References
- Rajesh S, Marimuthu P, Babu PD. Optimization of contact stress for the high contact ratio spur gears achieved through novel hob cutter. Forsch Ingenieurwes. 2022;86(1):123–131. doi: 10.1007/s10010-022-00577-z
- He HF, Zhou Y, Liu HL, et al. Study on gear bending fatigue considering gradient characteristics: numerical analysis and experiments. Eng Fract Mech. 2023;277:108983. doi: 10.1016/j.engfracmech.2022.108983
- Wu JT, Yang Y, Cheng JS. A novel estimation method of friction coefficient for evaluating gear pitting fault. Eng Fail Anal. 2021;129:105715. doi: 10.1016/j.engfailanal.2021.105715
- Mao TY, Liu HJ, Wei PT, et al. An improved estimation method of gear fatigue strength based on sample expansion and standard deviation correction. Int J Fatigue. 2022;161:106887. doi: 10.1016/j.ijfatigue.2022.106887
- Zhang YT, Wang G, Shi WK, et al. Modeling and analysis of deformation for spiral bevel gear in die quenching based on the hardenability variation. J Mater Eng Perform. 2017;26(7):3034–3047. doi: 10.1007/s11665-017-2729-0
- Zhang YT, Shi WK, Yang L, et al. The effect of hardenability variation on phase transformation of spiral bevel gear in quenching process. J Mater Eng Perform. 2016;25(7):2727–2735. doi: 10.1007/s11665-016-2125-1
- Wei SP, Wang G, Zhao XH, et al. Experimental study on vacuum carburizing process for low-carbon alloy steel. J Mater Eng Perform. 2014;23(2):545–550. doi: 10.1007/s11665-013-0762-1
- Guo JY, Deng XH, Wang HZ, et al. Modeling and simulation of vacuum low pressure carburizing process in gear steel. Coatings. 2021;11(8):1003. doi: 10.3390/coatings11081003
- Li XS, Ju DY, Cao JT, et al. Effect of transformation plasticity on gear distortion and residual stresses in carburizing quenching simulation. Coatings. 2021;11(10):1224. doi: 10.3390/coatings11101224
- Chen J, Li YW, Zhang CH, et al. Urban flooding prediction method based on the combination of LSTM neural network and numerical model. Int J Environ Res Public Health. 2023;20(2):1043. doi: 10.3390/ijerph20021043
- Minghui W, Aihua D, Hongjun C, et al. Classification of wellhead device defects based on CNN-GA-BP model. J Magn Magn Mater. 2023;572:170606. doi: 10.1016/j.jmmm.2023.170606
- Ren X, Dong K, Feng C, et al. Application of MLR, BP and PCA-BP neural network for predicting FeO in bottom-blowing O-2-CaO converter. Metals (Basel). 2023;13(4):782.
- Cao QJ, Wang LY, Zhang JJ, et al. Identification of vibration signal for residual pressure utilization hydraulic unit using MRFO-BP neural network. Shock Vib. 2022:8506273. doi: 10.1155/2022/8506273
- Wang Y, Wang W, Chen Y. Carnivorous plant algorithm and BP to predict optimum bonding strength of heat-treated woods. Forests. 2023;14(1):51.
- Tang XW, Xu B, Xu ZC. Reactor temperature prediction method based on CPSO-RBF-BP neural network. Appl Sci. 2023;13(5):3230. doi: 10.3390/app13053230
- Tian Y, Liu XL, Zhang L, et al. Prediction of thermophysical properties of chlorine eutectic salts via artificial neural network combined with polar bear optimization. J Energy Storage. 2022;55:105658. doi: 10.1016/j.est.2022.105658
- Feng R, Chen MH, Xie LS, et al. Research on hot deformation behavior and constitutive relation of diffusion bonded TC4 titanium alloy. J Mater Sci. 2022;57(47):21777–21797. doi: 10.1007/s10853-022-07977-0
- Munts VA, Baskakov AP. Rate of carburizing of steel. Met Sci Heat Treat. 1980;22(5-6):358–360. doi: 10.1007/BF00693263
- Li L, Zhang LB, Dai LQ, et al. Effects of microwave sintering of properties and microstructure of ferromanganese alloy powders. Arch Metall Mater. 2018;63(2):547–553.
- Zhang YT, Tang ZR, Zhao LJ, et al. Effect of initial crack position on crack propagation behaviors of heavy-duty transmission gear. Materials (Basel). 2023;16(17):5961. doi: 10.3390/ma16175961
- Zhang RZ, Zhu YJ. Predicting the mechanical properties of heat-treated woods using optimization-algorithm-based BPNN. Forests. 2023;14(5):935.
- Kabuba J, Maliehe AV. Application of neural network techniques to predict the heavy metals in acid mine drainage from South African mines. Water Sci Technol. 2021;84(12):3489–3507. doi: 10.2166/wst.2021.494
- Sun ZX, Deng LZ, Dai TT, et al. Steam blanching strengthened far-infrared drying of broccoli: effects on drying kinetics, microstructure, moisture migration, and quality attributes. Sci Hortic. 2023;317:112040. doi: 10.1016/j.scienta.2023.112040