Forming accuracy improvement in wire arc additive manufacturing (WAAM): a review

被引:19
作者
Li, Yiwen [1 ,2 ]
Dong, Zhihai [1 ,2 ]
Miao, Junyan [1 ,2 ]
Liu, Huifang [1 ]
Babkin, Aleksandr [3 ]
Chang, Yunlong [1 ,2 ]
机构
[1] Shenyang Univ Technol, Shenyang, Peoples R China
[2] Shenyang Collaborat Innovat Ctr Project Multiple, Shenyang, Peoples R China
[3] Lipetsk State Tech Univ, Lipetsk, Russia
基金
中国国家自然科学基金;
关键词
Wire arc additive manufacturing; High-precision geometry; Interlayer temperature control; Multiphysics field hybrid; Feedback control; COLD METAL TRANSFER; DROPLET TRANSFER PROCESS; MECHANICAL-PROPERTIES; RESIDUAL-STRESS; MAGNETIC-FIELD; MICROSTRUCTURE; ALUMINUM; PROPAGATION; PERFORMANCE; FABRICATION;
D O I
10.1108/RPJ-05-2022-0154
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Purpose This paper aims to anticipate the possible development direction of WAAM. For large-scale and complex components, the material loss and cycle time of wire arc additive manufacturing (WAAM) are lower than those of conventional manufacturing. However, the high-precision WAAM currently requires longer cycle times for correcting dimensional errors. Therefore, new technologies need to be developed to achieve high-precision and high-efficiency WAAM. Design/methodology/approach This paper analyses the innovations in high-precision WAAM in the past five years from a mechanistic point of view. Findings Controlling heat to improve precision is an effective method. Methods of heat control include reducing the amount of heat entering the deposited interlayer or transferring the accumulated heat out of the interlayer in time. Based on this, an effective and highly precise WAAM is achievable in combination with multi-scale sensors and a complete expert system. Originality/value Therefore, a development direction for intelligent WAAM is proposed. Using the optimised process parameters based on machine learning, adjusting the parameters according to the sensors' in-process feedback, achieving heat control and high precision manufacturing.
引用
收藏
页码:673 / 686
页数:14
相关论文
共 139 条
[61]   Reducing arc heat input and obtaining equiaxed grains by hot-wire method during arc additive manufacturing titanium alloy [J].
Li, Zixiang ;
Liu, Changmeng ;
Xu, Tianqiu ;
Ji, Lei ;
Wang, Donghai ;
Lu, Jiping ;
Ma, Shuyuan ;
Fan, Hongli .
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2019, 742 :287-294
[62]   Compulsively constricted WAAM with arc plasma and droplets ejected from a narrow space [J].
Liu, Wenqiang ;
Jia, Chuanbao ;
Guo, Meng ;
Gao, Jinqiang ;
Wu, Chuansong .
ADDITIVE MANUFACTURING, 2019, 27 :109-117
[63]   Eliminating microstructure and mechanical anisotropy of Ti-6.5Al-2Zr-1Mo-1 V manufactured by hot-wire arc additive manufacturing through boron addition [J].
Lu, Tao ;
Cui, Yinan ;
Xue, Linan ;
Zhang, Haorui ;
Liu, Changmeng .
JOURNAL OF MATERIALS SCIENCE, 2021, 56 (21) :12438-12454
[64]   Mechanical properties of carbon steel by compound arc and vibration shock forging-rolling [J].
Ma, Chi ;
Liu, Yonghong ;
Li, Changlong ;
Dong, Hang ;
Li, Dege ;
Wu, Xinlei ;
Liu, Peng ;
Sun, Qiang ;
Jin, Hui ;
Zhang, Fan .
JOURNAL OF MANUFACTURING PROCESSES, 2020, 60 :11-22
[65]   Numerical simulation of droplet transfer process in ultrasonic-assisted MIG welding [J].
Ma, Guohong ;
Liu, Juncai ;
Yu, Lesheng ;
Hong, Lei ;
He, Yinshui .
SCIENCE AND TECHNOLOGY OF WELDING AND JOINING, 2020, 25 (03) :179-189
[66]   Multiprocess 3D printing for increasing component functionality [J].
MacDonald, Eric ;
Wicker, Ryan .
SCIENCE, 2016, 353 (6307)
[67]   Microstructural Features and Mechanical Integrity of Wire Arc Additive Manufactured SS321/Inconel 625 Functionally Gradient Material [J].
Mohan Kumar, S. ;
Rajesh Kannan, A. ;
Pravin Kumar, N. ;
Pramod, R. ;
Siva Shanmugam, N. ;
Vishnu, A. S. ;
Channabasavanna, S. G. .
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2021, 30 (08) :5692-5703
[68]   Heat accumulation prevention in Wire-Arc-Additive-Manufacturing using air jet impingement [J].
Montevecchi, Filippo ;
Venturini, Giuseppe ;
Grossi, Niccolò ;
Scippa, Antonio ;
Campatelli, Gianni .
Manufacturing Letters, 2018, 17 :14-18
[69]  
Montevecchi F., 2022, SELECTED TOPICS MANU, P75, DOI [10.1007/978-3-030-57729-2_6, DOI 10.1007/978-3-030-57729-2_6]
[70]   Idle time selection for wire-arc additive manufacturing: A finite element-based technique [J].
Montevecchi, Filippo ;
Venturini, Giuseppe ;
Grossi, Niccolo ;
Scippa, Antonio ;
Campatelli, Gianni .
ADDITIVE MANUFACTURING, 2018, 21 :479-486