METALS AND METAL MATRIX COMPOSITES |
|
|
|
|
|
Research Status and Prospect of Aluminum Alloy Manufactured by Selective Laser Melting |
HUANG Jianguo, REN Shubin
|
Institute for Advanced Materials and Technology, University of Science & Technology Beijing, Beijing 100083, China |
|
|
Abstract With the increasing demand for lightweighting in aerospace and automobiles, the integration of structurally optimized complex metal components with additive manufacturing technology is bound to be the future development trend of the high-end product manufacturing industry. The excellent comprehensive performance of aluminum alloy and the far lower price than titanium alloy make it have great application and research potential in additive manufacturing. There are many methods of metal additive manufacturing. Selective laser melting (SLM) has attracted the attention of scientific research and industry because of its excellent surface quality and comprehensive performance, which has significant advantages in the forming of parts with complex structures and thin-walled structure integration. However, due to the characteristics of high laser reflectivity, high thermal conductivity, poor fluidity and easy reaction with oxygen,the molded parts are prone to metallurgical defects such as balling, cracks, pores and oxidation inclusions, which cannot meet the performance requirements in practical applications. AlSi10Mg, Al-12Si and other cast aluminum alloys studied deeply can not meet the strength in many fields. High-strength alloys are extremely prone to undesirable phenomena such as element burning and cracking during SLM forming. Therefore, it has become the research focus to develop a series of new aluminum alloy powders and clarify the formation mechanism of various defects to reduce the generation of defects during the SLM process. In this paper, the researchstatus of aluminum alloy by SLM in recent years has been introduced from three aspects: Al-Si casting alloy, high strength aluminum alloy,and aluminum matrix composite. In view of the dilemma of aluminum alloys formed by SLM, such as the parameters of process conditions are immature, the metallurgical defects are difficult to control, and the quantitative research between part performance and microstructure is not systematic. The author proposes that the concept of material genetic engineering (MGE) can be introduced and combined with artificial intelligence technology to seek a quantitative relationship between composition-microstructure-process-performance. It is helpful to develop a new type of aluminum alloy powder suitable for SLM characteristics, and achieve the purpose of reverse design of material composition and process from the application requirements.
|
Published: 10 December 2021
Online: 2021-12-23
|
|
Fund:National Natural Science Foundation of China (51874038), Key-area Research and Development Program of Guangdong Province (2019B010942001) |
Corresponding Authors:
sbren@ustb.edu.cn
|
About author: Jianguo Huang received his B.E. degree in material processing from Jiangxi University of Science and Technology in 2019. He is currently pursuing a master's degree at the Institute for Advanced Materials and Technology, University of Science & Technology Beijing under the supervision of Prof. Shubin Ren. His research has focused on metal 3D printing and metal matrix composite materials. Shubin Ren received his B.E. degree in materials from University of Science & Technology Beijing in 2002 and received his Ph.D. degree in 2007. He is now a professor and doctoral supervisor of the Institute for Advanced Materials and Technology, University of Science & Technology Beijing. His research interests are metal matrix composite materials, metal 3D printing, powder metallurgy porous materials, and special alloy materials for steam turbines. |
|
|
1 Zhang X J, Tang S Y, Zhao H Y, et al. Journal of Materials Enginee-ring, 2016, 44(2), 122 (in Chinese). 张学军, 唐思熠, 肇恒跃,等. 材料工程, 2016, 44(2), 122. 2 Yang Y Q, Wang D. 3D printing technology for selective laser melting, Huazhong University of Science and Technology Press, 2019(in Chinese). 杨永强, 王迪. 激光选区熔化3D打印技术, 华中科技大学出版社, 2019. 3 Kaufmann N, Imran M, Wischeropp T M, et al. Physics Procedia, 2016, 83, 918. 4 Zhang H, Zhu H H, Qi T, et al. Materials Science & Engineering A, 2016, 656, 47. 5 Croteau J R, Griffiths S, Rossell M D,et al. Acta Materialia, 2018, 153, 35. 6 Zhou X. Research on micro-scale melt pool characteristics and solidified microstructures in selective laser melting. Ph.D. Thesis, Tsinghua University, China, 2016 (in Chinese). 周鑫. 激光选区熔化微尺度熔池特性与凝固微观组织. 博士学位论文, 清华大学, 2016. 7 Pei W, Wei Z Y, Chen Z, et al. Applied Surface Science, 2017, 408, 38. 8 Wang W, Liu B Y, Li C F, et al. Rare Metal Materials and Engineering, 2019, 48(1), 279 (in Chinese). 王维, 柳宝元, 李长富, 等. 稀有金属材料工程, 2019, 48(1), 279. 9 Galy C, Le Guen E, Lacoste E, et al. Additive Manufacturing, 2018, 22, 165. 10 Bertoli U S, Wolfer A J, Matthews M J,et al. Materials & Design, 2017, 113, 331. 11 Sing S L, An J, Yeong W Y, et al. Journal of Orthopaedic Research, 2016, 34(3), 369. 12 Aboulkhair N T, Everitt N M, Ashcroft I, et al. Additive Manufacturing, 2014, 1-4, 77. 13 Gu D D, Dai D H, Xia M J, et al. Journal of Nanjing University of Aeronautics & Astronautics, 2017, 49(5), 645 (in Chinese). 顾冬冬, 戴冬华, 夏木建, 等. 南京航空航天大学学报, 2017, 49(5), 645. 14 Zhang J L, Song B, Wei Q S, et al. Journal of Materials Science & Technology, 2019, 35, 270. 15 Louvis E, Fox P, Sutcliffe C J. Journal of Materials Processing Technology, 2011, 211, 275. 16 Deng D, Murakawa H. Computational Materials Science, 2006, 37(3), 269. 17 Kim D K, Hwang J H, Kim E Y, et al. Journal of Alloys & Compounds, 2017, 714, 687. 18 Read N, Wang W, Essa K, et al. Materials & Design, 2015, 65, 417. 19 Fousova M, Dvorsky D, Michalcova A, et al. Materials Characterization, 2018, 137, 119. 20 Aboulkhair N T, Maskery I, Tuck C, et al. Materials Science & Enginee-ring A, 2016, 667, 139. 21 Kempen K, Thijs L, Van Humbeeck J, et al. Materials Science & Technology, 2015, 31, 917. 22 Li W, Li S, Liu J, et al. Materials Science & Engineering A, 2016, 663, 116. 23 Wang L F, Jiang X H, Guo M X, et al. Materials Science & Technology, 2017, 33(18), 2274. 24 Uzan N E, Shneck R, Yeheskel O, et al. Materials Science & Engineering A, 2017, 704, 229. 25 Martin J H, Yahata B D, Hundley J M, et al. Nature, 2017, 549(7672), 365. 26 Thijs L, Kempen K, Kruth J P, et al. Acta Materialia, 2013, 61, 1809. 27 Trevisan F, Calignano F, Lorusso M, et al. Materials, 2017, 10(1), 76. 28 Liu X H, Zhao C C, Zhou X, et al. Materials & Design, 2019, 168, 107677. 29 Chen B, Moon S K, Yao X, et al. Scripta Materialia, 2017, 147, 45. 30 Asgari H, Baxter C, Hosseinkhani K, et al. Materials Science & Engineering A, 2017, 707, 148. 31 Delroisse P, Jacques P J, Maire E, et al. Scripta Materialia, 2017, 141, 32. 32 Aboulkhair N T, Maskery I, Tuck C, et al. Journal of Materials Proce-ssing Technology, 2016, 230, 88. 33 Brandl E, Heckenberger U, Holzinger V, et al. Materials & Design, 2012, 34, 159. 34 Yu K B, Liu Y Z, Yang C Y. Materials Science and Engineering of Powder Metallurgy, 2018, 23(3), 298 (in Chinese). 余开斌, 刘允中, 杨长毅. 粉末冶金材料科学与工程, 2018, 23(3), 298. 35 Prashanth K G, Scudino S, Klauss H J, et al. Materials Science & Engineering A, 2014, 590, 153. 36 Prashanth K G, Debalina B, Wang Z,et al. Journal of Materials Research, 2014, 29(17), 2044. 37 Yang Y, Chen Y, Zhang J X, et al. Materials & Design, 2018, 146, 239. 38 Wang X J, Zhang L C, Fang M H,et al. Materials Science & Engineering A, 2014, 597, 370. 39 Chou R, Milligan J, Paliwal M, et al. JOM, 2015, 67(3), 590. 40 Suryawanshi J, Prashanth K G, Scudino S, et al. Acta Materialia, 2016, 115, 285. 41 Ma P, Prashanth K G, Scudino S, et al. Metals, 2014, 4(1), 28. 42 Kimura T, Nakamoto T. Materials & Design, 2016, 89, 1294. 43 Fiocchi J, Biffi C A, Tuissi A. Materials & Design, 2020, 191, 108581. 44 Kimura T, Nakamoto T, Mizuno M, et al. Materials Science & Engineering A, 2017, 682, 593. 45 Zhu H H, Liao H L. Laser & Optoelectronics Progress, 2018, 55(1), 22 (in Chinese). 朱海红, 廖海龙. 激光与光电子学进展, 2018, 55(1), 22. 46 Zhang H, Nie X J, Zhu H H, et al. Chinese Journal of Lasers, 2016, 43(5), 84 (in Chinese). 张虎, 聂小佳, 朱海红, 等. 中国激光, 2016, 43(5), 84. 47 Qi T, Zhu H H, Zhang H, et al. Materials & Design, 2017, 135, 257. 48 Sistiaga M L M, Mertens R, Vrancken B, et al. Journal of Materials Processing Technology, 2016, 238, 437. 49 Otani Y, Sasaki S. Materials Science & Engineering A, 2020, 777, 139079. 50 Li R D, Wang M B, Li Z M, et al. Acta Materialia, 2020, 193, 83. 51 Zhang H, Zhu H H, Nie X J, et al. Scripta Materialia, 2017, 134, 6. 52 Tu C, Liu Y Z, Hu L, et al. Materials Science and Engineering of Powder Metallurgy, 2019, 24(4), 349 (in Chinese). 涂诚, 刘允中, 胡亮, 等. 粉末冶金材料科学与工程, 2019, 24(4), 349. 53 Zhou Y, Zhang D Y, Wang W D, et al. Aeronautical Manufacturing Technology, 2018, 61(10), 68 (in Chinese). 周岩, 张冬云, 王卫东, 等. 航空制造技术, 2018, 61(10), 68. 54 Dadbakhsh S, Hao L. Advanced Engineering Materials, 2011, 14(1-2), 45. 55 Dadbakhsh S, Hao L, Jerrard P G E, et al. Powder Technology, 2012, 231, 112. 56 Han Q Q, Setchi R, Lacan F. Materials Science & Engineering A, 2017, 698, 162. 57 Han Q Q, Geng Y Q, Setchi R, et al. Composites Part B, 2017, 127, 26. 58 Astfalck L C, Kelly G K, Li X, et al. Advanced Engineering Materials, 2017, 19(8), 1600835. 59 Wang H Q. Al based nanocomposites prepared by mechanical alloying and selective laser melting fabrication. Master's Thesis, Nanjing University of Aeronautics & Astronautics, China, 2015 (in Chinese). 王泓乔. Al基纳米复合材料机械合金化制备及选区激光熔化成形研究. 硕士学位论文,南京航空航天大学, 2015. 60 Chang F, Gu D D, Dai D, et al. Surface & Coatings Technology, 2015, 272, 15. 61 Gu D D, Rao X W, Dai D H, et al. Additive Manufacturing, 2019, 29, 100801. 62 Hu L, Liu Y Z, Tu C, et al. Materials Science and Engineering of Powder Metallurgy, 2019, 24(4), 365 (in Chinese). 胡亮, 刘允中, 涂诚, 等. 粉末冶金材料科学与工程, 2019, 24(4), 365. 63 Li X P, Ji G, Chen Z, et al. Acta Materialia, 2017, 129, 183. 64 Gao C, Wu W, Shi J, et al. Additive Manufacturing, 2020, 34, 101378. 65 Allison J, Li M, Wolverton C, et al. JOM, 2006, 58(11), 28. 66 Aboulkhair N T, Simonelli M, Parry L, et al. Progress in Materials Science, 2019, 106, 100578. 67 Wang C S, Fu H D, Jiang L, et al. Npj Computational Materials, 2019, 5, 87. 68 Liu Q, Wu H, Paul M J, et al. Acta Materialia, 2020, 201, 316. |
|
|
|