Data-Driven Design and Additive Manufacturing of Patient-Specific Lattice Titanium Scaffolds for Mandibular Bone Reconstruction.

IF 5.2 3区 医学 Q1 ENGINEERING, BIOMEDICAL
Nail Beisekenov, Bagdat Azamatov, Marzhan Sadenova, Dmitriy Dogadkin, Daniyar Kaliyev, Sergey Rudenko, Boris Syrnev
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引用次数: 0

Abstract

The reconstruction of segmental bone defects requires patient-specific scaffolds that combine mechanical safety, biological functionality, and rapid manufacturing. We converted CT-derived mandibular geometry into a functionally graded Ti-6Al-4V lattice and optimised porosity, screw layout, and strut thickness through a cyber-physical loop that joins high-fidelity FEM, millisecond ANN, and a BN for uncertainty quantification. Fifteen candidate scaffolds were fabricated by direct metal laser sintering and hot isostatic pressing and were mechanically tested. FEM predicted stress and stiffness with 98% accuracy; the ANN reproduced these outputs with 94% fidelity while evaluating 10,000 designs in real time, and the BN limited failure probability to <3% under worst-case loads. The selected 55-65% porosity design reduced titanium use by 15%, shortened development time by 25% and raised multi-objective optimisation efficiency by 20% relative to a solid-plate baseline, while resisting a 600 N bite with a peak von Mises stress of 225 MPa and micromotion < 150 µm. Integrating physics-based simulation, AI speed, and probabilistic rigour yields a validated, additively manufactured scaffold that meets surgical timelines and biomechanical requirements, offering a transferable blueprint for functional scaffolds in bone and joint surgery.

数据驱动设计和增材制造患者特异性点阵钛支架下颌骨重建。
节段性骨缺损的重建需要结合机械安全性、生物功能性和快速制造的患者特异性支架。我们将ct衍生的下颌几何形状转换为功能分级的Ti-6Al-4V晶格,并通过将高保真FEM、毫秒人工神经网络和BN结合起来进行不确定性量化的网络物理回路,优化孔隙度、螺钉布局和支柱厚度。采用直接金属激光烧结和热等静压法制备了15个候选支架,并进行了力学性能测试。有限元法预测应力和刚度精度达98%;在实时评估10,000个设计时,人工神经网络以94%的保真度再现了这些输出,并且BN将故障概率限制在
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来源期刊
Journal of Functional Biomaterials
Journal of Functional Biomaterials Engineering-Biomedical Engineering
CiteScore
4.60
自引率
4.20%
发文量
226
审稿时长
11 weeks
期刊介绍: Journal of Functional Biomaterials (JFB, ISSN 2079-4983) is an international and interdisciplinary scientific journal that publishes regular research papers (articles), reviews and short communications about applications of materials for biomedical use. JFB covers subjects from chemistry, pharmacy, biology, physics over to engineering. The journal focuses on the preparation, performance and use of functional biomaterials in biomedical devices and their behaviour in physiological environments. Our aim is to encourage scientists to publish their results in as much detail as possible. Therefore, there is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Several topical special issues will be published. Scope: adhesion, adsorption, biocompatibility, biohybrid materials, bio-inert materials, biomaterials, biomedical devices, biomimetic materials, bone repair, cardiovascular devices, ceramics, composite materials, dental implants, dental materials, drug delivery systems, functional biopolymers, glasses, hyper branched polymers, molecularly imprinted polymers (MIPs), nanomedicine, nanoparticles, nanotechnology, natural materials, self-assembly smart materials, stimuli responsive materials, surface modification, tissue devices, tissue engineering, tissue-derived materials, urological devices.
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