Comprehensive study on statistical methods for optimization of process parameters and material properties of AlSi10Mg in laser powder bed fusion

被引:0
|
作者
Mergim Krasniqi [1 ]
Frank Löffler [1 ]
机构
[1] Physikalisch-Technische Bundesanstalt,
来源
关键词
Additive manufacturing (AM); Laser powder bed fusion (L-PBF); AlSi10Mg; Design of experiments (DoE); ANOVA; Process parameters; Material properties;
D O I
10.1007/s44245-024-00073-4
中图分类号
学科分类号
摘要
This study provides a systematic investigation of the effects of process parameters and heat treatments on the material properties of AlSi10Mg, produced by laser powder bed fusion (L-PBF). Using a central composite design (CCD) with 106 test specimens (49 cubes, 57 tensile), the samples were studied for key properties: density (up to 99.96%), hardness (up to 154.6 HV1), surface roughness (as low as 1.9 Ra), tensile strength (up to 487.5 MPa), and elongation at break (up to 16.6%). Statistical analysis (ANOVA) identified laser power and scanning speed as the most influential parameters on these properties. Additionally, heat treatment was shown to reduce hardness and tensile strength but increase elongation at break, demonstrating the ability to modify mechanical properties based on the desired outcome. Process parameter optimization yielded properties comparable to some of the highest reported values for AlSi10Mg in the literature. The study also discusses the transferability and reproducibility of L-PBF results across different machines, highlighting challenges related to machine-to-machine variations, lack of calibration and standardization and parameter consistency. The results demonstrate the potential of L-PBF to produce AlSi10Mg parts with tailored properties for industrial applications.
引用
收藏
相关论文
共 50 条
  • [41] Laser Powder Bed Fusion of Diamond-Reinforced AlSi10Mg: Printing Process, Interfacial Characterization, and Mechanical Properties
    Kraiem, Nada
    Tessier-Doyen, Nicolas
    Mao, Aofei
    Ji, Gang
    Wang, Fei
    Loubere, Emmanuel
    Dong, Haoyu
    Zhu, Qiuchi
    Cui, Bai
    Silvain, Jean-Francois
    Lu, Yong Feng
    ADVANCED ENGINEERING MATERIALS, 2025, 27 (05)
  • [42] Defect-Based Fatigue Modeling for AlSi10Mg Produced by Laser Powder Bed Fusion Process
    Ojha, Avinesh
    Lai, Wei-Jen
    Li, Ziang
    Engler-Pinto, Carlos
    Su, Xuming
    TMS 2021 150TH ANNUAL MEETING & EXHIBITION SUPPLEMENTAL PROCEEDINGS, 2021, : 75 - 91
  • [43] Laser-powder bed fusion process optimisation of AlSi10Mg using extra trees regression
    Minkowitz, Lisa
    Arneitz, Siegfried
    Effertz, Pedro S.
    Amancio-Filho, Sergio T.
    MATERIALS & DESIGN, 2023, 227
  • [44] Influence of powder size on defect generation in laser powder bed fusion of AlSi10Mg alloy
    Chu, Fuzhong
    Li, Erlei
    Shen, Haopeng
    Chen, Zhuoer
    Li, Yixin
    Liu, Hui
    Min, Shiling
    Tian, Xinni
    Zhang, Kai
    Zhou, Zongyan
    Zou, Ruiping
    Hou, Juan
    Wu, Xinhua
    Huang, Aijun
    JOURNAL OF MANUFACTURING PROCESSES, 2023, 94 : 183 - 195
  • [45] Role of powder particle size on laser powder bed fusion processability of AlSi10mg alloy
    Balbaa, M. A.
    Ghasemi, A.
    Fereiduni, E.
    Elbestawi, M. A.
    Jadhav, S. D.
    Kruth, J-P
    ADDITIVE MANUFACTURING, 2021, 37
  • [46] Unlocking the potential of graphene-reinforced AlSi10Mg nanocomposites in laser powder bed fusion: A comprehensive review
    Abedi, Mohammad
    Moskovskikh, Dmitry
    Romanovski, Valentin
    Ozherelkov, Dmitry
    Gromov, Alexander
    JOURNAL OF ALLOYS AND COMPOUNDS, 2024, 978
  • [47] Hot isostatic pressing of laser powder bed fusion AlSi10Mg: parameter identification and mechanical properties
    Macias, Juan Guillermo Santos
    Zhao, Lv
    Tingaud, David
    Bacroix, Brigitte
    Pyka, Grzegorz
    van der Rest, Camille
    Ryelandt, Laurence
    Simar, Aude
    JOURNAL OF MATERIALS SCIENCE, 2022, 57 (21) : 9726 - 9740
  • [48] Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg
    Luo, Qixiang
    Huang, Nancy
    Bartles, Dean L.
    Simpson, Timothy W.
    Beese, Allison M.
    JOURNAL OF INTELLIGENT MANUFACTURING, 2025,
  • [49] Hot isostatic pressing of laser powder bed fusion AlSi10Mg: parameter identification and mechanical properties
    Juan Guillermo Santos Macías
    Lv Zhao
    David Tingaud
    Brigitte Bacroix
    Grzegorz Pyka
    Camille van der Rest
    Laurence Ryelandt
    Aude Simar
    Journal of Materials Science, 2022, 57 : 9726 - 9740
  • [50] Mechanical properties characterisation of AlSi10Mg parts produced by laser powder bed fusion additive manufacturing
    Del Re, Francesco
    Scherillo, Fabio
    Contaldi, Vincenzo
    Palumbo, Biagio
    Squillace, Antonino
    Corrado, Pasquale
    Di Petta, Paolo
    INTERNATIONAL JOURNAL OF MATERIALS RESEARCH, 2019, 110 (05) : 436 - 446