Chrome Extension
WeChat Mini Program
Use on ChatGLM
VIPCreated with Sketch.

    • Effects of Processing Parameters on the LPBF-deposited AlSi10Mg/SiCp Composite: Microstructure and Mechanical Properties

    Yan Chen,Zengyun Jian,Kan Li,Kang Song,Yongming Ren,Yongqin Liu,Bo Dang,Man Zhu,Qian Gao

    MATERIALS SCIENCE AND TECHNOLOGY（2023）

    Xian Technol Univ

    Cited 1|Views22
    Abstract
    Adding SiC particle (SiC p ) to Al alloys to form Al/SiC p composite can increase the elastic modulus and reduce the thermal expansion coefficient of the material. In this study, the microstructure, porosity and thermal expansion coefficient, and mechanical properties of AlSi10Mg-10 vol.% SiC p composite fabricated by laser powder bed fusion (LPBF) were investigated. The ultimate tensile strength, compressive strength, compressive modulus, and the thermal expansion coefficient of LPBF-deposited AlSi10Mg/SiC p composite are 351, 861.9 MPa, 121.9 GPa and 18.23 × 10 −6 °C −1 , respectively. The results demonstrate that the use of the E v equation to evaluate the effect of LPBF parameters on mechanical properties and relative density of the composites is accurate when only one parameter changes in the E v equation.
    More
    Translated text
    Key words
    Laser powder bed fusion,processing parameters,AlSi10Mg,SiCp composite,microstructure,porosity,mechanical properties,thermal expansion coefficient,volumetric laser energy density (E-v)
    求助PDF
    上传PDF
    View via Publisher
    Bibtex
    AI Read Science
    AI Summary
    AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
    Example
    Background
    Key content
    Introduction
    Methods
    Results
    Related work
    Fund
    Key content
    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
    Upload PDF to Generate Summary
    Must-Reading Tree
    Example
    Generate MRT to find the research sequence of this paper
    Data Disclaimer
    The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
    Chat Paper
    【要点】：本研究探究了激光粉末床熔化（LPBF）工艺参数对AlSi10Mg/SiCp复合材料的微观结构、孔隙率、热膨胀系数以及力学性能的影响，发现单一参数变化时使用Ev方程评估复合材料的力学性能和相对密度是准确的。
    

    【方法】：采用Ev方程评估LPBF工艺参数对AlSi10Mg/SiCp复合材料性能的影响。
    

    【实验】：通过LPBF技术制备了AlSi10Mg-10 vol.% SiCp复合材料，研究了其微观结构、孔隙率、热膨胀系数和力学性能，数据集名称未提及，实验结果显示复合材料的抗拉强度为351 MPa，抗压强度为861.9 MPa，抗压模量为121.9 GPa，热膨胀系数为18.23 × 10^-6 °C^-1。