Chameekara T. Wanniarachchi , Arun Arjunan , Ahmad Baroutaji , Manpreet Singh
{"title":"3D打印定制硬度匹配的超生物材料,具有接近零的auxecity,用于承重组织修复","authors":"Chameekara T. Wanniarachchi , Arun Arjunan , Ahmad Baroutaji , Manpreet Singh","doi":"10.1016/j.bprint.2023.e00292","DOIUrl":null,"url":null,"abstract":"<div><p>The evolution of meta-biomaterials has opened up exciting new opportunities for mass personalisation of biomedical devices. This research paper details the development of a CoCrMo meta-biomaterial structure that facilitates personalised stiffness-matching while also exhibiting near-zero auxeticity. Using laser powder bed fusion, the porous architecture of the meta-biomaterial was characterised, showing potential for near-zero Poisson's ratio. The study also introduces a novel surrogate model that can predict the porosity (<span><math><mrow><mi>φ</mi></mrow></math></span>), yield strength (<span><math><mrow><msub><mi>σ</mi><mi>y</mi></msub></mrow></math></span>), elastic modulus (<span><math><mrow><mi>E</mi></mrow></math></span>), and negative Poisson's ratio (<span><math><mrow><mo>−</mo><mi>υ</mi></mrow></math></span>) of the meta-biomaterial, which was achieved through prototype testing and numerical modelling. The model was then used to inform a multi-criteria desirability objective, revealing an optimum near-zero <span><math><mrow><mo>−</mo><mi>υ</mi></mrow></math></span> of −0.037, with a targeted stiffness of 17.21 GPa. Parametric analysis of the meta-biomaterial showed that it exhibited <span><math><mrow><mo>−</mo><mi>υ</mi></mrow></math></span>, <span><math><mrow><mi>φ</mi></mrow></math></span>, <span><math><mrow><msub><mi>σ</mi><mi>y</mi></msub></mrow></math></span> and <span><math><mrow><mi>E</mi></mrow></math></span> values ranging from −0.02 to −0.08, 73.63–81.38%, 41–64 MPa, and 9.46–20.6 GPa, respectively. In this study, a surrogate model was developed for the purpose of generating personalised scenarios for the production of bone scaffolds. By utilising this model, it was possible to achieve near-zero <span><math><mrow><mo>−</mo><mi>υ</mi></mrow></math></span> and targeted stiffness personalisation. This breakthrough has significant implications for the field of bone tissue engineering and could pave the way for improved patient outcomes. The presented methodology is a powerful tool for the development of biomaterials and biomedical devices that can be 3D printed on demand for load-bearing tissue reconstruction. It has the potential to facilitate the creation of highly tailored and effective treatments for various conditions and injuries, ultimately enhancing patient outcomes.</p></div>","PeriodicalId":37770,"journal":{"name":"Bioprinting","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"3D printing customised stiffness-matched meta-biomaterial with near-zero auxeticity for load-bearing tissue repair\",\"authors\":\"Chameekara T. Wanniarachchi , Arun Arjunan , Ahmad Baroutaji , Manpreet Singh\",\"doi\":\"10.1016/j.bprint.2023.e00292\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The evolution of meta-biomaterials has opened up exciting new opportunities for mass personalisation of biomedical devices. This research paper details the development of a CoCrMo meta-biomaterial structure that facilitates personalised stiffness-matching while also exhibiting near-zero auxeticity. Using laser powder bed fusion, the porous architecture of the meta-biomaterial was characterised, showing potential for near-zero Poisson's ratio. The study also introduces a novel surrogate model that can predict the porosity (<span><math><mrow><mi>φ</mi></mrow></math></span>), yield strength (<span><math><mrow><msub><mi>σ</mi><mi>y</mi></msub></mrow></math></span>), elastic modulus (<span><math><mrow><mi>E</mi></mrow></math></span>), and negative Poisson's ratio (<span><math><mrow><mo>−</mo><mi>υ</mi></mrow></math></span>) of the meta-biomaterial, which was achieved through prototype testing and numerical modelling. The model was then used to inform a multi-criteria desirability objective, revealing an optimum near-zero <span><math><mrow><mo>−</mo><mi>υ</mi></mrow></math></span> of −0.037, with a targeted stiffness of 17.21 GPa. Parametric analysis of the meta-biomaterial showed that it exhibited <span><math><mrow><mo>−</mo><mi>υ</mi></mrow></math></span>, <span><math><mrow><mi>φ</mi></mrow></math></span>, <span><math><mrow><msub><mi>σ</mi><mi>y</mi></msub></mrow></math></span> and <span><math><mrow><mi>E</mi></mrow></math></span> values ranging from −0.02 to −0.08, 73.63–81.38%, 41–64 MPa, and 9.46–20.6 GPa, respectively. In this study, a surrogate model was developed for the purpose of generating personalised scenarios for the production of bone scaffolds. By utilising this model, it was possible to achieve near-zero <span><math><mrow><mo>−</mo><mi>υ</mi></mrow></math></span> and targeted stiffness personalisation. This breakthrough has significant implications for the field of bone tissue engineering and could pave the way for improved patient outcomes. The presented methodology is a powerful tool for the development of biomaterials and biomedical devices that can be 3D printed on demand for load-bearing tissue reconstruction. It has the potential to facilitate the creation of highly tailored and effective treatments for various conditions and injuries, ultimately enhancing patient outcomes.</p></div>\",\"PeriodicalId\":37770,\"journal\":{\"name\":\"Bioprinting\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioprinting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405886623000350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioprinting","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405886623000350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
3D printing customised stiffness-matched meta-biomaterial with near-zero auxeticity for load-bearing tissue repair
The evolution of meta-biomaterials has opened up exciting new opportunities for mass personalisation of biomedical devices. This research paper details the development of a CoCrMo meta-biomaterial structure that facilitates personalised stiffness-matching while also exhibiting near-zero auxeticity. Using laser powder bed fusion, the porous architecture of the meta-biomaterial was characterised, showing potential for near-zero Poisson's ratio. The study also introduces a novel surrogate model that can predict the porosity (), yield strength (), elastic modulus (), and negative Poisson's ratio () of the meta-biomaterial, which was achieved through prototype testing and numerical modelling. The model was then used to inform a multi-criteria desirability objective, revealing an optimum near-zero of −0.037, with a targeted stiffness of 17.21 GPa. Parametric analysis of the meta-biomaterial showed that it exhibited , , and values ranging from −0.02 to −0.08, 73.63–81.38%, 41–64 MPa, and 9.46–20.6 GPa, respectively. In this study, a surrogate model was developed for the purpose of generating personalised scenarios for the production of bone scaffolds. By utilising this model, it was possible to achieve near-zero and targeted stiffness personalisation. This breakthrough has significant implications for the field of bone tissue engineering and could pave the way for improved patient outcomes. The presented methodology is a powerful tool for the development of biomaterials and biomedical devices that can be 3D printed on demand for load-bearing tissue reconstruction. It has the potential to facilitate the creation of highly tailored and effective treatments for various conditions and injuries, ultimately enhancing patient outcomes.
期刊介绍:
Bioprinting is a broad-spectrum, multidisciplinary journal that covers all aspects of 3D fabrication technology involving biological tissues, organs and cells for medical and biotechnology applications. Topics covered include nanomaterials, biomaterials, scaffolds, 3D printing technology, imaging and CAD/CAM software and hardware, post-printing bioreactor maturation, cell and biological factor patterning, biofabrication, tissue engineering and other applications of 3D bioprinting technology. Bioprinting publishes research reports describing novel results with high clinical significance in all areas of 3D bioprinting research. Bioprinting issues contain a wide variety of review and analysis articles covering topics relevant to 3D bioprinting ranging from basic biological, material and technical advances to pre-clinical and clinical applications of 3D bioprinting.