Design and Build multifunctional Bioprinter
Project Description
Additive manufacturing (AM) has become one of the most important techniques in recent decades, because it offers substantial design freedom for parts with complex geometries such as intricate internal features and lattice structures. Because of this advantage, one of the significant applications of AM is in regenerative medicine, which is also referred to 3D bioprinting. 3D bioprinting can fabricate organ-like structures with cells and biomaterials. However, commercial 3D bioprinters are usually expensive and closed source. Thus, they are hard to be integrated with sensors and control systems to ensure the part qualities. In this project, a low-cost, open source, and multimaterial bioprinter will be designed and built. Different sensors such as thermal sensors, optical camera, vibration sensors will be installed on the bioprinter to monitor the printing process in real-time. Open source system allows the control of different process parameters such as temperature, printing speed, and printing paths. The built bioprinter should be able to print different materials such as polymers and hydrogels.
Supervisor
Yanglong LU
Quota
2
Course type
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
1. Be familiar with the existing 3D bioprinter
2. Test the performance of existing 3D bioprinter
3. Modify the existing 3D bioprinter such as nozzles, monitoring system, and control system.
2. Test the performance of existing 3D bioprinter
3. Modify the existing 3D bioprinter such as nozzles, monitoring system, and control system.
Applicant's Learning Objectives
1. The applicant will be able to identify research problems and solve challenging questions.
2. The applicant will be able to work collaboratively and think independently.
3. The applicant will be familiar with machine learning, CAD, and 3D printing.
2. The applicant will be able to work collaboratively and think independently.
3. The applicant will be familiar with machine learning, CAD, and 3D printing.
Complexity of the project
Moderate