Optimization of key technology of Inconel 718 alloy by laser additive repair

WANG Menglu; LI Zhanming; SUN Xiaofeng; SONG Wei; WANG Rui

doi:10.12073/j.hjxb.20230314001

TRANSACTIONS OF THE CHINA WELDING INSTITUTION > 2024 > 45(6): 30-38. > DOI: 10.12073/j.hjxb.20230314001

WANG Menglu, LI Zhanming, SUN Xiaofeng, SONG Wei, WANG Rui. Optimization of key technology of Inconel 718 alloy by laser additive repair[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2024, 45(6): 30-38. DOI: 10.12073/j.hjxb.20230314001

Citation:

PDF (3389 KB)

Optimization of key technology of Inconel 718 alloy by laser additive repair

1.
School of Materials Science and Engineering, Northeastern University, Shenyang, 110819, China
2.
National Engineering Research Center for Remanufacturing of Mechanical Products, Academy of Army Armored Forces, Beijing, 100072, China

More Information

Received Date: March 13, 2023
Available Online: March 27, 2024

Graphical Abstract

Abstract

Abstract

In order to further optimize the forming quality of the samples and prolong its service life, this paper explores the influence of process parameters on the forming quality and mechanical properties of Inconel 718 alloy repaired by laser cladding , and carries out the single track cladding experiment of Inconel 718 alloy by orthogonal design, observes the surface morphology of the single track cladding layers with different process parameters and measures its width and height. Through the extreme difference and ranking results, the influence law of process parameters on the geometry of single track cladding layers are analyzed, and the influence order of three main process parameters on the morphology of single track cladding layers are obtained, so as to obtain the optimal combination of process parameters. Then, the bulk Inconel 718 alloy samples without cracks, pores and other defects are successfully prepared by using the adjusted process parameters. The influence of laser power on the microstructure, hardness, tensile strength and elongation after fracture of the cladding bulk Inconel 718 alloy are studied, and the relationship between process parameters, microstructure and mechanical properties is constructed. The results show that laser power and powder feeding rate are the main factors affecting the cladding height and width respectively. When the laser power is 1600 W, the scanning speed is 12.5 mm/s, and the powder feeding rate is 8 g/min, due to the influence of temperature gradient and cooling rate, the microstructure of the cladding sample is compact, the grain size is fine, the dendrite spacing is appropriate, and The sample has excellent tensile strength and elongation after fracture.
- Inconel 718,
- laser additive repair,
- process optimization

FullText(HTML)

References (20)

References

[1]	Xu L M, Chai Z, Zhang X Q, et al. A new approach to improve strength and ductility of laser powder deposited Inconel 718 thin-wall structure[J]. Materials Science and Engineering A, 2022, 855: 143871.
[2]	Zhong C L, Kittel J, Gasser A, et al. Study of nickel-based super-alloys Inconel 718 and Inconel 625 in high-deposition-rate laser metal deposition[J]. Optics & Laser Technology, 2019, 109: 352 − 360.
[3]	Zhu L D, Xue P S, Lan Q, et al. Recent research and development status of laser cladding: a review[J]. Optics & Laser Technology, 2021, 138: 106915.
[4]	Yang Z Z, Hao H, Gao Q, et al. Strengthening mechanism and high-temperature properties of H13 + WC/Y₂O₃ laser-cladding coatings[J]. Surface & Coatings Technology, 2021, 405: 126544.
[5]	Lu C W, Wang H S, Chen H G, et al. Effects of heat treatment and Nd: YAG laser repair welding parameters on the microstructure and properties of a Cu–Ni–Si–Cr mold alloy[J]. Material Science and Engineering A, 2021, 799: 140342.
[6]	Shi Q M, Gu D D, Xia M J, et al. Effects of laser processing parameters on thermal behavior and melting/solidification mechanism during selective laser melting of TiC/Inconel 718 composites[J]. Optics & Laser Technology, 2016, 84: 9 − 22.
[7]	Shi Y, Li Y F, Liu J, et al. Investigation on the parameter optimization and performance of laser cladding a gradient composite coating by a mixed powder of Co50 and Ni/WC on 20CrMnTi low carbon alloy steel[J]. Optics & Laser Technology, 2018, 99: 256 − 270.
[8]	Zhou S F, Dai X G, Zeng X Y. Effects of processing parameters on structure of Ni-based WC composite coatings during laser induction hybrid rapid cladding[J]. Applied Surface Science, 2009, 255(20): 8494 − 8500. doi: 10.1016/j.apsusc.2009.05.161
[9]	Shi B W, Li T, Guo Z W, et al. Selecting process parameters of crack-free Ni60A alloy coating prepared by coaxial laser cladding[J]. Optics & Laser Technology, 2022, 149: 107805.
[10]	Moradi M, Pourmand Z, Hasani A, et al. Direct laser metal deposition (DLMD) additive manufacturing (AM) of Inconel 718 superalloy: elemental, microstructural and physical properties evaluation[J]. Optik, 2022, 259: 169018. doi: 10.1016/j.ijleo.2022.169018
[11]	Shayanfar P, Daneshmanesh H, Janghorban K. Parameters optimization for laser cladding of Inconel 625 on ASTM A592 steel[J]. Journal of Materials Research and Technology, 2020, 9(4): 8258 − 8265. doi: 10.1016/j.jmrt.2020.05.094
[12]	崔权维. 激光熔覆IN718镍基高温合金组织演变规律及性能调控研究[D]. 乌鲁木齐: 新疆大学, 2021. Cui Q W. Research on microstructure evolution andproperty control of laser cladding for Inconel 718 nickel-base superalloy[D]. Wulumuqi, Xinjiang Univirsity, 2021.
[13]	Guo J C, Han S X, Yang R N, et al. Influence of γ/γ′ morphology evolution on the mechanical properties of Ni-based single crystal superalloys formed by laser metal deposition[J]. Materials Science and Engineering A, 2022, 836: 142714.
[14]	Wang R, Chen C Y, Liu M Y, et al. Effects of laser scanning speed and building direction on the microstructure and mechanical properties of selective laser melted Inconel 718 superalloy[J]. Materials Today Communications, 2022, 30: 103095. doi: 10.1016/j.mtcomm.2021.103095
[15]	Jha A, Shukla S, Choudhary A, et al. A study on developing process-structure–property relationship with molten pool thermal history during laser surface remelting of Inconel 718[J]. Optics & Laser Technology, 2023, 157: 108732.
[16]	Xiao H, Liu X Y, Xiao W J, et al. Influence of molten-pool cooling rate on solidification structure and mechanical property of laser additive manufactured Inconel 718[J]. Journal of Materials Research and Technology, 2022, 19: 4404 − 4416. doi: 10.1016/j.jmrt.2022.06.162
[17]	Amato K N, Gaytan S M, Murr L E, et al. Microstructures and mechanical behavior of Inconel 718 fabricated by selective laser melting[J]. Acta Materialia, 2012, 60(5): 2229 − 2239. doi: 10.1016/j.actamat.2011.12.032
[18]	Qin L L, Zhao M J, Li Z W, et al. Role of precipitates-decorated Σ3 twin boundaries on hydrogen-induced crack initiation and propagation in Ni-based superalloy 718[J]. Corrosion Science, 2023, 218(6): 111189.
[19]	Huan P C, Wei X, Wang X N, et al. Comparative study on the microstructure, mechanical properties and fracture mechanism of wire arc additive manufactured Inconel 718 alloy under the assistance of alternating magnetic field[J]. Materials Science and Engineering A, 2022, 854: 143845.
[20]	Ni M, Chen C, Wang X J, et al. Anisotropic tensile behavior of in situ precipitation strengthened Inconel 718 fabricated by additive manufacturing[J]. Materials Science and Engineering A, 2017, 701: 344 − 351.

[1]	LE Jian, ZHANG Hua, ZHANG Qiqi, WU Jinhao. Overhead weld tracking by robots based on rotating arc sensor[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(9): 56-60.
[2]	YIN Ziqiang, ZHANG Guangjun, ZHAO Huihui, YUAN Xin, WU Lin. Design of human-machine interactive robotic arc welding remanufacturing system[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2013, (1): 69-72.
[3]	SHEN Junqi, HU Shengsun, FENG Shengqiang, GAO Zhonglin. Bead geometry prediction based on SVM[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2010, (2): 103-106.
[4]	ZHOU Lü, CHEN Shan-ben, LIN Tao, CHEN Wen-jie. Autonomous seam tracking based on local vision in arc robotic welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (1): 49-52.
[5]	YU Xiu-ping, SUN Hua, ZHAO Xi-ren, Alexandre Gavrilov. Weld width prediction based on artificial neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (5): 17-19,45.
[6]	CAO Hai-peng, ZHAO Xi-hua, ZHAO He. Intelligent process design of resistance spot welding of aluminum alloys[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (2): 21-24.
[7]	CAO Hai-peng, ZHAO Xi-hua, ZHAO Lei. An intelligent inference for resistance spot welding procedure parameters on CBR[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2003, (6): 1-3,14.
[8]	CHEN Jun-mei, LU Hao, WANG Jian-hua, CHEN Wei-xin, HAO Da-jun. Effect of Mesh Sizes on Welding Deformation Prediction Precision of Buicks Underframe Assembly[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2002, (2): 33-35,39.
[9]	YE Feng, SONG Yong-lun, LI Di, CHEN Fu-gen. On-line Quality Monitoring in Robot Arc Welding Process[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2001, (1): 5-7.
[10]	Zhao Xihua, Wang Chenyu. Parameter Selection Based on Expert System and Artificial Neural Network in Resistance Spot Welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1998, (4): 3-8.

Cited By

Cited by

Periodical cited type(1)

鲍亮亮，徐艳红，张新明，欧阳凯. 一次峰值温度对激光电弧复合焊热模拟临界再热粗晶区组织与韧性的影响. 材料导报. 2023(S2): 383-387 .

Other cited types(0)

Get Citation

PDF

XML

Article views (196) PDF downloads (50) Cited by(1)

Turn off MathJax

Article Contents

Abstract

References

Optimization of key technology of Inconel 718 alloy by laser additive repair