Reliability-based design optimization of the spiral water jacket for motorized spindle
Tài liệu tham khảo
Cao, 2017, The concept and progress of intelligent spindles: a review, Int. J. Mach. Tool Manufact., 112, 21, 10.1016/j.ijmachtools.2016.10.005
Li, 2023, Simulation analysis model of high-speed motorized spindle structure based on thermal load optimization, Case Stud. Therm. Eng., 44
Chen, 2022, Simulation on thermal characteristics of high-speed motorized spindle, Case Stud. Therm. Eng., 10.1016/j.csite.2022.102144
Grama, 2018, A model-based cooling strategy for motorized spindle to reduce thermal errors, Int. J. Mach. Tool Manufact., 132, 3, 10.1016/j.ijmachtools.2018.04.004
Ma, 2015, Simulation and experimental study on the thermally induced deformations of high-speed spindle system, Appl. Therm. Eng., 86, 251, 10.1016/j.applthermaleng.2015.04.064
Creighton, 2010, Analysis of thermal errors in a high-speed micro-milling spindle, Int. J. Mach. Tool Manufact., 50, 386, 10.1016/j.ijmachtools.2009.11.002
Li, 2021, Thermal-mechanical coupling calculation method for deformation error of motorized spindle of machine tool, Eng. Fail. Anal., 128, 10.1016/j.engfailanal.2021.105597
Li, 2018, Experimental investigation of an R600a two-phase loop thermosiphon to cool a motorized spindle shaft, Int. Commun. Heat Mass Tran., 97, 9, 10.1016/j.icheatmasstransfer.2018.06.005
Tian, 2018, A dynamic loading system for high-speed motorized spindle with magnetorheological fluid, J. Intell. Mater. Syst. Struct., 29, 2754, 10.1177/1045389X18778369
Denkena, 2020, Cooling of motor spindles—a review, Int. J. Adv. Des. Manuf. Technol., 110, 3273, 10.1007/s00170-020-06069-0
Liu, 2019, Thermal-structure interaction characteristics of a high-speed spindle-bearing system, Int. J. Mach. Tool Manufact., 137, 42, 10.1016/j.ijmachtools.2018.10.004
Su, 2014, Thermal analysis of the hydrostatic spindle system by the finite volume element method, Int. J. Adv. Des. Manuf. Technol., 71, 1949, 10.1007/s00170-014-5627-8
Bossmanns, 1999, A thermal model for high speed motorized spindles, Int. J. Mach. Tool Manufact., 39, 1345, 10.1016/S0890-6955(99)00005-X
Ma, 2015, Thermal characteristics analysis and experimental study on the high-speed spindle system, Int. J. Adv. Des. Manuf. Technol., 79, 469, 10.1007/s00170-015-6821-z
Dai, 2022, Thermal error prediction model of a motorized spindle considering variable preload, Int. J. Adv. Des. Manuf. Technol., 121, 4745, 10.1007/s00170-022-09679-y
Liu, 2015, Thermal characteristic analysis of high-speed motorized spindle system based on thermal contact resistance and thermal-conduction resistance, Int. J. Adv. Des. Manuf. Technol., 76, 1913, 10.1007/s00170-014-6350-1
Li, 2022, Thermal error modeling of electrical spindle based on optimized ELM with marine predator algorithm, Case Stud. Therm. Eng., 38, 10.1016/j.csite.2022.102326
Babu, 2014, Prediction of transient thermo-mechanical behavior of the headstock assembly of a CNC lathe, Int. J. Adv. Des. Manuf. Technol., 74, 17, 10.1007/s00170-014-5916-2
Peng, 2022, Study on the spindle axial thermal error of a five-axis machining center considering the thermal bending effect, Precis. Eng., 75, 210, 10.1016/j.precisioneng.2022.02.009
Raja, 2019, Prediction of temperature distribution of the spindle system by proposed finite volume and element method, Arabian J. Sci. Eng., 44, 5779, 10.1007/s13369-019-03732-x
Satrústegui, 2017, Design criteria for water cooled systems of induction machines, Appl. Therm. Eng., 114, 1018, 10.1016/j.applthermaleng.2016.12.031
Huang, 2006, A three-dimensional inverse problem in estimating the internal heat flux of housing for high speed motors, Appl. Therm. Eng., 26, 1515, 10.1016/j.applthermaleng.2005.12.009
Chien, 2008, 3-D numerical and experimental analysis of a built-in motorized high-speed spindle with helical water cooling channel, Appl. Therm. Eng., 28, 2327, 10.1016/j.applthermaleng.2008.01.015
Tang, 2021, Analysis of influence of different convex structures on cooling effect of rectangular water channel of motorized spindle, Appl. Therm. Eng., 198, 10.1016/j.applthermaleng.2021.117478
Zhang, 2021, Design and thermal characteristic analysis of motorized spindle cooling system, Adv. Mech. Eng., 13, 10.1177/16878140211020878
Krishna, 2012, Prediction of pressure drop in helical coil with single phase flow of non-Newtonian fluid, Int. J. Appl. Res. Mech. Eng., 2, 31
Jiang, 2021, Thermal error prediction and reliability sensitivity analysis of motorized spindle based on Kriging model, Eng. Fail. Anal., 127, 10.1016/j.engfailanal.2021.105558
Zheng, 2023, Thermal performance and heat transfer reliability analysis in helically corrugated helical tube, Int. J. Therm. Sci., 183, 10.1016/j.ijthermalsci.2022.107849
Sun, 2022, Flow measurement uncertainty quantification for building central cooling systems with multiple water-cooled chillers using a Bayesian approach, Appl. Therm. Eng., 202, 10.1016/j.applthermaleng.2021.117857
Zhang, 2019, Global moment‐independent sensitivity analysis of single‐stage thermoelectric refrigeration system, Int. J. Energy Res., 43, 9055, 10.1002/er.4811
Meng, 2015, A hybrid chaos control approach of the performance measure functions for reliability-based design optimization, Comput. Struct., 146, 32, 10.1016/j.compstruc.2014.08.011
Meng, 2023, Unified reliability-based design optimization with probabilistic, uncertain-but-bounded and fuzzy variables, Comput. Methods Appl. Mech. Eng., 407, 10.1016/j.cma.2023.115925
Ma, 2023, Reliability-based design optimization using adaptive Kriging-A single-loop strategy and a double-loop one, Reliab. Eng. Syst. Saf., 237, 10.1016/j.ress.2023.109386
Meng, 2022, Efficient decoupling-assisted evolutionary/metaheuristic framework for expensive reliability-based design optimization problems, Expert Syst. Appl., 205, 10.1016/j.eswa.2022.117640
Meng, 2023, Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study, Struct. Multidiscip. Optim., 66, 191, 10.1007/s00158-023-03639-0
Moustapha, 2019, Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework, Struct. Multidiscip. Optim., 60, 2157, 10.1007/s00158-019-02290-y
Song, 2023, A two-stage Kriging estimation variance reduction method for efficient time-variant reliability-based design optimization, Reliab. Eng. Syst. Saf., 237, 10.1016/j.ress.2023.109339
Ni, 2020, Reliability analysis and design optimization of nonlinear structures, Reliab. Eng. Syst. Saf., 198, 10.1016/j.ress.2020.106860
Peng, 2021, Reliability-based design optimization of adaptive sliding base isolation system for improving seismic performance of structures, Reliab. Eng. Syst. Saf., 205, 10.1016/j.ress.2020.107167
Morse, 2022, Reliability-based bottom-up manufacturing cost optimisation for composite aircraft structures, Struct. Multidiscip. Optim., 65, 159, 10.1007/s00158-022-03250-9
Qi, 2022, A Bi-stage multi-objective reliability-based design optimization using surrogate model for reusable thrust chambers, Reliab. Eng. Syst. Saf., 221, 10.1016/j.ress.2022.108362
Lee, 2020, Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach, Struct. Multidiscip. Optim., 61, 1529, 10.1007/s00158-019-02434-0
Xu, 2021, Multi-objective reliability-based design optimization for the reducer housing of electric vehicles, Eng. Optim., 1
Fan, 2022, Thermoelectric-based cooling system for high-speed motorized spindle I: design and control mechanism, Int. J. Adv. Des. Manuf. Technol., 121, 3787, 10.1007/s00170-022-09568-4
Fan, 2022, Thermoelectric-based cooling system for high-speed motorized spindle II: optimization and validation strategy, Int. J. Adv. Des. Manuf. Technol., 119, 6521, 10.1007/s00170-022-08709-z
Buschart, 1979, Motor efficiency, IEEE Trans. Ind. Appl., 507, 10.1109/TIA.1979.4503699
Hao, 2022, Thermal-mechanical dynamic interaction in high-speed motorized spindle considering nonlinear vibration, Int. J. Mech. Sci.
Hao, 2023, Dynamic characteristics analysis of asynchronous motorized spindle considering combined unbalanced magnetic pull and nonlinear bearing restoring force effects, Mech. Syst. Signal Process., 185, 10.1016/j.ymssp.2022.109807
Churchill, 1975, Correlating equations for laminar and turbulent free convection from a vertical plate, Int. J. Heat Mass Tran., 18, 1323, 10.1016/0017-9310(75)90243-4
Goudarzi, 2022, Experimental investigation of a new combined refrigeration system, Int. J. Refrig., 134, 312, 10.1016/j.ijrefrig.2021.11.009
Meng, 2023, New bubble sampling method for reliability analysis, Struct. Multidiscip. Optim., 66, 1, 10.1007/s00158-023-03626-5
Luo, 2022, Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis, Comput. Methods Appl. Mech. Eng., 388, 10.1016/j.cma.2021.114218
Kaymaz, 2005, Application of kriging method to structural reliability problems, Struct. Saf., 27, 133, 10.1016/j.strusafe.2004.09.001
Yacoubi, 2023, A multi-objective chaos game optimization algorithm based on decomposition and random learning mechanisms for numerical optimization, Appl. Soft Comput., 10.1016/j.asoc.2023.110525
Talatahari, 2021, Chaos Game Optimization: a novel metaheuristic algorithm, Artif. Intell. Rev., 54, 917, 10.1007/s10462-020-09867-w
Barakat, 2022, Novel chaos game optimization tuned-fractional-order PID fractional-order PI controller for load–frequency control of interconnected power systems, Protect. Contr. Mod. Power Syst., 7, 1
Mirzendehdel, 2019, Exploring feasible design spaces for heterogeneous constraints, Comput. Aided Des., 115, 323, 10.1016/j.cad.2019.06.005
Verma, 2020, Robust optimum design of tapered roller bearings based on maximization of fatigue life using evolutionary algorithm, Mech. Mach. Theor., 152, 10.1016/j.mechmachtheory.2020.103894
Ravber, 2022, Maximum number of generations as a stopping criterion considered harmful, Appl. Soft Comput., 128, 10.1016/j.asoc.2022.109478
Harris, 2007
Palmgren, 1959
Fang, 2018, Determination of optimum preload considering the skidding and thermal characteristic of high-speed angular contact ball bearing, J. Mech. Des., 140, 10.1115/1.4039386
Li, 2004, Integrated dynamic thermo-mechanical modeling of high speed spindles, part 1: model development, J. Manuf. Sci. Eng., 126, 148, 10.1115/1.1644545
Zhao, 2022, An efficient extreme value moment method combining adaptive Kriging model for time-variant imprecise reliability analysis, Mech. Syst. Signal Process., 171, 10.1016/j.ymssp.2022.108905
Dutta, 2018, Optimisation of tensile membrane structures under uncertain wind loads using PCE and kriging based metamodels, Struct. Multidiscip. Optim., 57, 1149, 10.1007/s00158-017-1802-5
Talatahari, 2020, Optimization of constrained mathematical and engineering design problems using chaos game optimization, Comput. Ind. Eng., 145, 10.1016/j.cie.2020.106560
Azizi, 2022, Shape and size optimization of truss structures by Chaos game optimization considering frequency constraints, J. Adv. Res., 41, 89, 10.1016/j.jare.2022.01.002
Khodadadi, 2023, Multi-objective chaos game optimization, Neural Comput. Appl., 35, 14973, 10.1007/s00521-023-08432-0
