Article
Automation & Control Systems
Saad Waqar, Qidong Sun, Jiangwei Liu, Kai Guo, Jie Sun
Summary: The study focuses on the thermal behavior and melt pool morphology in multi-track multi-layer SLM of 316L steel, showing that as the number of layers increases, melt pool temperature, width, and depth increase, while heating rates and cooling rates decrease.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Chemistry, Physical
Alexandru Paraschiv, Gheorghe Matache, Mihaela Raluca Condruz, Tiberius Florian Frigioescu, Ion Ionica
Summary: The study revealed that laser defocusing distances have a significant impact on the surface quality, melt pool shape, tensile properties, and densification of SLMed IN 625. Negative defocusing distances lead to conduction melting mode with maximum density and ultimate tensile strength, while positive distances result in keyhole mode melting with decreased density and mechanical strength.
Article
Materials Science, Multidisciplinary
Lan Li, Frank Liou
Summary: The study utilized thermo-mechanical simulation to predict thermal and stress behavior in the Selective Laser Melting (SLM) process, tracking temperature and thermal stress history based on different material properties and parameter settings to gain insight into the characteristics of 304L stainless steel.
Article
Engineering, Multidisciplinary
Binqi Liu, Gang Fang, Liping Lei
Summary: The study introduces a new analytical model to predict the molten pool geometry in SLM, focusing on establishing heat balance assumptions and considering the interaction between recoil pressure and melted metal flow. Experimental validations show good accuracy of the model at medium energy density, exploring correlations between predicted geometry and defect thresholds.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Automation & Control Systems
Kai Guo, Lihong Qiao, Zhicheng Huang, Nabil Anwer, Yuda Cao
Summary: Selective laser melting (SLM) is a widely applicable metal additive manufacturing technology, but predicting the real geometry of SLM parts is challenging. This paper proposes a new model to establish the mathematical relationship between process parameters and melt pool structure, and validates its accuracy.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Materials Science, Multidisciplinary
Alexandra Morvayova, Nicola Contuzzi, Giuseppe Casalino
Summary: Despite research advancements, controlling defect formation in selective laser melted parts remains challenging. This paper proposes a meso-scale mechano-thermo-fluid dynamical FEM model that calculates and predicts the volume and dimensions of lack-of-fusion (LOF) defects based on process parameters. The numerical model is validated using experimentally assessed LOF defect volume and melt pool dimensions. Results indicate that the lowest LOF defect volume (0.41%) is achieved in specimens produced with 275 W laser power and a scanning speed of 400 mm/s. Laser power is identified as the parameter with the greatest impact on LOF volume and dimensions in selective laser melted parts.
MATERIALS SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Chemical
Erlei Li, Zongyan Zhou, Lin Wang, Haopeng Shen, Ruiping Zou, Aibing Yu
Summary: This study employs a validated mathematical model to assess the influence of material properties on the selective laser melting process. The results indicate that the solidification rate and mushy zone constant have a significant impact on the formation of pores and surface defects.
Article
Nanoscience & Nanotechnology
Junhao Zhao, Xiang Xue, Binbin Wang, Tong Liu, Lei Luo, Liangshun Luo, Yanan Wang, Liang Wang, Yanqing Su, Jingjie Guo, Hengzhi Fu
Summary: The addition of Sc and Zr improved the properties of Al-Mg-Mn alloy, with a relationship found between melt pool characteristics, solidified microstructures, densification behaviors, and mechanical properties. The combination of volume energy density and normalized enthalpy resulted in a relative density of up to 99.88%, while Sc and Zr inhibited recrystallization and enhanced mechanical properties. The study discussed a connection from solidification to final mechanical properties, offering insights for alloy design and parameter optimization.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Metallurgy & Metallurgical Engineering
Jiahe Mei, Ying Han, Guoqing Zu, Weiwei Zhu, Yu Zhao, Hua Chen, Xu Ran
Summary: In this study, a high-performance AlSi10Mg alloy was prepared using the selective laser melting method. The results showed that the laser power and scanning speed had significant effects on the relative density, hardness, and mechanical properties of the alloy. Optimized process parameters resulted in excellent mechanical properties.
ACTA METALLURGICA SINICA-ENGLISH LETTERS
(2022)
Article
Engineering, Manufacturing
Qihang Fang, Zhenbiao Tan, Hui Li, Shengnan Shen, Sheng Liu, Changhui Song, Xin Zhou, Yongqiang Yang, Shifeng Wen
Summary: Selective laser melting (SLM) is an additive manufacturing technology with extensive applications, but defects are prone to occur, requiring a more reliable and repeatable manufacturing process. A novel method using a U-Net-based convolutional neural network to capture melt pool signature was described, achieving better results with reduced inference time.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Engineering, Chemical
Syed Zahid Hussain, Zareena Kausar, Zafar Ullah Koreshi, Shakil R. Sheikh, Hafiz Zia Ur Rehman, Haseeb Yaqoob, Muhammad Faizan Shah, Ahmad Abdullah, Farooq Sher
Summary: This study proposed a model to account for heat from neighboring tracks in selective laser melting (SLM) process and designed a feedback control to regulate the melt pool cross-sectional area, reducing the impact of heat from nearby tracks. By combining the thermal model with the disturbance model, a nonlinear model describing the melt pool evolution was established, and a PID controller was used to minimize the effect of intertrack disturbance on the melt pool area. Simulation results demonstrated that the controller could effectively regulate the desired melt pool area within a short time frame, enhancing the quality of components and reducing defects in the SLM process.
Article
Materials Science, Multidisciplinary
Jairo Alberto Munoz, Misha Pavlov, Vladimir Cheverikin, Alexander Komissarov, Alexander Gromov
Summary: An AlSi11Cu alloy obtained through selective laser melting using powder bed fusion showed abnormal melting pools size distribution and preferred texture orientation, leading to varied mechanical properties in different directions. The microstructure of the alloy indicated abnormal grain growth behavior.
MATERIALS CHARACTERIZATION
(2021)
Article
Optics
E. Cuesta, S. Giganto, B. J. Alvarez, J. Barreiro, S. Martinez-Pellitero, V Meana
Summary: This research focuses on the metrological suitability of a laser line scanner for parts manufactured by Selective Laser Melting, and concludes that filters based on the standard deviation of the point cloud are the best candidates to obtain laser measurements closer to contact measurements.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Engineering, Manufacturing
Wei Xing, Xin Chu, Tianyi Lyu, Chi-Guhn Lee, Yu Zou, Yiming Rong
Summary: In the selective laser melting (SLM) process, fluctuation of part quality has been a problem. This study demonstrates that convolutional neural networks (CNN) can effectively monitor and classify melt pool characteristics, improving the SLM process. CNN improves the classification accuracy of melt pools and has the potential to enhance SLM production.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Automation & Control Systems
Subin Shrestha, Kevin Chou
Summary: The study examines the effects of laser parameters on single-track geometry and porosity in selective laser melting, showing that an increase in LED results in higher porosity. Metallography reveals a significant increase in melt pool depth with LED increase, indicating a change in melting mode.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
