Term of Award
Spring 2025
Degree Name
Master of Science in Applied Engineering (M.S.A.E.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Department of Manufacturing Engineering
Committee Chair
Hossein Taheri
Committee Member 1
Kamran Kardel
Committee Member 2
Yue Zhang
Abstract
Non-destructive testing techniques provide a unique solution to provide quality assurance of parts rapidly and efficiently without altering the functional properties of the workpiece. The metal casting industry requires an elevated level of quality assurance, as castings are critical components to several industries. The wrong selection of non-destructive testing methods could increase production costs, quality costs, and potentially permit non-conforming castings to enter the market. The aim of this research is to develop a ranking model for non-destructive testing techniques for ductile iron castings within the context of the fourth industrial revolution. The ranking model analyzes the effectiveness of the testing points, cost effectiveness, and time efficiency of the non-destructive testing methods. Ductile iron castings were chosen to verify this model as these castings are critical components in their applications in the industry. The resulting model indicated that resonance frequency testing was the most effective and optimal for detecting non-conformities, which was mainly influenced by the higher cost efficiency and time efficiency from automating the testing. Eddy current testing was ranked as the lowest with the main contributor coming from the significantly lower efficiency of detecting nonconformities. Further research could analyze the combination of these testing methods to determine an optimal quality assurance for castings.
Recommended Citation
Jones, Michael W., "Ranking of Non-Destructive Testing Methods for Ductile Iron Castings for Industry 4.0" (2025). Electronic Theses and Dissertations. 2943.
https://digitalcommons.georgiasouthern.edu/etd/2943
Research Data and Supplementary Material
No