Smoqi, Z. (2022) M3AM: Materials, Monitoring, and Machine Learning for Flaw-Free Additive Manufacturing. Dissertation, The University of Nebraska-Lincoln.

has been cited by the following article:

• TITLE: Influence of Scanning Patterns on Mechanical Behavior and Distortion in Laser Directed Energy Deposition

  AUTHORS: Qi Wang, Bingjie Xiao, Shaopeng Zheng

  KEYWORDS: Directed Energy Deposition, Deposition Strategy, 316L Stainless Steel, Microstructure, Microhardness, Surface Smoothness

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.11, November 25, 2024

  ABSTRACT: Laser Directed Energy Deposition (LDED) marks a critical advance in intelligent manufacturing, enabling efficient near-net shape production of metal parts. This method is especially beneficial for aerospace and defense applications that require high precision. However, issues such as deformation and heat accumulation during production still affect the quality of the final products, necessitating further optimization of process parameters. This paper studies the effects of three deposition strategies on 316L stainless steel parts using LDED. The three strategies based on unidirectional scanning (US), zigzag scanning (ZS), and square spiral scanning (SS) are investigated by solid samples and samples with a central hole. The surface smoothness, defects, and mechanical properties of 316L samples manufactured with the above strategies are discussed by means of surface topography tests and metallographic characterization. Experimental results indicate that the zigzag scanning strategy yielded better results for solid components, and the square spiral scanning strategy is suitable for samples with a central hole.