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Core Facility for non-destructive volume characterization for the production of tailor-made hierarchically structured high-performance materials

Core Facility for non-destructive volume characterization for the production of tailor-made hierarchically structured high-performance materials
用于生产定制的分层结构高性能材料的无损体积表征核心设施
批准号:
514139667
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Major Instrumentation Initiatives
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

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中文摘要
翻译
罗伊特林根大学空间分辨分析的扩展旨在长期加强该大学在“生物医学科学”和“技术材料”领域的材料科学研究领域,并提高功能材料和生物材料的生产和性能以及计算机辅助材料设计和模拟的研究能力。特别是,将促进以3D打印、湿敷和溶胶-凝胶技术等横截面技术为基础的知识型研究。此次收购将直接作为重要的分析工具用于以下主题的研究项目:(1)通过3D打印聚合物块体材料的密度变化实现高机械强度和良好的阻尼行为,用于生物材料,如膝关节垫片植入物;(2)用于骨替代材料的泡沫和3D打印多孔聚合物基质系统的空隙结构设计;(3)使用基于μ-CT的建模优化3D打印细胞组织的血管化行为和体外皮肤组织模型的无损监测;(4)通过μ-CT生成的3D打印生物力学结构的几何数据建模和仿真听力和耳植入物;(5)开发具有定制3D结构的基于非织造布的新型高性能陶瓷材料:(6)模拟多孔纤维结构的渗透行为,以开发具有优化性能的天然纤维基生物复合材料;(7)基于功能性纳米粒子和微米粒子改性的纤维材料的层次结构的制造;(8)模拟加工条件对金属材料的微观结构和材料性能的影响。
英文摘要
This expansion of spatially resolved analytics at Reutlingen University is intended to strengthen the university´s materials science-oriented research areas in the fields of "Biomedical Sciences" and "Technical Materials" in the long term and to improve the research competence with regard to the production and properties of functional materials and biomaterials as well as computer-aided materials design and simulation. In particular, the knowledge-oriented research based on the cross-sectional technologies 3D-printing, wet lay-up and sol-gel technology will be promoted. The acquisition will be used as important analytical tool directly in research projects on the following topics: (1) Realization of high mechanical strengths and good damping behavior via density variation in 3D-printed polymeric bulk materials for biomaterials such as knee spacer implants; (2) Design of void structure of foams and 3D printed porous polymer matrix systems for bone replacement materials; (3) Optimization of vascularization behavior of 3D-printed cellular tissue and non-destructive monitoring of in vitro skin tissue models using μ-CT based modeling; (4) Modeling and simulation of hearing and ear implants via μ-CT-generated geometry data of 3D-printed biomechanical structures; (5) Development of new high-performance ceramic materials based on nonwovens with tailored 3D structure; (6) Modeling of the infiltration behavior of porous fiber structures for the development of natural fiber-based biocomposites with optimized properties; (7) Fabrication of hierarchical structures based on fiber materials modified with functional nano- and microparticles for technical textiles; (8) Modeling of the influence of processing conditions on the microstructure and material properties of metallic materials.
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