Term of Award
Fall 2025
Degree Name
Master of Science, Mechanical Engineering
Document Type and Release Option
Thesis (restricted to Georgia Southern)
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
JungHun Choi
Committee Member 2
Hossain Ahmed
Abstract
The demand for organ transplant is increasing day by day, which accelerated the interest in 3D bio-additive manufacturing. This method offers a promising solution to the growing demand for transplants by enabling fabrication of complex human organs and tissue models in the laboratory settings using biocompatible material. However, ensuring the structural integrity and print quality of the 3D bio-printed constructs remains a major challenge in this method due to the soft, translucent and lightweight bio-ink materials. Traditional sensor-based and offline structural health monitoring techniques often fall short because of the geometric and practical constraints of bio-printed structures. The limitations pose a challenge to the broader application of the 3D bio-printing process. Vibration characteristics, such as frequency response, operational deflection shapes near the resonant frequencies are the intrinsic properties of the structures related to the effective mass distribution and overall stiffness. Any change in structural integrity will deviate the effective mass and stiffness, and thus the vibration characteristics will have differences from the baseline properties. Thus, determining the vibration characteristics of the structure enables distinguishing healthy and defective samples and contributes to process optimization and structural health monitoring. Therefore, this study proposes a non-contact and non-destructive approach using video-based vibrometry for in-process structural health monitoring of extrusion-based 3D bio-printing. The ambient condition of the 3D bio-printer acted as the external excitation and the dynamic response of the sample being printed with the presence of this excitation was recorded using a high-speed camera at the final layer of printing. Phase-based motion estimation and magnification approach was implemented to determine the frequency response and the operational deflection shapes of the samples. To emulate the embedded defect, a void near the base was incorporated into the design of the sample. Comparative analysis between the healthy and defective samples revealed a significant shift in the resonant frequency and difference in operational deflection shapes. Data-driven metrics have been utilized to compare the amplitude of healthy and defective samples. The findings demonstrate that video-based vibration analysis holds significant potential to provide a reliable, non-contact and cost-effective means of detecting embedded defects by analyzing the vibration characteristics of the bio-constructs
Recommended Citation
Khan, Md Asif Hasan, "Video-Enabled Vibration Analysis for In-Process Monitoring in Extrusion-based 3D Bioprinting" (2025). Theses & Dissertations. 3025.
https://digitalcommons.georgiasouthern.edu/etd/3025
Research Data and Supplementary Material
No
