A review of multi-axis additive manufacturing: Potential, opportunity and challenge

被引:36
作者
Tang, Pengfei [1 ]
Zhao, Xianfeng [1 ]
Shi, Hongyan [1 ]
Hu, Bo [1 ]
Ding, Jinghu [1 ]
Yang, Buquan [1 ]
Xu, Wei [1 ]
机构
[1] Guizhou Univ, Coll Mech Engn, Guiyang 550025, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-axis AM; Multi-axis 3D printing; Robot assisted AM; Multi-axis AM layering algorithm; Multi-axis AM path planning; 3D PRINTING TECHNOLOGY; PATH GENERATION; TOPOLOGY OPTIMIZATION; SLICING PROCEDURES; MACHINE-DESIGN; DEPOSITION; CONSTRUCTION; QUALITY; FABRICATION; ALGORITHMS;
D O I
10.1016/j.addma.2024.104075
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The manufacturing of complex parts can be easily achieved by additive manufacturing (AM), which has attracted a significant attention from both academia and industry. Regardless of the shape of the model, the 3-axis AM techniques slice the model into a series of sections along the Z-axis and then use a fixed direction filling algorithm to plan the interiors of the sections. This approach greatly simplifies the planning of manufacturing processes. However, this directional construction method can lead to a series of problems, such as staircase effect, supporting effect, anisotropic mechanical property, and sizing limitation. In order to address these issues, both academia and industry have investigated multi-axis AM technology. Multi-axis AM dynamically constructs parts through redundant degrees of freedom, thus overcoming the problems of 3-axis AM process. This paper analyses the limitations of 3-axis AM process, summarizes the potential of multi-axis AM technology and describes methods for implementing multi-axis AM. The paper concludes with a discussion of the new opportunities and current challenges of multi-axis AM technology.
引用
收藏
页数:23
相关论文
共 177 条
[1]  
Ahlers D, 2019, IEEE INT CON AUTO SC, P1737, DOI [10.1109/coase.2019.8843116, 10.1109/COASE.2019.8843116]
[2]   4D printing: Fundamentals, materials, applications and challenges [J].
Ahmed, Aamir ;
Arya, Sandeep ;
Gupta, Vinay ;
Furukawa, Hidemitsu ;
Khosla, Ajit .
POLYMER, 2021, 228
[3]   Large-Scale 3D Printing: The Way Forward [J].
Al Jassmi, Hamad ;
Al Najjar, Fady ;
Mourad, Abdel-Hamid Ismail .
2017 5TH INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING, 2018, 324
[4]   Experimental Optimization of Fused Deposition Modelling Processing Parameters: a Design-for-Manufacturing Approach [J].
Alafaghani, Ala'aldin ;
Qattawi, Ala ;
Alrawi, Buraaq ;
Guzman, Arturo .
45TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 45), 2017, 10 :791-803
[5]   Teams of robots in additive manufacturing: a review [J].
Alhijaily, Abdullah ;
Kilic, Zekai Murat ;
Bartolo, A. N. Paulo .
VIRTUAL AND PHYSICAL PROTOTYPING, 2023, 18 (01)
[6]   An experimental demonstration of effective Curved Layer Fused Filament Fabrication utilising a parallel deposition robot [J].
Allen, Robert J. A. ;
Trask, Richard S. .
ADDITIVE MANUFACTURING, 2015, 8 :78-87
[7]   Large-scale 3D printing with a cable-suspended robot [J].
Barnett, Eric ;
Gosselin, Clement .
ADDITIVE MANUFACTURING, 2015, 7 :27-44
[8]   Expanding capabilities of additive manufacturing through use of robotics technologies: A survey [J].
Bhatt, Prahar M. ;
Malhan, Rishi K. ;
Shembekar, Aniruddha, V ;
Yoon, Yeo Jung ;
Gupta, Satyandra K. .
ADDITIVE MANUFACTURING, 2020, 31
[9]  
Bhatt PM, 2019, IEEE INT CONF ROBOT, P2800, DOI [10.1109/ICRA.2019.8793730, 10.1109/icra.2019.8793730]
[10]   Build orientation optimization of additive manufactured parts for better mechanical performance by utilizing the principal stress directions [J].
Birosz, Marton Tamas ;
Safranyik, Ferenc ;
Ando, Matyas .
JOURNAL OF MANUFACTURING PROCESSES, 2022, 84 :1094-1102