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The bolted joint is widely used in heavy-duty CNC machine tools, which has huge influence on working precision and overall stiffness of CNC machine. The process parameters of group bolt assembly directly affect the stiffness of the connected parts. The dynamic model of bolted joints is established based on the fractal theory, and the overall stiffness of joint surface is calculated. In order to improve the total stiffness of bolted assembly, an improved particle swarm optimization algorithm with combination of time-varying weights and contraction factor is proposed. The input parameters are preloading of bolts, fractal dimension, roughness, and object thickness. The main goal is to maximize the global rigidity. The optimization results show that improved algorithm has better convergence, faster calculation speed, preferable results, and higher optimization performance than standard particle swarm optimization algorithm. Moreover, the global rigidity optimization is achieved.
Czasopismo
Rocznik
Tom
Strony
art. no. 168487
Opis fizyczny
Bibliogr. 28 poz., rys., tab., wykr.
Twórcy
autor
- Faculty of Materials and Manufacturing, Beijing University of Technology, China
autor
- Beijing Institute of Aerospace Control Devices, China
autor
- Faculty of Materials and Manufacturing, Beijing University of Technology, China
autor
- Faculty of Materials and Manufacturing, Beijing University of Technology, China
autor
- Faculty of Materials and Manufacturing, Beijing University of Technology, China
autor
- XCMG Construction Machinery, China
Bibliografia
- 1. Abid M, Khan A, Nash DH, Wajid HA. Simulation of Optimized Bolt Tightening Strategies for Gasketed Flanged Pipe Joints. Pressure Vessel Technology: Preparing For The Future. Vol. 130. 2015; 204-213, https://doi.org/10.1016/j.proeng.2015.12.210 .
- 2. Arumugam MS, Rao MVC and Chandramohan A. A new and improved version of particle swarm optimization algorithm with global-local best parameters. Knowledge And Information Systems, 2008;16(3): 331-357, https://doi.org/10.1007/s10115-007-0109-z.
- 3. Cheng Q, Xu WX, Liu ZF, Yang CB,Li Y. The Effects of Energy Dissipation of the Closure Bolted Joints Under Vibration Behavior. Journal of Pressure Vessel Technology-Transactions of The Asme, 2021; 143(2); https://doi.org/10.1115/1.4048072.
- 4. Epstein M and Adeeb SM. The stiffness of self-similar fractals. International Journal Of Solids And Structures, 2008;45(11-12):3238-3254,https://doi.org/10.1016/j.ijsolstr.2008.01.022 .
- 5. Garland PP and Rogers RJ. An Experimental Study of Contact Forces During Oblique Elastic Impact. Journal Of Applied Mechanics-Transactions Of The Asme, 2009; 76(3), https://doi.org/10.1115/1.3063634.
- 6. Goerke D and Willner K. Normal contact of fractal surfaces - Experimental and numerical investigations. WEAR, 2008;264(7-8): 589-598, https://doi.org/10.1016/j.wear.2007.05.004.
- 7. Grzejda R. Thermal strength analysis of a steel bolted connection under bolt loss conditions. Eksploatacja i niezawodnosc-maintenance and reliability, 2022; 24(2): 269-274, https://doi.org/10.17531/ein.2022.2.8.
- 8. Hu W, Westerlund P, Hilber P, Chen CH, Yang ZJ. A general model, estimation, and procedure for modeling recurrent failure process of high-voltage circuit breakers considering multivariate impacts. Reliability engineering & system safety, 2022;220, https://doi.org/10.1016/j.ress.2021.108276.
- 9. I Coria, Abasolo M, Olaskoaga I, Etxezarreta A, Aguirrebeitia J. A new methodology for the optimization of bolt tightening sequences for ring type joints. Ocean engineering, 2017;129: 441-450, https://doi.org/10.1016/j.oceaneng.2016.10.049.
- 10. Jiang SY, Zheng YJ and Zhu H. A Contact Stiffness Model of Machined Plane Joint Based on Fractal Theory. Journal Of Tribology-Transactions Of The Asme, 2010; 132(1): https://doi.org/10.1115/1.4000305.
- 11. Li DS, Zhang YD , and Wang P. Dynamic model of machine joints based on structural damping. Journal of Vibration and Shock ,2010; 29(8):204-208.
- 12. Liu HB, Wu JK, Liu K, Kang K, Luo Q,Liu ZS, Wang YQ. Pretightening sequence planning of anchor bolts based on structure uniform deformation for large CNC machine tools. International Journal of Machine Tools & Manufacture: Design, research and application, 2019;136:1-18, https://doi.org/10.1016/j.ijmachtools.2018.09.002.
- 13. Lu SK,Hua DX, Li Y, Cui FY, Li PY. Stiffness Calculation Method and Stiffness Characteristic Analysis of Bolted Connectors. Mathematical Problems in Engineering ,2019; https://doi.org/10.1155/2019/6206092.
- 14. Liu WX, Yan SH, Chen TL, Cheng JQ, Wang K, Song JT, Yang AM, Li J, Xing HW, Zhang YZ. Feature recognition of irregular pellet images by regularized Extreme Learning Machine in combination with fractal theory. Future Generation Computer Systems ,2022;127:92-108, https://doi.org/10.1016/j.future.2021.08.003.
- 15. Liu YL, Bo SG and Xu ZL. A friction contact stiffness model of fractal geometry in forced response analysis of a shrouded blade. Nonlinear Dynamics, 2012;70(3): 2247-2257, https://doi.org/10.1007/s11071-012-0615-8.
- 16. Liu ZF, Wang YZ, Dong XM, Zhang CX, Li Y. et al. A novel model for evaluating preload based on spectral problem in system with double-bolted connections. Applied Mathematical Modelling, 2022;102: 21-34, https://doi.org/10.1016/j.apm.2021.09.016.
- 17. Nan J. Modeling and correcting fem with contact element for the combined surfaces of grinder bolts. China Mechanical Engineering 2001.
- 18. Niu NN, Zhao YS, Li Y , Chen K, Li X. Contact modeling of heterogeneous materials of the machine tool bed-foundation interface based on the gradient of contact stress distribution. Journal of the Brazilian Society of Mechanical Sciences and Engineering,2022; 44(12), 1-16, https://doi.org/10.1007/s40430-022-03910-3.
- 19. Niu P, Cheng Q, Zhang T, Yang CB, Zhang ZL, Liu ZF. Hyperstatic mechanics analysis of guideway assembly and motion errors prediction method under thread friction coefficient uncertainties. Tribology International, 2023;180, https://doi.org/10.1016/j.triboint.2023.108275.
- 20. Ramirez IS, Mohammadi-Ivatloo B, and Marquez F.Alarms management by supervisory control and data acquisition system for wind turbines. Eksploatacja i niezawodnosc-maintenance and reliability, 2021; 23(1): 110-116, https://doi.org/10.17531/ein.2021.1.12.
- 21. Shi JP, Ma K and Liu ZQ. Normal Contact Stiffness on Unit Area of a Mechanical Joint Surface Considering Perfectly Elastic Elliptical Asperities. Journal Of Tribology-Transactions Of The Asme, 2012; 134(3), https://doi.org/10.1115/1.4006924.
- 22. Wang LH, Luo JP, Liu HB, Huang YY. Research on dynamic characteristics of key machine joint surfaces of the numerically controled milling machine. Journal of Vibration and Shock 2008.
- 23. Wang SX, He JL, Li GF,Hao QB, Huang H. Compilation method of CNC lathe cutting force spectrum based on kernel density estimation of G-SCE. International journal of advanced manufacturing technology, 2023;124(11-12): 3713-3724, https://doi.org/10.1007/s00170-021-07541-1.
- 24. Wang YL, Wu XF, Feng HT. Static and dynamic characteristics optimization for a whole large-sized thread grinder based on joint surface. Journal of Vibration and Shock 2012.
- 25. Wen DD, Shi CD, Liao KX, Liu JH,Zhang Y. Fast Backfire Double Annealing Particle Swarm Optimization Algorithm For Parameter Identification Of Permanent Magnet Synchronous Motor. Progress In Electromagnetics Research ,2021;104:23-38, https://doi.org/10.2528/PIERM21052802.
- 26. Xu WX, Cheng Q, Yang CB, Li Y. Dynamic analysis and looseness evaluation of bolted connection under vibration of machine tools. International Journal of Advanced Manufacturing Technology, 2023; 124(11-12): 3761-3770, https://doi.org/10.1007/s00170-021-07615-0.
- 27. Yu HB, Zheng ML, Zhang W, Nie WY, Bian TC. Optimal design of helical flute of irregular tooth end milling cutter based on particle swarm optimization algorithm. Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science, 2022;236(7),3323-3339, https://doi.org/10.1177/09544062211042052.
- 28. Zheng LJ, Zheng LL, Zuo YJ, Liu H, Chen B, Wu ZH, Sun WJB, Wang YL. Study on Mesoscale Damage Evolution Characteristics of Irregular Sandstone Particles Based on Digital Images and Fractal Theory. Hindawi Limited, 2021, https://doi.org/10.1155/2021/6552847 .
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-72d00a6f-da97-4d14-aef8-383877340a2e