Advanced Search
ZHU Jie, ZHOU Qingjun, CHEN Xiaohui, FENG Kai, LI Zhuguo. Influence of layer thickness on the microstructure and mechanical properties of selective laser melting processed GH3625[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2023, 44(10): 12-17. DOI: 10.12073/j.hjxb.20230306002
Citation: ZHU Jie, ZHOU Qingjun, CHEN Xiaohui, FENG Kai, LI Zhuguo. Influence of layer thickness on the microstructure and mechanical properties of selective laser melting processed GH3625[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2023, 44(10): 12-17. DOI: 10.12073/j.hjxb.20230306002

Influence of layer thickness on the microstructure and mechanical properties of selective laser melting processed GH3625

More Information
  • Received Date: March 05, 2023
  • Available Online: September 27, 2023
  • To investigate the influence of layer thickness on the microstructure and mechanical properties of laser powder bed fusion processed GH3625, specimens were prepared with different layer thickness while other parameters remained unchanged before they were studied in aspect of microstructure and tensile properties. It is shown that the density of specimens has not been influenced by layer thickness under a wide range of processing parameters. Besides, with optimized processing parameters, specimens with a density over 99.9% can be fabricated by 0.02 mm and 0.03 mm layer thickness at the same time. The increase of the layer thickness will lead to the change of molten pool morphology, and also significantly change the grain morphology. When the thickness of powder bed was 0.02 mm, the average grain size was about 18.128 μm, and the grain had obvious preferential orientation. At this time, the adjacent molten pools differ greatly in shape, showed the phenomenon that one secondary was deeper and wider, and the other secondary was shallow and narrow. When the layer thickness increased to 0.03 mm, the temperature gradient difference decreased, the morphology difference of adjacent molten pools was small, the elongated grains in the microstructure decreased, the average grain size decreased to 11.921 μm, and the preferred orientation of grains also weakened. Due to changes in grain structure and grain size, the yield strength was increased by about 5% in the 0.03 mm specimen than that of the 0.02 mm specimen in vertical direction, contributing to less anisotropy in mechanical property.
  • Zhang C, Feng K, Kokawa H, et al. Correlation between microstructural heterogeneity and anisotropy of mechanical properties of laser powder bed fused CoCrFeMnNi high entropy alloy[J]. Materials Science & Engineering A, 2022, 855: 143920.
    Zhang C, Feng K, Kokawa H, et al. On the origin and evolution of cellular structures in CoCrFeMnNi high entropy alloy fabricated by laser powder bed fusion[J]. Materials Characterization, 2023, 196: 112586. doi: 10.1016/j.matchar.2022.112586
    Cieslak M, Headley T, Romig A, et al. A melting and solidification study of alloy 625[J]. Metallurgical Transactions A, 1988, 19(9): 2319 − 2331. doi: 10.1007/BF02645056
    Floreen S, Fuchs G E, Yang W J. The metallurgy of alloy 625[J]. Superalloys, 1994, 718(625): 13 − 37.
    吴树雄, 尹士科, 路勇超. 镍基耐蚀合金及其焊接特性概述[J]. 焊接技术, 2019(7): 1 − 6. doi: 10.13846/j.cnki.cn12-1070/tg.2019.07.001

    Wu Shuxiong, Yin Shike, Lu Yongchao. Nickel-based corrosion-resistant alloy and its welding characteristics[J]. Welding Technology, 2019(7): 1 − 6. doi: 10.13846/j.cnki.cn12-1070/tg.2019.07.001
    Zhu J, Shao C, Lu F, et al. Origin of the anisotropic ductility and the dynamic recrystallization-like deformation behavior of laser powder bed fusion Inconel 625 at elevated temperature[J]. Scripta Materialia, 2022, 221: 114945. doi: 10.1016/j.scriptamat.2022.114945
    Zhang F, Levine L E, Allen A J, et al. Effect of heat treatment on the microstructural evolution of a nickel-based superalloy additive-manufactured by laser powder bed fusion[J]. Acta Materialia, 2018, 152: 200 − 214. doi: 10.1016/j.actamat.2018.03.017
    Keller T, Lindwall G, Ghosh S, et al. Application of finite element, phase-field, and CALPHAD-based methods to additive manufacturing of Ni-based superalloys[J]. Acta Materialia, 2017, 139: 244 − 253. doi: 10.1016/j.actamat.2017.05.003
    张宇, 姜云, 胡晓安. 选区激光熔化成形Inconel 625合金的激光焊接头组织及高温蠕变性能[J]. 焊接学报, 2020, 41(5): 78 − 84.

    Zhang Yu, Jiang Yun, Hu Xiaoan. Microstructure and high temperature creep properties of Inconel 625 alloy by selective laser melting[J]. Transactions of the China Welding Institution, 2020, 41(5): 78 − 84.
    Mishurova T, Artzt K, Haubrich J, et al. New aspects about the search for the most relevant parameters optimizing SLM materials[J]. Additive Manufacturing, 2019, 25: 325 − 334. doi: 10.1016/j.addma.2018.11.023
    Arisoy Y M, Criales L E, Ozel T, et al. Influence of scan strategy and process parameters on microstructure and its optimization in additively manufactured nickel alloy 625 via laser powder bed fusion[J]. The International Journal of Advanced Manufacturing Technology, 2017, 90(5-8): 1393 − 1417. doi: 10.1007/s00170-016-9429-z
    Brown C U, Jacob G, Stoudt M, et al. Interlaboratory study for nickel alloy 625 made by laser powder bed fusion to quantify mechanical property variability[J]. Journal of Materials Engineering and Performance, 2016, 25(8): 3390 − 3397. doi: 10.1007/s11665-016-2169-2
    Criales L E, Arisoy Y M, Lane B, et al. Laser powder bed fusion of nickel alloy 625: Experimental investigations of effects of process parameters on melt pool size and shape with spatter analysis[J]. International Journal of Machine Tools & Manufacture, 2017, 121: 22 − 36.
    Liu J W, Song Y A, Chen C Y, et al. Effect of scanning speed on the microstructure and mechanical behavior of 316L stainless steel fabricated by selective laser melting[J]. Materials & Design, 2020, 186: 108355. doi: 10.1016/j.matdes.2019.108355
    Pauza J, Rollett A. Simulation study of hatch spacing and layer thickness effects on microstructure in laser powder bed fusion additive manufacturing using a texture-aware solidification potts model[J]. Journal of Materials Engineering and Performance, 2021, 30(9): 7007 − 7018. doi: 10.1007/s11665-021-06110-7
    Wan H Y, Zhou Z J, Li C P, et al. Effect of scanning strategy on grain structure and crystallographic texture of Inconel 718 processed by selective laser melting[J]. Journal of Materials Science & Technology, 2018, 34(10): 1799 − 1804.
    Zhou Y H, Zhang Z H, Wang Y P, et al. Selective laser melting of typical metallic materials: An effective process prediction model developed by energy absorption and consumption analysis[J]. Additive Manufacturing, 2019, 25: 204 − 217. doi: 10.1016/j.addma.2018.10.046
  • Related Articles

    [1]CHEN Haiyong, DU Xiaolin, DONG Yan. Tiny visual feature extraction of random changing weld[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(5): 97-101.
    [2]CHI Dazhao, MAI Chengle, SUN Changli, GANG Tie. Wavelet package based ultrasonic defect detection method for testing austenitic stainless steel weldment[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(12): 43-46.
    [3]ZHAO Huihuang, ZHOU Dejian, WU Zhaohua, LI Chunquan, LI Kangman. SMT soldering image denoising based on wavelet packet transform and adaptive threshold[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (11): 73-76.
    [4]LIU Lijun, LAN Hu, WEN Jianli, YU Zhongwei. Feature extraction of penetration arc sound in MIG welding via wavelet packet frequency-band energy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2010, (1): 45-49.
    [5]WEN Jianli, LIU Lijun, LAN Hu. Penetration state recognition of MIG welding based on genetic wavelet neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (8): 41-44.
    [6]DI Xinjie, LI Wushen, BAI Shiwu, LIU Fangming. Metal magnetic memory signal recognition by neural network for welding crack[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (3): 13-16.
    [7]LI Hexi, WANG Guorong, SHI Yonghua, ZHANG Weimin. Automatic recognition of welding targets based on normalized singular value decomposition of image matrix[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (2): 35-39.
    [8]TIAN Songya, WU Dongchun, SUN Ye, FU Weiliang. Wavelet detection of short circuit signal in CO2 arc welding based on DSP[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (7): 65-68.
    [9]YANG Lijun, XU Licheng, ZHANG Xiaonan, LI Junyue. Wavelet filtering of electric signals in short circuit CO2 welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (8): 31-34,38.
    [10]QU Wen-tai, ZHU jing. Research on Technology of Detecting Welding Seam Based on Gauss Wavelet[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2002, (4): 64-68.
  • Cited by

    Periodical cited type(10)

    1. 赵昀,梁乐,孙宏伟,陈卫彬,张本顺. 层间冷却对电弧增材制造钛合金构件性能的影响. 焊接. 2024(02): 26-30 .
    2. 玄明昊,吴斌,邢本东,于京令. 基于TA15电弧熔丝制件的激光沉积连接力学性能研究. 飞机设计. 2024(03): 13-18 .
    3. 杨培智,张钧,杨海欧. TC4钛合金混合制造技术的研究与进展. 铸造技术. 2023(11): 977-987 .
    4. 滕树满. 电弧熔丝增材制造研究进展(续完). 有色金属加工. 2022(02): 9-15+43 .
    5. 夏玉峰,滕海灏,张雪,郑德宇,权国政. Ti-6Al-4V合金电弧熔丝增材的组织性能研究进展. 重庆大学学报. 2022(04): 87-99 .
    6. 孔斌,杜心伟,海沁雨,陈纪城,刘仁培,魏艳红. Ti6Al4V薄板脉冲激光拼焊焊缝成形及力学性能. 焊接. 2022(09): 10-16 .
    7. 董万鹏,高华兵,果春焕,董涛,杨振林,李海新,姜风春. 增材制造工艺及热处理对Ti-6Al-4V合金组织和性能的影响. 航空材料学报. 2022(06): 22-32 .
    8. 孔斌,杜心伟,海沁雨,陈纪城,刘仁培,魏艳红. Ti6Al4V薄板脉冲激光拼焊的焊缝成形及力学性能. 机械制造文摘(焊接分册). 2022(05): 1-7 .
    9. 刘云鸾,敖三三,罗震,相茜. 焊接与智能制造(下)——第25届北京·埃森焊接与切割展览会焊接国际论坛综述. 焊接技术. 2021(08): 1-3 .
    10. 权国政,杨焜,盛雪,余炎泽. 电弧熔丝增材制造残余应力控制方法综述. 塑性工程学报. 2021(11): 1-10 .

    Other cited types(2)

Catalog

    Article views (221) PDF downloads (74) Cited by(12)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return