Term of Award
Summer 2025
Degree Name
Master of Science, Mechanical Engineering
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 Mechanical Engineering
Committee Chair
Jinki Kim
Committee Member 1
Hossain Ahmed
Committee Member 2
JungHun Choi
Abstract
Bio-additive manufacturing has emerged as a transformative advancement in biomedical engineering, enabling the fabrication of complex biological structures. However, maintaining the precision and quality of printed constructs remains a significant challenge, particularly in applications such as bioprinted organ transplants. Among the key factors affecting structural integrity, dimensional inconsistencies and interlayer defects present major obstacles, potentially compromising mechanical stability and functionality. This study explores the detection of defects caused by variations in dimensional accuracy and layer-to-layer adhesion. To address these challenges, a video-based motion estimation technique is employed as a non-contact and non-destructive evaluation method. Traditional approaches, such as contact-based and laser-based techniques, often struggle with the soft and translucent nature of bioprinted constructs, making this novel technique a more viable alternative. In this research, ear-shaped models are printed using an extrusion-based bioprinter with pneumatic dispensing, where several levels of dimensional defects are deliberately introduced by modifying extrusion parameters. Additionally, interlayer defects are induced by altering the G-code that controls the deposition between layers. The structural response of these bioconstructs is analyzed through high-speed imaging and phase-based motion estimation. The presence of dimensional and interlayer defects leads to distinct shifts in resonance frequencies and variations in modal properties. By monitoring these changes, defective constructs can be effectively identified. The findings of this study highlight the potential of this technique to ensure the structural integrity of bioprinted constructs. Incorporating this method into real-time quality assessment strategies could significantly enhance the reliability of bio-additive manufacturing which will lead to more robust and functional artificial organs, thereby advancing the field of regenerative medicine.
Recommended Citation
Rahman, MD Anisur, "Defect Detection in Extrusion-Based Bio-Printed Constructs Using Video-Based Vibration Analysis" (2025). Theses & Dissertations. 3002.
https://digitalcommons.georgiasouthern.edu/etd/3002
Research Data and Supplementary Material
No
