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Harvey_Thesis_Report.pdf (7.23 MB)

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Correlating In-Situ Monitoring Data with Internal Defects in Laser Powder Bed Fusion Additive Manufacturing

Harvey, Andrew J.
http://orcid.org/0000-0002-1198-0417
http://rave.ohiolink.edu/etdc/view?acc_num=wright1598887463083866

Abstract Details

2020, Master of Science in Mechanical Engineering (MSME), Wright State University, Mechanical Engineering.
The presence of defects within laser powder bed fusion (LPBF) parts can lead to reduced mechanical properties and life of components. Because of this, the ability to detect these defects within the parts is critical before the part is subject to its intended loading. Normally the parts are subjected to a quality analysis once they are completed however, this process is typically expensive and time consuming. A solution for these problems is to sense the creation of defects and pores in the parts in-situ, while the part is being fabricated. One proposed method of in-situ monitoring is visible spectroscopy to identify defects based on the light intensities during prints. In this work, in-situ spectroscopy intensities and ex-situ computed tomography defect data are compared for different processing parameters and two LPBF builds to determine correlation. Results show that changes in the signals from the spectroscopy occur for different conditions of processing parameters and geometries.
Joy Gockel, Ph.D. (Advisor)
Nathan Klingbeil, Ph.D. (Committee Member)
John Middendorf, Ph.D. (Committee Member)
150 p.
Materials Science; Mechanical Engineering
Laser Powder Bed Fusion; Additive Manufacturing; Spectroscopy; Porosity; Process Monitoring; Inconel 718

Recommended Citations

Citations

  • Harvey, A. J. (2020). Correlating In-Situ Monitoring Data with Internal Defects in Laser Powder Bed Fusion Additive Manufacturing [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1598887463083866

    APA Style (7th edition)

  • Harvey, Andrew. Correlating In-Situ Monitoring Data with Internal Defects in Laser Powder Bed Fusion Additive Manufacturing. 2020. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1598887463083866.

    MLA Style (8th edition)

  • Harvey, Andrew. "Correlating In-Situ Monitoring Data with Internal Defects in Laser Powder Bed Fusion Additive Manufacturing." Master's thesis, Wright State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1598887463083866

    Chicago Manual of Style (17th edition)

wright1598887463083866
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© 2020, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.