Please wait a minute...
金属学报  2026, Vol. 62 Issue (1): 29-46    DOI: 10.11900/0412.1961.2025.00238
  综述 本期目录 | 过刊浏览 |
电弧增材制造高强度Al-Mg-Sc系合金研究进展:冶金缺陷、微观组织和力学性能
马成勇1(), 侯旭儒1,2, 赵琳1(), 阚成玲1, 曹洋1, 彭云1, 田志凌1
1 钢铁研究总院有限公司 北京 100081
2 中国工程物理研究院 机械制造工艺研究所 绵阳 621900
Research Progress on High-Strength Al-Mg-Sc Alloys Fabricated by Wire Arc Additive Manufacturing: Metallurgical Defects, Microstructure, and Performance
MA Chengyong1(), HOU Xuru1,2, ZHAO Lin1(), KAN Chengling1, CAO Yang1, PENG Yun1, TIAN Zhiling1
1 Central Iron and Steel Research Institute, Beijing 100081, China
2 Institute of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mianyang 621900, China
引用本文:

马成勇, 侯旭儒, 赵琳, 阚成玲, 曹洋, 彭云, 田志凌. 电弧增材制造高强度Al-Mg-Sc系合金研究进展:冶金缺陷、微观组织和力学性能[J]. 金属学报, 2026, 62(1): 29-46.
Chengyong MA, Xuru HOU, Lin ZHAO, Chengling KAN, Yang CAO, Yun PENG, Zhiling TIAN. Research Progress on High-Strength Al-Mg-Sc Alloys Fabricated by Wire Arc Additive Manufacturing: Metallurgical Defects, Microstructure, and Performance[J]. Acta Metall Sin, 2026, 62(1): 29-46.

全文: PDF(7369 KB)   HTML
摘要: 

电弧增材制造(WAAM)技术因其制造成本低、沉积效率高、成形构件无尺寸限制等特点,成为大型复杂构件一体化制造最具潜力的技术之一,尤其适用于焊接性能优异的Al-Mg-Sc系合金。基于此,本文详细综述了WAAM成形Al-Mg-Sc系合金的研究进展,包括冶金缺陷、微观组织和成形性能。在WAAM中,通过优化丝材成分、打印工艺和引入层间搅拌摩擦加工(FSP)均能有效降低气孔率,改善微观组织和提升合金性能。成形合金最低气孔率约为0.026%;由于Sc强烈的微合金化作用,微观组织均为等轴晶,平均晶粒尺寸约为10 μm,成形合金表现出优异的性能,直接时效后,合金最高抗拉强度可达470 MPa,且具有优异的塑性。然而,WAAM专用Al-Mg-Sc系合金丝材的研发、冶金缺陷形成的内在机理、粗大微米级Al3(Sc1 - x, Zr x )相的调控以及多性能的探究仍需进一步解决。最后,基于机器学习在智能制造中的优势,对未来机器学习在WAAM成形中的应用进行了展望:正向性能预测与逆向成分/工艺求解,从而加速WAAM专用高强度铝合金丝材研发,并降低生产成本、缩短研制周期。

关键词 电弧增材制造高强度Al-Mg-Sc合金冶金缺陷组织和性能机器学习    
Abstract

Wire arc additive manufacturing (WAAM) has emerged as one of the most promising technologies for producing large and complex components due to its low cost, high deposition efficiency, and absence of size limitations. It is particularly suitable for Al-Mg-Sc alloys, which exhibit excellent weldability. This article provides a detailed review of studies from the past five years on WAAM Al-Mg-Sc alloys, focusing on metallurgical defects, microstructural evolution, and resulting performance. Existing researches indicated that in WAAM, optimizing wire compositions, process parameters, and introducing interlayer friction stir processing (FSP) can effectively reduce porosity, improve microstructure, and enhance performance. The lowest porosity was about 0.026%. Due to the strong microalloying effect of Sc, the microstructures were all equiaxed grains with an average grain size of about 10 μm. The alloys also exhibited excellent performance, achieving a highest tensile strength of approximately 470 MPa after direct aging, along with outstanding plasticity. However, the development of WAAM-specific Al-Mg-Sc wires, the mechanisms underlying metallurgical defect formation, the control of coarse and fine Al3(Sc1 - x, Zr x ) precipitates, and the systematic evaluation of multi-property performance still need to be further addressed. Finally, considering the advantages of machine learning (ML) in the intelligent manufacturing, this review discussed its potential applications in WAAM, including forward performance prediction and reverse optimization of alloy compositions and processing parameters. Such ML-assisted approaches were expected to accelerate the development of high-strength Al-Mg-Sc filler wires, reduce manufacturing costs, and shorten alloy and process development cycles.

Key wordswire arc additive manufacturing (WAAM)    high-strength Al-Mg-Sc alloy    metallurgical defect    microstructure and performance    machine learning
收稿日期: 2025-08-19     
ZTFLH:  TG146.2  
基金资助:国家重点研发计划项目(2024YFB4609700)
通讯作者: 马成勇,machyong@163.com,主要从事先进焊接、激光加工和增材制造研究
赵 琳,hhnds@aliyun.com,主要从事先进焊接、激光加工和增材制造研究
作者简介: 马成勇,男,1973年生,教授,博士
图1  电弧增材制造(WAAM)示意图
图2  三种WAAM技术原理图[5]及其与冷金属过渡(CMT)技术的特点[26,27]
图3  熔滴过渡示意图[29]及不同CMT模式焊接电源波形图
图4  富Al Al-Sc二元合金相图
图5  H在铝合金固、液两相中的溶解度[46,47]
图6  WAAM成形不同Sc和Zr元素含量合金的气孔率及气孔分布[43]
图7  不同打印方式成形Al-Mg-Sc-Zr合金气孔分布结果[13]
图8  WAAM成形Al-Mg-Sc系合金的微观组织和力学性能[58]
图9  WAAM成形Al-Mg-Sc-Zr合金的微观组织和耐腐蚀性能[61]
图10  不同打印模式时WAAM成形Al-Mg-Sc-Ti合金组织和力学性能[49]
图11  控制层间温度(100 ℃)和连续打印成形Al-Mg-Sc-Zr合金的微观组织[13]
图12  WAAM成形Al-Mg-Sc-Zr合金微观组织演变机理及强化机制[13]
图13  WAAM成形Al-Mg-Sc系合金强度与塑性的关系[13,49,51,53,54,58,59,61,63,64]
图14  机器学习算法在WAAM中的应用[71,74]
图15  基于增强学习的WAAM缺陷监测流程[77]
[1] Montevecchi F, Venturini G, Grossi N, et al. Idle time selection for wire-arc additive manufacturing: A finite element-based technique [J]. Addit. Manuf., 2018, 21: 479
[2] Gordon J V, Haden C V, Nied H F, et al. Fatigue crack growth anisotropy, texture and residual stress in austenitic steel made by wire and arc additive manufacturing [J]. Mater. Sci. Eng., 2018, A724: 431
[3] Wang G Q, Zhao Y H, Hao Y F. Friction stir welding of high-strength aerospace aluminum alloy and application in rocket tank manufacturing [J]. J. Mater. Sci. Technol., 2018, 34: 73
[4] Zou Y, Cao L F, Wu X D, et al. Revealing the coarsening behavior of precipitates and its effect on the thermal stability in Tʹ and ηʹ dual-phase strengthened Al-Zn-Mg-Cu alloys [J]. J. Mater. Sci. Technol., 2025, 220: 54
[5] Wu B T, Pan Z X, Ding D H, et al. A review of the wire arc additive manufacturing of metals: Properties, defects and quality improvement [J]. J. Manuf. Process., 2018, 35: 127
[6] Dhinakaran V, Ajith J, Fahmidha A F Y, et al. Wire Arc Additive Manufacturing (WAAM) process of nickel based superalloys—A review [J]. Mater. Today: Proceed., 2020, 21: 920
[7] Derekar K S. A review of wire arc additive manufacturing and advances in wire arc additive manufacturing of aluminium [J]. Mater. Sci. Technol., 2018, 34: 895
[8] DebRoy T, Wei H L, Zuback J S, et al. Additive manufacturing of metallic components—Process, structure and properties [J]. Prog. Mater. Sci., 2018, 92: 112
[9] Li Y H, Wu S J, Wang J S, et al. Microstructure homogeneity and strength-toughness balance in submerged arc additive manufactured Mn-Ni-Mo high-strength steel by unique intrinsic heat treatment [J]. J. Mater. Process. Technol., 2022, 307: 117682
[10] Rodideal N, Machado C M, Infante V, et al. Mechanical characterization and fatigue assessment of wire and arc additively manufactured HSLA steel parts [J]. Int. J. Fatigue, 2022, 164: 107146
[11] Zhu S, Du W B. State-of-art of wire arc additive remanufacturing technology [J]. Electric Welding Machine, 2020, 50(9): 251
[11] 朱 胜, 杜文博. 电弧增材再制造技术研究进展 [J]. 电焊机, 2020, 50(9): 251
[12] Hou X R. Study on microstructure evolution mechanism and performance control of high-strength Al-Mg-Sc alloys fabricated by wire arc additive manufacturing [D]. Beijing: University of Science and Technology Beijing, 2025
[12] 侯旭儒. 电弧增材制造高强度Al-Mg-Sc系合金组织演变机理与性能调控研究 [D]. 北京: 北京科技大学, 2025
[13] Hou X R, Zhao L, Ren S B, et al. A comparative study on Al-Mg-Sc-Zr alloy fabricated by wire arc additive manufacturing with controlling interlayer temperature and continuous printing: Porosity, microstructure, and mechanical properties [J]. J. Mater. Sci. Technol., 2024, 193: 199
[14] Kazanas P, Deherkar P, Almeida P, et al. Fabrication of geometrical features using wire and arc additive manufacture [J]. Proc. Inst. Mech. Eng., 2012, 226B: 1042
[15] Bermingham M J, Thomson-Larkins J, St John D H, et al. Sensitivity of Ti-6Al-4V components to oxidation during out of chamber Wire + Arc Additive Manufacturing [J]. J. Mater. Process. Technol., 2018, 258: 29
[16] Williams S W, Martina F, Addison A C, et al. Wire + arc additive manufacturing [J]. Mater. Sci. Technol., 2016, 32: 641
[17] Hou X R, Zhao L, Ren S B, et al. Effect of heat input on microstructure and mechanical properties of marine high strength steel fabricated by wire arc additive manufacturing [J]. Acta Metall. Sin., 2023, 59: 1311
[17] 侯旭儒, 赵 琳, 任淑彬 等. 热输入对电弧增材制造船用高强钢组织与力学性能的影响 [J]. 金属学报, 2023, 59: 1311
[18] Gu J L, Gao M J, Yang S L, et al. Pore formation and evolution in wire + arc additively manufactured 2319 Al alloy [J]. Addit. Manuf., 2019, 30: 100900
[19] Su C C, Chen X Z, Gao C, et al. Effect of heat input on microstructure and mechanical properties of Al-Mg alloys fabricated by WAAM [J]. Appl. Surf. Sci., 2019, 486: 431
[20] Panchenko O, Kurushkin D, Mushnikov I, et al. A high-performance WAAM process for Al-Mg-Mn using controlled short-circuiting metal transfer at increased wire feed rate and increased travel speed [J]. Mater. Des., 2020, 195: 109040
[21] Røyset J, Ryum N. Scandium in aluminium alloys [J]. Int. Mater. Rev., 2005, 50: 19
[22] Davydov V G, Rostova T D, Zakharov V V, et al. Scientific principles of making an alloying addition of scandium to aluminium alloys [J]. Mater. Sci. Eng., 2000, A280: 30
[23] Hua Q, Wang W J, Li R D, et al. Microstructures and mechanical properties of Al-Mg-Sc-Zr alloy additively manufactured by laser direct energy deposition [J]. Chin. J. Mech. Eng.: Addit. Manuf. Front., 2022, 1: 100057
[24] Wang D, Feng Y W, Liu L Q, et al. Influence mechanism of process parameters on relative density, microstructure, and mechanical properties of low Sc-content Al-Mg-Sc-Zr alloy fabricated by selective laser melting [J]. Chin. J. Mech. Eng.: Addit. Manuf. Front., 2022, 1: 100034
[25] Shen X F, Cheng Z Y, Wang C G, et al. Effect of heat treatments on the microstructure and mechanical properties of Al-Mg-Sc-Zr alloy fabricated by selective laser melting [J]. Opt. Laser. Technol., 2021, 143: 107312
[26] Nikam P P, Arun D, Ramkumar K D, et al. Microstructure characterization and tensile properties of CMT-based wire plus arc additive manufactured ER2594 [J]. Mater. Charact., 2020, 169: 110671
[27] Kopf T, Glück T, Gruber D, et al. Process modeling and control for additive manufacturing of Ti-6Al-4V using plasma arc welding-methodology and experimental validation [J]. J. Manuf. Process., 2024, 126: 12
[28] Çam G. Prospects of producing aluminum parts by wire arc additive manufacturing (WAAM) [J]. Mater. Today: Proceed., 2022, 62: 77
[29] Lv F Y, Wang L L, Gao Z N, et al. Influence mechanism of arc characteristics on droplet transfer behavior in CMT-based additive manufacturing [J]. J. Mech. Eng., 2023, 59: 267
[29] 吕飞阅, 王磊磊, 高转妮 等. CMT电弧增材制造过程电弧特性对熔滴过渡行为的影响机理研究 [J]. 机械工程学报, 2023, 59: 267
[30] Norman A F, Prangnell P B, Mcewen R S. The solidification behaviour of dilute aluminium-scandium alloys [J]. Acta Mater., 1998, 46: 5715
[31] Deng Y, Yin Z M, Zhao K, et al. Effects of Sc and Zr microalloying additions on the microstructure and mechanical properties of new Al-Zn-Mg alloys [J]. J. Alloy. Compd., 2012, 530: 71
[32] Huang X, Pan Q L, Li B, et al. Effect of minor Sc on microstructure and mechanical properties of Al-Zn-Mg-Zr alloy metal-inert gas welds [J]. J. Alloy. Compd., 2015, 629: 197
[33] Dev S, Stuart A A, Kumaar R C R D, et al. Effect of scandium additions on microstructure and mechanical properties of Al-Zn-Mg alloy welds [J]. Mater. Sci. Eng., 2007, A467: 132
[34] Argade G R, Kumar N, Mishra R S. Stress corrosion cracking susceptibility of ultrafine grained Al-Mg-Sc alloy [J]. Mater. Sci. Eng., 2013, A565: 80
[35] Filatov Y A, Yelagin V I, Zakharov V V. New Al-Mg-Sc alloys [J]. Mater. Sci. Eng., 2000, A280: 97
[36] Ryen Ø, Holmedal B, Nijs O, et al. Strengthening mechanisms in solid solution aluminum alloys [J]. Metall. Mater. Trans., 2006, 37A: 1999
[37] Li R D, Wang M B, Li Z M, et al. Developing a high-strength Al-Mg-Si-Sc-Zr alloy for selective laser melting: Crack-inhibiting and multiple strengthening mechanisms [J]. Acta Mater., 2020, 193: 83
[38] Shi Y J, Yang K, Kairy S K, et al. Effect of platform temperature on the porosity, microstructure and mechanical properties of an Al-Mg-Sc-Zr alloy fabricated by selective laser melting [J]. Mater. Sci. Eng., 2018, A732: 41
[39] Wang Z H, Lin X, Kang N, et al. Making selective-laser-melted high-strength Al-Mg-Sc-Zr alloy tough via ultrafine and heterogeneous microstructure [J]. Scr. Mater., 2021, 203: 114052
[40] Marquis E A, Seidman D N. Coarsening kinetics of nanoscale Al3Sc precipitates in an Al-Mg-Sc alloy [J]. Acta Mater., 2005, 53: 4259
[41] Schmidtke K, Palm F, Hawkins A, et al. Process and mechanical properties: Applicability of a scandium modified Al-alloy for laser additive manufacturing [J]. Phys. Proc., 2011, 12: 369
[42] Harada Y, Dunand D C. Microstructure of Al3Sc with ternary transition-metal additions [J]. Mater. Sci. Eng., 2002, A329-331: 686
[43] Hou X R, Zhao L, Ren S B, et al. Study on the effects of alloying elements on porosity in Al-Mg-Sc-Zr alloy fabricated by wire arc directed energy deposition [J]. Addit. Manuf., 2024, 88: 104260
[44] Anyalebechi P N. Hydrogen-induced gas porosity formation in Al-4.5 wt% Cu-1.4 wt% Mg alloy [J]. J. Mater. Sci., 2013, 48: 5342
[45] Da Silva C L M, Scotti A. The influence of double pulse on porosity formation in aluminum GMAW [J]. J. Mater. Process. Technol., 2006, 171: 366
[46] Trometer N, Chen B W, Moodispaw M, et al. Modeling and validation of hydrogen porosity formation in aluminum laser welding [J]. J. Manuf. Process., 2024, 124: 877
[47] Wang Z N, Lu X F, Lin X, et al. Porosity control and properties improvement of Al-Cu alloys via solidification condition optimisation in wire and arc additive manufacturing [J]. Virtual Phys. Prototy., 2024, 19: e2414408
[48] Ren S M, Cong F G, Wang J G, et al. Comparative study of additive manufacturing thin-walled component with Al-Mg-Sc-Zr alloy using different arc modes [J]. J. Mater. Res. Technol., 2025, 35: 5665
[49] Li K, Fang X W, Yang J N, et al. Wire-arc directed energy deposition of high performance heat treatment free Al-6Mg-0.3Sc alloy [J]. J. Manuf. Process., 2024, 125: 589
[50] Derekar K S, Addison A, Joshi S S, et al. Effect of pulsed metal inert gas (pulsed-MIG) and cold metal transfer (CMT) techniques on hydrogen dissolution in wire arc additive manufacturing (WAAM) of aluminium [J]. Inter. J. Adv. Manuf. Technol., 2020, 107: 311
[51] Hou X R, Zhao L, Ren S B, et al. Synergistically improving the strength and anisotropy of wire arc additively manufactured Al-Mg-Sc-Zr alloy by regulating heat input [J]. Addit. Manuf. Front., 2025, 4: 200215
[52] Yan H T, Xiao G. Study on hydrogen in aluminum melt [J]. Alum. Fabri., 2006: 9
[52] 闫红涛, 肖 刚. 铝熔体中的氢的研究 [J]. 铝加工, 2006: 9
[53] Xu H F, Yang L J, Huang Y M, et al. Study on the microstructure and properties of additive manufacturing Al-Mg-Sc alloy with CMT-PADV + arc weaving process [J/OL]. J. Mater. Eng. Perform., (2025-07-07).
[54] Cui Y P, Guo X P, Xu R Z, et al. Enhanced strength and ductility in wire-arc directed energy deposited Al-Mg-Sc alloy assisted by interlayer friction stir processing [J]. Mater. Sci. Eng., 2025, A944: 148856
[55] He C S, Wei J X, Li Y, et al. Improvement of microstructure and fatigue performance of wire-arc additive manufactured 4043 aluminum alloy assisted by interlayer friction stir processing [J]. J. Mater. Sci. Technol., 2023, 133: 183
[56] Qie M F, Wei J X, He C S. Microstructure evolution and mechanical properties of wire-arc additive manufactured Al-Zn-Mg-Cu alloy assisted by interlayer friction stir processing [J]. J. Mater. Res. Technol., 2023, 24: 2891
[57] Wei J X, He C S, Zhao Y, et al. Evolution of microstructure and properties in 2219 aluminum alloy produced by wire arc additive manufacturing assisted by interlayer friction stir processing [J]. Mater. Sci. Eng., 2023, A868: 144794
[58] Wang Z B, Li B C, Chen X, et al. Comparative study on microstructure and mechanical properties of Ti and Zr micro-alloyed AlMgSc alloy deposits fabricated via wire-arc directed energy deposition [J]. J. Alloys Compd., 2025, 1034: 181420
[59] Ren L L, Gu H M, Wang W, et al. Effect of Sc content on the microstructure and properties of Al-Mg-Sc alloys deposited by wire arc additive manufacturing [J]. Met. Mater. Int., 2020, 27: 68
[60] Gao C Y, Xie H, Huang H F, et al. Effect of trace Sc addition on microstructure, mechanical and stress corrosion cracking properties of Al-Mg alloys fabricated by Wire Arc Additive Manufacturing (WAAM) [J]. J. Alloys Compd., 2025, 1021: 179575
[61] Zhou Y B, Qi Z W, Cong B Q, et al. Influence of in-situ precipitation on corrosion behaviors of wire arc directed energy deposited Al-Mg(-Sc-Zr) [J]. J. Mater. Sci. Technol. 2025, 228: 172
[62] Cui Y P, Guo X P, Xue P, et al. A composite structure of Al-Mg-Sc alloy prepared by wire arc‑directed energy deposition with interlayer friction stir processing [J]. Acta Metall. Sin. (Eng. Lett.), 2025, 38: 1794
[63] Zhou Y B, Qi Z W, Cong B Q, et al. Sc/Zr microalloying on strength-corrosion performance synergy of wire-arc directed energy deposited Al-Mg [J]. Virtual Phys. Prototy., 2024, 19: e2358981
[64] Cui J Y, Guo X P, Hao S, et al. Achieving high strength-ductility properties of wire-arc additive manufactured Al-Mg-Sc aluminum alloy via friction stir processing post-treatment and high temperature aging treatment [J]. Mater. Lett., 2023, 350: 134913
[65] Kang H S, Lee J Y, Choi S, et al. Smart manufacturing: Past research, present findings, and future directions [J]. Int. J. Precis. Eng. Manuf.-Green Technol., 2016, 3: 111
[66] Chigilipalli B K, Veeramani A. A machine learning approach for the prediction of tensile deformation behavior in wire arc additive manufacturing [J]. Int. J. Interact. Des. Manuf., 2025, 19: 185
[67] Hinton G E, Osindero S, Teh Y W. A fast learning algorithm for deep belief nets [J]. Neural Comput., 2006, 18: 1527
[68] Yang Q, Gu Y D, Wu D S. Survey of incremental learning [A]. Proceedings of the 2019 Chinese Control and Decision Conference (CCDC) [C]. Nanchang: IEEE, 2019: 399
[69] Wang H, Gao S L, Wang B T, et al. Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review [J]. J. Mater. Sci. Technol., 2024, 198: 111
[70] Li Y Z, Sun Y F, Han Q L, et al. Enhanced beads overlapping model for wire and arc additive manufacturing of multi-layer multi-bead metallic parts [J]. J. Mater. Process. Technol., 2018, 252: 838
[71] Ding D H, Yuan L, Huang R, et al. Corner path optimization strategy for wire arc additive manufacturing of gap-free shapes [J]. J. Manuf. Process., 2023, 85: 683
[72] Nguyen L, Buhl J, Bambach M. Continuous Eulerian tool path strategies for wire-arc additive manufacturing of rib-web structures with machine-learning-based adaptive void filling [J]. Addit. Manuf., 2020, 35: 101265
[73] Barrionuevo G O, Sequeira-Almeida P M, Ríos S, et al. A machine learning approach for the prediction of melting efficiency in wire arc additive manufacturing [J]. Int. J. Adv. Manuf. Technol., 2022, 120: 3123
[74] Wu Q, Mukherjee T, De A, et al. Residual stresses in wire-arc additive manufacturing—Hierarchy of influential variables [J]. Addit. Manuf., 2020, 35: 101355
[75] Farias F W C, Payao J D C P, Oliveira V H P M E. Prediction of the interpass temperature of a wire arc additive manufactured wall: FEM simulations and artificial neural network [J]. Addit. Manuf., 2021, 48: 102387
[76] Le V T, Nguyen H D, Bui M C, et al. Rapid and accurate prediction of temperature evolution in wire plus arc additive manufacturing using feedforward neural network [J]. Manuf. Lett., 2022, 32: 28
[77] Li Y X, Polden J, Pan Z X, et al. A defect detection system for wire arc additive manufacturing using incremental learning [J]. J. Ind. Inf. Integr., 2022, 27: 100291
[78] Liu Y, Liu Z Z, Zhou G S, et al. Microstructures and properties of Al-Mg alloys manufactured by WAAM-CMT [J]. Materials, 2022, 15: 5460
[79] Fan S L, Yang F, Zhu X N, et al. Numerical analysis on the effect of process parameters on deposition geometry in wire arc additive manufacturing [J]. Plasma Sci. Technol., 2022, 24: 044001
[80] Oh W J, Lee C M, Kim D H. Prediction of deposition bead geometry in wire arc additive manufacturing using machine learning [J]. J. Mater. Res. Technol., 2022, 20: 4283
[81] Yun P W, Fu H D, Zhang H T, et al. Rapid design of high-end copper alloy processes combining orthogonal experiments, machine learning, and Pareto analysis [J]. J. Mater. Res. Technol., 2025, 36: 1005
[82] Zhao S, Li J S, Wang J, et al. Closed-loop inverse design of high entropy alloys using symbolic regression-oriented optimization [J]. Mater. Today, 2025, 88: 263
[83] Su J L, Chen L Q, Van Petegem S, et al. Additive manufacturing metallurgy guided machine learning design of versatile alloys [J]. Mater. Today, 2025, 88: 240
[1] 黄科, 李新志, 方学伟, 卢秉恒. 镁合金电弧熔丝增材制造技术研究现状与展望[J]. 金属学报, 2025, 61(3): 397-419.
[2] 刘壮壮, 丁明路, 谢建新. 金属3D打印数字化制造研究进展[J]. 金属学报, 2024, 60(5): 569-584.
[3] 黎康杰, 孙泽羽, 何蓓, 田象军. 基于熔池原位冶金的电弧增材制造Al-Cu-Li合金显微组织与硬度[J]. 金属学报, 2024, 60(5): 661-669.
[4] 文通其, 刘怀忆, 龚小国, 叶贝琳, 刘思宇, 李卓远. 深度势能方法在材料科学中的应用[J]. 金属学报, 2024, 60(10): 1299-1311.
[5] 刘仕, 黄佳玮, 武静. 机器学习势在铁电材料研究中的应用[J]. 金属学报, 2024, 60(10): 1312-1328.
[6] 陈名毅, 胡俊伟, 余耀辰, 牛海洋. 机器学习分子动力学辅助材料凝固形核研究进展[J]. 金属学报, 2024, 60(10): 1329-1344.
[7] 王冠杰, 刘盛咸, 周健, 孙志梅. 材料研究中的可解释机器学习[J]. 金属学报, 2024, 60(10): 1345-1361.
[8] 沈雪阳, 褚瑞轩, 蒋宜辉, 张伟. 相变存储器材料设计与多尺度模拟的研究进展[J]. 金属学报, 2024, 60(10): 1362-1378.
[9] 李志尚, 赵龙, 宗洪祥, 丁向东. 机器学习型分子力场在金属材料相变与变形领域的研究进展[J]. 金属学报, 2024, 60(10): 1388-1404.
[10] 赵晋彬, 王建韬, 何东昌, 李俊林, 孙岩, 陈星秋, 刘培涛. 氢化物超导体临界转变温度的机器学习模型[J]. 金属学报, 2024, 60(10): 1418-1428.
[11] 王磊, 刘梦雅, 刘杨, 宋秀, 孟凡强. 镍基高温合金表面冲击强化机制及应用研究进展[J]. 金属学报, 2023, 59(9): 1173-1189.
[12] 穆亚航, 张雪, 陈梓名, 孙晓峰, 梁静静, 李金国, 周亦胄. 基于热力学计算与机器学习的增材制造镍基高温合金裂纹敏感性预测模型[J]. 金属学报, 2023, 59(8): 1075-1086.
[13] 吴东江, 刘德华, 张子傲, 张逸伦, 牛方勇, 马广义. 电弧增材制造2024铝合金的微观组织与力学性能[J]. 金属学报, 2023, 59(6): 767-776.
[14] 冀秀梅, 侯美伶, 王龙, 刘玠, 高克伟. 基于机器学习的中厚板变形抗力模型建模与应用[J]. 金属学报, 2023, 59(3): 435-446.
[15] 唐伟能, 莫宁, 侯娟. 增材制造镁合金技术现状与研究进展[J]. 金属学报, 2023, 59(2): 205-225.