Porosity Measurements and Analysis for Metal Additive Manufacturing Process Control

被引:271
|
作者
Slotwinski, John A. [1 ]
Garboczi, Edward J. [2 ]
Hebenstreit, Keith M. [3 ]
机构
[1] NIST, Engn Lab Intelligent Syst Div, Addit Mfg Mat Project, Prod Syst Grp, Gaithersburg, MD 20899 USA
[2] NIST, Boulder Site Appl Chem & Mat Div, Gaithersburg, MD 20899 USA
[3] SUNY Binghamton, Binghamton, NY 13902 USA
关键词
additive manufacturing; Archimedes; cobalt-chrome; Direct Metal Laser Sintering; porosity; powder bed fusion; ultrasonic NDT; X-ray computed tomography; ELASTIC-MODULI; ULTRASONIC VELOCITY; PARTICLES; CERAMICS; DENSITY;
D O I
10.6028/jres.119.019
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Additive manufacturing techniques can produce complex, high-value metal parts, with potential applications as critical metal components such as those found in aerospace engines and as customized biomedical implants. Material porosity in these parts is undesirable for aerospace parts - since porosity could lead to premature failure - and desirable for some biomedical implants - since surface-breaking pores allows for better integration with biological tissue. Changes in a part's porosity during an additive manufacturing build may also be an indication of an undesired change in the build process. Here, we present efforts to develop an ultrasonic sensor for monitoring changes in the porosity in metal parts during fabrication on a metal powder bed fusion system. The development of well-characterized reference samples, measurements of the porosity of these samples with multiple techniques, and correlation of ultrasonic measurements with the degree of porosity are presented. A proposed sensor design, measurement strategy, and future experimental plans on a metal powder bed fusion system are also presented.
引用
收藏
页码:494 / 528
页数:35
相关论文
共 50 条
  • [1] Statistical Analysis of Porosity and Process Parameter Relationships in Metal Additive Manufacturing
    Ball, S.
    Ghayoor, M.
    Pasebani, S.
    Tabei, A.
    [J]. 49TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 49, 2021), 2021, 53 : 343 - 347
  • [2] Porosity Analysis in Metal Additive Manufacturing by Micro-CT
    Shrestha, Subin
    Starr, Thomas
    Chou, Kevin
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2018, VOL 2, 2019,
  • [3] Porosity of Additive Manufacturing Parts for Process Monitoring
    Slotwinski, J. A.
    Garboczi, E. J.
    [J]. 40TH ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: INCORPORATING THE 10TH INTERNATIONAL CONFERENCE ON BARKHAUSEN NOISE AND MICROMAGNETIC TESTING, VOLS 33A & 33B, 2014, 1581 : 1197 - 1204
  • [4] Prediction of Porosity and its Mechanisms in Metal Additive Manufacturing
    Ingle, Nikhil
    Mohan, Ram V.
    [J]. PROCEEDINGS OF ASME 2022 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2022, VOL 3, 2022,
  • [5] Analytical modeling of part porosity in metal additive manufacturing
    Ning, Jinqiang
    Sievers, Daniel E.
    Garmestani, Hamid
    Liang, Steven Y.
    [J]. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2020, 172 (172)
  • [6] Prediction of porosity in metal-based additive manufacturing using spatial Gaussian process models
    Tapia, G.
    Elwany, A. H.
    Sang, H.
    [J]. ADDITIVE MANUFACTURING, 2016, 12 : 282 - 290
  • [7] In-Process monitoring of porosity during laser additive manufacturing process
    Zhang, Bin
    Liu, Shunyu
    Shin, Yung C.
    [J]. ADDITIVE MANUFACTURING, 2019, 28 : 497 - 505
  • [8] Metal based additive layer manufacturing: variations, correlations and process control
    O'Regan, Paul
    Prickett, Paul
    Setchi, Rossi
    Hankins, Gareth
    Jones, Nick
    [J]. KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016, 2016, 96 : 216 - 224
  • [9] A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing
    Tapia, Gustavo
    Elwany, Alaa
    [J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2014, 136 (06):
  • [10] Repetitive Process Control of Additive Manufacturing With Application to Laser Metal Deposition
    Sammons, Patrick M.
    Gegel, Michelle L.
    Bristow, Douglas A.
    Landers, Robert G.
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (02) : 566 - 575