Modulated laser thermal interrogation (MLTI): A novel in situ metal powder evaluation technique for laser powder bed fusion

被引:0
作者
Ghadi, Sina [1 ]
Chen, Xiaobo [1 ,2 ]
Tomasello, Nicholas S. [2 ]
Derimow, Nicholas A. [3 ]
Rangarajan, Srikanth [4 ]
Zhou, Guangwen [1 ,2 ]
Schiffres, Scott N. [1 ,2 ]
机构
[1] SUNY Binghamton, Thomas J Watson Coll Engn & Appl Sci, Dept Mech Engn, Binghamton, NY 13902 USA
[2] SUNY Binghamton, Mat Sci & Engn Program, Binghamton, NY 13902 USA
[3] Natl Inst Stand & Technol, Appl Chem & Mat Div, 325 Broadway, Boulder, CO 80305 USA
[4] SUNY Binghamton, Sch Syst Sci & Ind Engn, Binghamton, NY 13902 USA
关键词
Powder quality; Powder bed fusion (PBF); NDT; In situ; Thermography; NORMAL SPECTRAL EMISSIVITY; TI-6AL-4V; POROSITY; REUSE;
D O I
10.1016/j.addma.2025.104728
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Assessment of metal powders in powder bed additive manufacturing is crucial, as the quality of the powders significantly impacts the final printed parts. This study introduces a novel technique to characterize metal powders by analyzing changes in their thermal properties, specifically heat capacity and thermal conductivity. The Modulated Laser Thermal Interrogation (MLTI) method utilizes frequency domain responses of temperature to facilitate this characterization. To validate the performance of MLTI, a benchtop setup was made, which identified distinct thermal responses related to various material features, including core material detection, age, oxygen content, and particle size distribution. The powder was heated by a 7 W laser (445 nm) that was modulated at frequencies between 100 Hz and 2 kHz. By capturing the IR emission of the surface with the photodetector and sending the signals to the lock-in amplifier, demodulated amplitude and phase could be extracted which represent the characteristics of the metal powder. We tested common metal powders used in powder bed fusion, such as Cu, AlSi10Mg, SS316L, IN718, and Ti-6Al-4V G5 and G23, to demonstrate the capabilities of the MLTI method. The frequency-domain measurements provided by MLTI offer reduced noise compared to traditional methods. By leveraging machine learning, we could accurately characterize the powder, identify the core material of the powder, determine whether the powder is fresh or reused, assess interstitial oxygen content, verify the powder deposition layer thickness, and analyze particle size distribution. This enhances quality control and process monitoring in powder bed additive manufacturing.
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页数:17
相关论文
共 53 条
  • [1] America Makes & ANSI Additive Manufacturing Standardization Collaborative (AMSC), 2018, Standardization Roadmap for Additive Manufacturing
  • [2] [Anonymous], Test Methods for Flow Rate of Metal Powders Using the Hall Flowmeter Funnel, DOI DOI 10.1520/B0213-20
  • [3] [Anonymous], Test Method for Apparent Density of Free-Flowing Metal Powders Using the Hall Flowmeter Funnel, DOI DOI 10.1520/B0212-21
  • [4] Effect of IN718 recycled powder reuse on properties of parts manufactured by means of Selective Laser Melting
    Ardila, L. C.
    Garciandia, F.
    Gonzalez-Diaz, J. B.
    Alvarez, P.
    Echeverria, A.
    Petite, M. M.
    Deffley, R.
    Ochoa, J.
    [J]. 8TH INTERNATIONAL CONFERENCE ON LASER ASSISTED NET SHAPE ENGINEERING (LANE 2014), 2014, 56 : 99 - 107
  • [5] Additive laser metal deposition onto silicon
    Azizi, Arad
    Daeumer, Matthias A.
    Schiffres, Scott N.
    [J]. ADDITIVE MANUFACTURING, 2019, 25 : 390 - 398
  • [6] B09 Committee, Test Method for Apparent Density of Non Free Flowing Metal Powders Using the Carney Funnel, DOI [10.1520/B0417-22, DOI 10.1520/B0417-22]
  • [7] Perspectives on Additive Manufacturing
    Bourell, David L.
    [J]. ANNUAL REVIEW OF MATERIALS RESEARCH, VOL 46, 2016, 46 : 1 - 18
  • [8] Defects in Metal Additive Manufacturing Processes
    Brennan, M. C.
    Keist, J. S.
    Palmer, T. A.
    [J]. JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2021, 30 (07) : 4808 - 4818
  • [9] Analysis of heat flow in layered structures for time-domain thermoreflectance
    Cahill, DG
    [J]. REVIEW OF SCIENTIFIC INSTRUMENTS, 2004, 75 (12) : 5119 - 5122
  • [10] Cu-based materials: Design strategies (hollow, core-shell, and LDH), sensing performance optimization, and applications in small molecule detection
    Cao, Wenbin
    Guo, Tong
    Wang, Jialiang
    Xu, Guangyu
    Jiang, Jizhou
    Liu, Dong
    [J]. COORDINATION CHEMISTRY REVIEWS, 2023, 497