Active thermography for in-situ defect detection in laser powder bed fusion of metal

被引:0
|
作者
Hoefflin, Dennis [1 ,3 ]
Sauer, Christian [1 ,3 ]
Schiffler, Andreas [1 ,3 ]
Versch, Alexander [1 ,3 ]
Hartmann, Juergen [1 ,2 ]
机构
[1] Tech Univ Appl Sci Wurzburg Schweinfurt, Ignaz Schon Str 11, D-97421 Schweinfurt, Germany
[2] Ctr Appl Energy Res eV CAE, Magdalene Schoch Str 3, D-97074 Wurzburg, Germany
[3] Technol Transfer Ctr Main Spessart, Spessartstr 1, D-97828 Marktheidenfeld, Germany
关键词
Active thermography; PBF-LB/M; Non-destructive testing; SPIT; Process monitoring; MANUFACTURED COMPONENTS; ACOUSTIC-EMISSION; ULTRASOUND; POROSITY;
D O I
10.1016/j.jmapro.2024.09.085
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Additive manufacturing (AM) has revolutionized production by offering design flexibility, reducing material waste, and enabling intricate geometries that are often unachievable with traditional methods. As the use of AM for metals continues to expand, it is crucial to ensure the quality and integrity of printed components. Defects can compromise the mechanical properties and performance of the final product. Non-destructive testing (NDT) techniques are necessary to detect and characterize anomalies during or post-manufacturing. Active thermography, a thermal imaging technique that uses an external energy source to induce temperature variations, has emerged as a promising tool in this field. This paper explores the potential of in-situ non-destructive testing using the processing laser of a PBF-LB/M setup as an excitation source for active thermography. With this technological approach, artificially generated internal defects underneath an intact surface can be detected down to a defect size of 350 mu m - 450 mu m.
引用
收藏
页码:1758 / 1769
页数:12
相关论文
共 50 条
  • [1] In-Situ Defect Detection in Laser Powder Bed Fusion by Using Thermography and Optical Tomography-Comparison to Computed Tomography
    Mohr, Gunther
    Altenburg, Simon J.
    Ulbricht, Alexander
    Heinrich, Philipp
    Baum, Daniel
    Maierhofer, Christiane
    Hilgenberg, Kai
    METALS, 2020, 10 (01)
  • [2] An unsupervised machine learning algorithm for in-situ defect-detection in laser powder-bed fusion
    Taherkhani, Katayoon
    Eischer, Christopher
    Toyserkani, Ehsan
    JOURNAL OF MANUFACTURING PROCESSES, 2022, 81 : 476 - 489
  • [3] Application of active thermography for the study of losses in components produced by laser powder Bed fusion
    Quercio, Michele
    Poskovic, Emir
    Franchini, Fausto
    Fracchia, Elisa
    Ferraris, Luca
    Canova, Aldo
    Tenconi, Alberto
    Tiismus, Hans
    Kallaste, Ants
    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 2024, 592
  • [4] Pixelwise high-temperature calibration for in-situ temperature measuring in powder bed fusion of metal with laser beam
    Hoefflin, Dennis
    Sauer, Christian
    Schiffler, Andreas
    Manara, Jochen
    Hartmann, Juergen
    HELIYON, 2024, 10 (07)
  • [5] In-situ monitoring of powder bed fusion of polymers using laser profilometry
    Sillani, Francesco
    MacDonald, Eric
    Villela, Janely
    Schmid, Manfred
    Wegener, Konrad
    ADDITIVE MANUFACTURING, 2022, 59
  • [6] Local porosity prediction in metal powder bed fusion using in-situ thermography: A comparative study of machine learning techniques
    Oster, Simon
    Scheuschner, Nils
    Chand, Keerthana
    Altenburg, Simon J.
    ADDITIVE MANUFACTURING, 2024, 95
  • [7] Review of In Situ Detection and Ex Situ Characterization of Porosity in Laser Powder Bed Fusion Metal Additive Manufacturing
    Aydogan, Beytullah
    Chou, Kevin
    METALS, 2024, 14 (06)
  • [8] Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning
    Snow, Zackary
    Diehl, Brett
    Reutzel, Edward W.
    Nassar, Abdalla
    JOURNAL OF MANUFACTURING SYSTEMS, 2021, 59 : 12 - 26
  • [9] In-situ detection of redeposited spatter and its influence on the formation of internal flaws in laser powder bed fusion
    Schwerz, Claudia
    Raza, Ahmad
    Lei, Xiangyu
    Nyborg, Lars
    Hryha, Eduard
    Wirdelius, Hakan
    ADDITIVE MANUFACTURING, 2021, 47
  • [10] BRIEF PAPER: PROCESS MONITORING AND FAULT DETECTION IN LASER POWDER BED FUSION USING IN-SITU ACOUSTIC EMISSIONS
    Bevans, Benjamin D.
    Riensche, Alexander
    Plotnikov, Yuri
    Sions, John
    Snyder, Kyle
    Hass, Derek
    Rao, Prahalada
    PROCEEDINGS OF ASME 2024 19TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2024, VOL 1, 2024,