A Reliability-Enhanced Forming Grinding Method of Cylindrical Involute Gears for Electrical Vehicles

A Reliability-Enhanced Forming Grinding Method of Cylindrical Involute Gears for Electrical Vehicles

A new form-grinding method of cylindrical involute gears for electrical vehicles (EVs) is proposed to obtain stable contact performance of gear tooth surfaces and improve their reliability based on a predesigned controllable second-order transmission error function. The predesigned second-order transmission error function is assigned to a gear drive based on design specifications of EVs. Mathematical models of modified gear tooth surfaces of the gear pair can be obtained by the predesigned second-order trans-mission error function. Moreover, a section profile of a form-grinding wheel for cylindri-cal involute gears can be determined by a coordinate transformation matrix during form-grinding and settings of computer numerical control form-grinding programs for this active design method. This approach is ultimately conducted on three cylindrical involute gear pairs to demonstrate its feasibility and effectiveness.

___

  • Chen LL, Zhang H, Ni F. Present situation and development trend for construction of electric vehicle energy supply infrastructure. Power Syst Technol. 2011;35(14):11–17.
  • Geng Z, Li G. Optimal clutch control of a one-way clutch assistant transmission for electrical vehicles. Int J Auto Sci Tech. 2022;6(3):257-264.
  • Lu TL, Dai F, Zhang JW, Wu MX. Optimal control of dry clutch engagement based on the driver's starting intentions. Proc Instn Mech Eng, Part D: J Automob Eng. 2012;226(8):1048-1057.
  • Di X, Huang Y, Ge Y, Li G, Hu M. Fuzzy-PID speed control of diesel engine based on load estimation. SAE Int J Engines. 2015;8(4):1669-1677.
  • Huang Y, Wan G, Cui T, Li G. A study on engine control strategy for gear shifting of AMT. Automotive Engineering. 2012;34(3):245-248.
  • Jiang D, Huang Y, Li G, Hao D, Zuo Z. Design of a speed tracking controller for heavy-duty vehicles with an all-speed governor based on a model predictive control strategy. Int J Engine Res. 2017;18(9):930-940.
  • Li G, Zhu WD. Experimental investigation on control of an infinitely variable transmission system for tidal current energy converters. IEEE/ASME Trans Mechatron. 2021; 26(4):1960-1967.
  • Li G, Zhu WD. Theoretical and experimental investigation on an integral time-delay feedback control combined with a closed-loop control for an infinitely variable transmission system. Mech Mach Theory. 2021;164:104410.
  • Li X, Li G, Ren J, Li W. Numerical simulation of helical gear tooth root crack initiation life of high-speed EMUs. China Mech Eng. 2018;29(09):1017-1024.
  • Wang ZH, Wang J, Wang QL, Li G. Transmission error of spiral bevel gear based on finite element method. J of Vib Shock. 2014;33(14):165-170.
  • Hu YH, Li G, Zhu WD, Cui JK. An elastic transmission error compensation method for rotary vector speed reducers based on error sensitivity analysis. Appl Sci. 2020;10(2):481.
  • Yan J, Li G, Liu K. Development trend of wind power technology. Int J Adv Eng Res Sci. 2020;7(6):124-132.
  • Li G, Zhu WD. Time-delay closed-loop control of an infinitely variable transmission system for tidal current energy converters. Renew Energy. 2022;189:1120-1132.
  • Li G. Design and modeling of an impulse continuously variable transmission with a rotational swashplate. Int J Auto Sci Tech. 2020;4(4):307-313.
  • Xu M, Zhang X, Hu G, Li G. The structure design and flow field simulation of a fire water monitor driven by worm gear with bevel gear. Mach Tool & Hydra. 2016;6:57-61.
  • Gu KL, Wang ZH, Li G, Liu XR. Optimization of geometric parameters of the straight conjugate internal gear pump based on GA. Elec Sci Tech, 2017;30(6):39-42.
  • Zhang XL, Wang ZH, Li G. Research on virtual hobbing simulation and study of tooth surface accuracy of involute helical gears. Appl Mech Mater. 2012;155:601-605.
  • Wang ZH, Li G, Zhang XL, Li KS. Study on the virtual hobbing simulation and tooth surface accuracy of the entirety of involute helical gears. J Mech Trans. 2012;36(8): 9-13.
  • Li G, Wang ZH, Zhu WD, Kubo A. A function-oriented active form-grinding method for cylindrical gears based on error sensitivity. Int J Adv Manuf Tech. 2017;92(5-8):3019-3031.
  • Wang ZH, Zhu WM, Li G, Geng Z. Optimization of contact line for form-grinding modified helical gears based on neural network. China Mech Eng. 2014;25(12):1665-1671.
  • Li G. An active forming grinding method for cylindrical involute gears based on a second-order transmission error model. SCIREA J Mech Eng. 2019;2(1):1-14.
  • Li G, Zhu WD. An active ease-off topography modification approach for hypoid pinions based on a modified error sensitivity analysis method. ASME J Mech Des. 2019;141(9):093302.
  • Li G, Wang ZH, Kubo A. Error-sensitivity analysis for hypoid gears using a real tooth surface contact model. Proc Instn Mech Eng, Part C: J Mech Eng Sci. 2017;231(3):507-521.
  • Zhang WX, Wang ZH, Liu XR, Li G, Wan PL, Wang W. Research on optimization of temperature measuring point and thermal error prediction method of CNC machine tools. J Shaanxi University of Tech (Na Sci Ed). 2017; 33(3):18-24.
  • Wang ZH, Cao H, Li G, Liu XR. Compensation of the radial error of measuring head based on forming grinding machine. J Mech Trans. 2017;41(3):143-146.
  • Wang ZH, Song XM, He WM, Li G, Zhu WM, Geng Z. Tooth surface model construction and error evaluation for tooth-trace modification of helical gear by form grinding. China Mech Eng. 2015;26(21):2841-2847.
  • Li G, Wang ZH, Kubo A. Tooth contact analysis of spiral bevel gears based on digital real tooth surfaces. Chin J Mech Eng. 2014;50(15):1-11.
  • Wang ZH, Wang J, Ma PC, Li G. Dynamic transmission error analysis of spiral bevel gears with actual tooth surfaces. J Vib Shock. 2014;33(15):138-143.
  • Li G, Wang ZH, Kubo A. Tooth contact analysis of spiral bevel gears based on digital real tooth surfaces. Chin J Mech Eng. 2014;50(15):1-11.
  • Li G, Wang ZH, Kubo A. The modeling approach of digital real tooth surfaces of hypoid gears based on non-geometric-feature segmentation and interpolation algorithm. Int J Prec Eng Manuf. 2016;17(3):281-292.
  • Li G, Zhu WD. Design and power loss evaluation of a noncircular gear pair for an infinitely variable transmission. Mech Mach Theory. 2021;156:104137.
  • Wei XT, Zhu JP, Li G. Automatic NC Programming for chamfering addendum of spiral bevel gear based on UG/Open. Appl Mech Mater. 2013;365:950-954
  • Li G, Geng Z. Gear bending stress analysis of automatic transmissions with different fillet curves. Int J Auto Sci Tech. 2021;5(2):99-105.
  • Huang DQ, Wang ZH, Li G, Zhu WD. Conjugate approach for hypoid gears frictional loss comparison between different roughness patterns under mixed elastohydrodynamic lubrication regime. Tribo Int. 2019;140:105884.
  • Li G, Wang ZH, Zhu WD. Prediction of surface wear of involute gears based on a modified fractal method. ASME J Tribo. 2019;141(3):031603.
  • Wu J, Wang ZH, Li G. Study on crack propagation characteristics and remaining life of helical gear. J Mech Trans. 2014;38(12):1-4.
  • Li G, Wang ZH, Geng Z, Zhu WM. Modeling approach of digital real tooth surfaces of hypoid gears based on non-geometric-feature segmentation and interpolation algorithm. Chin J Mech Eng. 2015;51(7):77-84.
  • Li G, Geng Z. Tooth contact analysis of herringbone rack gears of an impulse continuously variable transmission. Int J Auto Sci Tech. 2021;5(1):52-57.
  • Wang ZH, Yuan KK, Li G. Optimization identification for dynamic characteristics parameters of sliding joints based on response surface methodology. China Mech Eng. 2016;27(5):622-626.
  • Hu YH, Li G, Hu AM. Iterative optimization of orbital dynamics based on model prediction. Front Arti Intel App. 2019;320:76-86.