Various 3D printing materials with different nozzle design in biomedical area

Tianyi Xu

doi:10.1117/12.2639465

27 June 2022 Various 3D printing materials with different nozzle design in biomedical area

Tianyi Xu

Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 122531P (2022) https://doi.org/10.1117/12.2639465
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China

Abstract

Three-dimensional (3D) printing is now becoming a huge discipline and has innovated the manufacturing method in biomedical engineering over these years. By applying this 3D printing technique, more biomedical products (such as surgical implants, orthopedics products and anatomical models) can be produced more accurately, efficiently, and economically. In this study, we will simulate the 3D printing process of one sample of bone tissue and another sample of anatomical model in virtual environment. We found that the mechanical properties is still largely determined by the choice of biomaterials and will not change significantly through the 3D printing process. By comparing printing time, yield strength of the products and other mechanical properties, we found that the material is still the determining factor of the mechanical properties of the product while different nozzle design and multi-material combinations can also influence the biomedical 3D printing process. The nozzle diameter will determine the 3D printing speed and the smoothness of surface texture. By choosing the material combinations that have better chemical affinity, the biomedical 3D printing products have better mechanical properties and less likely to fail. By applying this study, we can develop methods to optimize biomedical 3D printing process through picking different materials and different nozzle design.

Citation Download Citation

Tianyi Xu "Various 3D printing materials with different nozzle design in biomedical area", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 122531P (27 June 2022); https://doi.org/10.1117/12.2639465

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