring the temperature and thermal error of the motorized spindle is built to verify the applicability of the proposed model. The analytical framework proposed in this paper provide a guidance for the reliability design and robustness evaluation of motorized spindle.
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Research context
OpenAlex topics: Advanced Measurement and Metrology Techniques · Probabilistic and Robust Engineering Design · Advanced Multi-Objective Optimization Algorithms
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (31)
Show source-provided references
1. A thermal model for high speed motorized spindles10.1016/S0890-6955(99)00005-X ↗
2. A three-dimensional inverse problem in estimating the internal heat flux of housing for high speed motors10.1016/j.applthermaleng.2005.12.009 ↗
3. A Study on the Thermal Characteristics and Experiments of High-Speed Spindle for Machine Tools10.1007/s12541-015-0039-8 ↗
4. Heat transfer characteristics between inner and outer rings of an angular ball bearing10.1002/htj.10070 ↗
5. 3-D numerical and experimental analysis of a built-in motorized high-speed spindle with helical water cooling channel10.1016/j.applthermaleng.2008.01.015 ↗
6. Jet cooling for rolling bearings: Flow visualization and temperature distribution10.1016/j.applthermaleng.2016.05.147 ↗
7. Investigation on a grinding motorized spindle with miniature-revolving heat-pipes central cooling structure10.1016/j.icheatmasstransfer.2020.104502 ↗
8. Improved Kriging with extremum response surface method for structural dynamic reliability and sensitivity analyses10.1016/j.ast.2018.02.012 ↗
9. Global optimization of reliability design for large ball mill gear transmission based on the Kriging model and genetic algorithm10.1016/j.mechmachtheory.2013.06.003 ↗
10. Optimization of the loaded contact pattern of spiral bevel and hypoid gears based on a kriging model10.1016/j.mechmachtheory.2018.01.008 ↗
11. Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data10.1016/j.csda.2020.107010 ↗
12. Harris · 2007 · 119
13. Thermal characteristics analysis and experimental study on the high-speed spindle system10.1007/s00170-015-6821-z ↗
14. Determination of Optimum Preload Considering the Skidding and Thermal Characteristic of High-speed Angular Contact Ball Bearing10.1115/1.4039386 ↗
15. Thermal-structure interaction characteristics of a high-speed spindle-bearing system10.1016/j.ijmachtools.2018.10.004 ↗
16. Integrated Dynamic Thermo-Mechanical Modeling of High Speed Spindles, Part 1: Model Development10.1115/1.1644545 ↗
17. Adaptive virtual support vector machine for reliability analysis of high-dimensional problems10.1007/s00158-012-0857-6 ↗
18. Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems10.1007/s00158-010-0568-9 ↗
19. Application of kriging method to structural reliability problems10.1016/j.strusafe.2004.09.001 ↗
20. Halwka. Funktionen von beschränkter variatiou in der theorie der gleichverteilung. Annali Di Matematica Pura Ed Applicata, 54 (1961) 325–333.10.1007/BF02415361 ↗
21. Output feedback control of a quadrotor UAV using neural networks10.1109/TNN.2009.2034145 ↗
22. A response surface method based on weighted regression for structural reliability analysis10.1016/j.probengmech.2004.05.005 ↗
23. Design for computer experiment10.1080/00401706.1989.10488474 ↗
24. A new learning function for Kriging and its applications to solve reliability problems in engineering10.1016/j.camwa.2015.07.004 ↗
25. AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation10.1016/j.strusafe.2011.01.002 ↗
26. A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models10.1016/j.ress.2012.10.008 ↗
27. Experimental investigation of single loop thermosyphons utilized in motorized spindle shaft cooling10.1016/j.applthermaleng.2017.11.141 ↗
28. Heat (mass) transfer between an impinging jet and a rotating disk10.1007/s002310050249 ↗
29. Variable screening and ranking using sampling-based sensitivity measures10.1016/j.ress.2005.05.004 ↗
30. Sensitivity Factors and Their Application to Marine Structures10.1016/0951-8339(94)00001-9 ↗
31. Explicit representation of the complete velocity profile in a turbulent boundary layer10.2514/3.8696 ↗