Yang Teng, Mazumder Sangram, Jin Yuqi, Squires Brian, Sofield Mathew, Pantawane Mangesh V, Dahotre Narendra B, Neogi Arup
Department of Materials Science and Engineering, University of North Texas, Denton, TX 76207, USA.
Center for Agile and Adaptive Additive Manufacturing, University of North Texas, Denton, TX 76207, USA.
Materials (Basel). 2021 Aug 30;14(17):4929. doi: 10.3390/ma14174929.
Additive manufacturing technologies based on metal are evolving into an essential advanced manufacturing tool for constructing prototypes and parts that can lead to complex structures, dissimilar metal-based structures that cannot be constructed using conventional metallurgical techniques. Unlike traditional manufacturing processes, the metal AM processes are unreliable due to variable process parameters and a lack of conventionally acceptable evaluation methods. A thorough understanding of various diagnostic techniques is essential to improve the quality of additively manufactured products and provide reliable feedback on the manufacturing processes for improving the quality of the products. This review summarizes and discusses various ex-situ inspections and in-situ monitoring methods, including electron-based methods, thermal methods, acoustic methods, laser breakdown, and mechanical methods, for metal additive manufacturing.
基于金属的增材制造技术正在演变成一种重要的先进制造工具，用于构建能够实现复杂结构的原型和部件，以及使用传统冶金技术无法构建的异种金属基结构。与传统制造工艺不同，由于工艺参数可变且缺乏传统上可接受的评估方法，金属增材制造工艺并不可靠。全面了解各种诊断技术对于提高增材制造产品的质量以及为改进产品质量的制造过程提供可靠反馈至关重要。本综述总结并讨论了用于金属增材制造的各种非原位检测和原位监测方法，包括基于电子的方法、热方法、声学方法、激光击穿和机械方法。
