| Issue |
Manufacturing Rev.
Volume 11, 2024
Special Issue - 21st International Conference on Manufacturing Research - ICMR2024
|
|
|---|---|---|
| Article Number | 24 | |
| Number of page(s) | 13 | |
| DOI | https://doi.org/10.1051/mfreview/2024023 | |
| Published online | 24 December 2024 | |
- M. Kleiner, M. Geiger, A. Klaus, Manufacturing of lightweight components by metal forming, CIRP Ann. 52 (2003) 521 [CrossRef] [Google Scholar]
- K. Gupta, R.F. Laubscher, J.P. Davim, N.K. Jain, Recent developments in sustainable manufacturing of gears: a review, J. Clean. Prod. 112 (2016) 3320 [CrossRef] [Google Scholar]
- Q. Xia, G. Xiao, H. Long, X. Cheng, X. Sheng, A review of process advancement of novel metal spinning, Int. J. Mach. Tools Manuf. 85 (2014) 100 [CrossRef] [Google Scholar]
- Q. Xia, X. Fan, H. Zhou, G. Xiao, Research on splitting spinning method for small modulus toothed parts made of difficult-to-deformed metals based on current-assisted forming, J. Plasticity Eng. 31 (2024) 193–199 (in Chinese) [Google Scholar]
- Q. Xia, H. Zhou, G. Xiao, C. Chen, Research on the influence of pulse current parameters on the tooth filling during current-assisted splitting spinning of small module tooth-shaped part, in Y. Qin, X. Zhou, S. Yang, J. Zhao, B. Chen, M. Al-Ahmad (eds.). Proceedings of the 21st International Conference on Manufacturing Research (ICMR 2024) (EDP Sciences, Glasgow, Scotland, August 28-30, 2024), pp. 01002 [Google Scholar]
- Q. Xia, X. Fan, H. Zhou, G. Xiao, Optimization of current assisted splitting spinning forming process for small module tooth-shaped parts made of difficult-to-deformed material, J. Netshape Forming Eng. 16 (2024) 66–75 (in Chinese) [Google Scholar]
- R. Li, Z. Zheng, T. Zhao, Q. Liu, Z. Yu, H. Zhang, Forming quality optimization of 2219 aluminum alloy thin-walled complex components based on fracture constraint in spin forming, Int. J. Adv. Manuf. Technol. 133 (2024) 433 [CrossRef] [Google Scholar]
- Z. Zhang, Y. Lan, H. Ding, Y. Xie, On optimization of spin-forming process parameters for magnesium alloy wheel hub based on gray relational analysis, Materials 17 (2024) 959 [CrossRef] [Google Scholar]
- B. Li, Y. Li, P. Zhu, W. Ma, Y. Xiao, X. Li, Study on optimization of thermal spinning process of accumulator shell, Mech. Ind. 21 (2020) 402 [CrossRef] [EDP Sciences] [Google Scholar]
- L. Zhang, L. Li, N. Yang, S. Liu, H. Chi, J. Xu, S. Zhang, F. Sun, J. Zhong, Q. He, Y. An, Active shovel spinning process: plastic deformation behavior, microstructure, and properties, Thin-Walled Struct. 206 (2025) 112714 [CrossRef] [Google Scholar]
- M. Khodadadi, K. Khalili, A. Ashrafi, Optimizing parameters effective on built-up edge in internal gear flowforming process, Sādhanā 47 (2022) 99 [Google Scholar]
- Q. Xia, Z. Lai, H. Long, X. Cheng, A study of the spinning force of hollow parts with triangular cross sections, Int. J. Adv. Manuf. Technol. 68 (2013) 2461 [CrossRef] [Google Scholar]
- Q. Xia, Y. Wang, N. Yuan, X. Cheng, Study on spinning of pentagonal cross-section hollow-part based on orthogonal experiment design, Adv. Mater. Res. 314–316 (2011) 783 [Google Scholar]
- Q. Xia, C. Chen, G. Xiao, H. Zhou, Research on flow behavior of 30CrMnSiA during current-assisted plane strain compression deformation, IOP Conf. Ser. Mater. Sci. Eng. 1270 (2022) 012003 [CrossRef] [Google Scholar]
- A. Berger, U. Ziesing, S. Benito, S. Weber, Experimental determination of the high-temperature thermal conductivity of steel powders, Powder Technol. 431 (2024) 119022 [CrossRef] [Google Scholar]
- Q. Xia, X. Fan, H. Zhou, G. Xiao, Flow behaviors of 30CrMnSiA alloy structural steel during current assisted uniaxial compression, J. Plasticity Eng. 30 (2023) 125–132 (in Chinese) [Google Scholar]
- Q. Xia, C. Chen, G. Xiao, K. Chen, H. Zhou, A modified dislocation density-based model of 30CrMnSiA considering the coupling effect of electroplasticity and grain refinement during the pulsed current-assisted plane strain deformation, J. Mater. Sci. 58 (2023) 12793 [CrossRef] [Google Scholar]
- K. Lu, C. Wang, H. He, X. Fan, F. Chen, F. Qi, Artificial neural network prediction and multi-objective genetic algorithm optimization of the microchannel heat sink with trapezoidal ribs, Therm. Sci. Eng. Prog. 50 (2024) 102546 [CrossRef] [Google Scholar]
- C. Li, T. Yang, H. Luo, L. Tong, P. Bénard, R. Chahine, J. Xiao, Multi-objective optimization of breakthrough times for hydrogen purification through layered bed pressure swing adsorption based on genetic algorithm and artificial neural network model, Int. J. Hydrog. Energy 52 (2024) 390 [CrossRef] [Google Scholar]
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