3D printing technique has been considered as a new industrial revolution because it has led to the flexible and rapid production of highly customized free-form structure without spending time and cost to modify or organize manufacturing tools and proc...
3D printing technique has been considered as a new industrial revolution because it has led to the flexible and rapid production of highly customized free-form structure without spending time and cost to modify or organize manufacturing tools and process. Possessing above-mentioned advantages, 3D printing is having a tremendous impact on tissue engineering and medical fields. 3D printing enables not only the production of implants well aligned with individual patient’s unique anatomy and defect, but also engineering design and fabrication of scaffold for tissue regeneration.
Production of personalized products and complex structures using 3D printing is fundamentally facilitated with a help of advanced design and measurement tools of computer-aided design and manufacturing (CAD/CAM) system, which briefly includes designing of the 3D model with controlled interior and exterior scaffold structure using CAD tools, and transferring the model into the 3D printing machine via printing path generation algorithm. One of the major approaches to obtain 3D model is the use of powerful 3D modelling tools of commercial CAD software, but the printing path generation algorithm should be different according to scaffold design, the specific target tissue, and the 3D printing apparatus.
Herein, we developed algorithms to control previously and newly developed 3D printing systems for various tissue engineering and clinical applications assisted with CAD/CAM technology, and demonstrated efficient procedures for constructs engineering based on the achievements. The Computerized Numerical Control (CNC) code generated by the developed algorithms with 3D CAD model information and user-input parameters were transferred into 3D printing systems. The algorithms with 3D printing systems facilitated design and optimization of pore architectures, clinical applications to repair two patients with an arhinia and a depressed malar region, and production of cell-laden constructs with the desired shape. These results indicated that we could now address difficult challenges, including customized interior and exterior architecture, cell positioning into 3D structure, and heterogeneous and large volume tissue printing with choosing or modifying an appropriate algorithm, 3D printing system and CAD/CAM procedure.