Masters Theses

Keywords and Phrases

Modal analysis as non-destructive testing technique for additively manufactured 304L stainless steel parts


“Non-Destructive Testing (NDT) methods for Additively Manufactured (AM) parts is an ongoing field of research in the additive community due to its ability to determine if a part can be deemed viable for field usage. This study presents modal analysis as a NDT method for AM parts. For production builds that have multiple copies of the same part, a correcting technique can be used such that the frequencies of the parts under test can be reliably compared against each other, which saves both time and money compared to other traditional NDT methods. This study was able to develop a novel method for quantifying the processing force that develops over the melt pool during the Selective Laser Melting (SLM) process. The processing force was found to be dependent on the laser power, Pulse Repetition Frequency (PRF), and scanning speed, which are the primary processing parameters of the SLM process. Modal analysis is shown to be a promising NDT method and future work will be done to look at an algorithmic framework for analyzing an arbitrary part with modal analysis”--Abstract, page iv.


Landers, Robert G.

Committee Member(s)

Kinzel, Edward C.
Bristow, Douglas A.


Mechanical and Aerospace Engineering

Degree Name

M.S. in Mechanical Engineering


The author would like to thank and acknowledge the financial supports of this work. This work was funded by Honeywell Federal Manufacturing & Technologies under Contract No. DE-NA0002839 with the U.S. Department of Energy.


Missouri University of Science and Technology

Publication Date

Summer 2020

Journal article titles appearing in thesis/dissertation

  • Effects of identical parts on a common build plate on the modal analysis of SLM created metal
  • Frequency domain measurements of melt pool recoil force using modal analysis


xii, 59 pages

Note about bibliography

Includes bibliographic references (pages 57-58).


© 2020 Tristan Nicholas Cullom, All rights reserved.

Document Type

Thesis - Open Access

File Type




Thesis Number

T 12076