MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.bioadv.2026.215127

Медицинская библиотека · Biomaterials advances · 2026

Multiscale structure-property relationships in additively manufactured load-bearing metallic implants.

Ramteke Sangharatna M, Kumar Anil, Rathod Avishkar, Berman Diana, Marian Max

СтатьяОбзорПеревод в очереди

Аннотация

The advancement of additive manufacturing (AM) has transformed the design and fabrication of biomedical implants, enabling complex, patient-specific geometries. However, clinical success depends on coupled mechanical and biological performance emerging from features spanning nano-, micro-, and macroscales. This review critically assesses multi-scale characterization methods, emphasizing how each level contributes to mechanical integrity, tribological reliability, and biological integration. A central premise is that, while AM does not directly resolve nanoscale features through geometric control as current AM resolutions are on the order of tens to hundreds of micrometres, the thermal gradients and cyclic reheating inherent to layer-wise fabrication profoundly influence nanoscale grain structure, phase distributions, and surface characteristics that cascade across length scales to determine implant performance. Furthermore, AM-fabricated surfaces serve as ideal substrates for post-process nanoscale engineering. Rather than treating characterization methods independently, this review integrates them within a consolidated processing-structure-property framework that clarifies how scale-specific features collectively determine clinically relevant outcomes such as stress shielding, wear-induced osteolysis, and long-term durability. By reframing multi-scale characterization as a driver for optimization rather than solely a diagnostic tool, we highlight practical routes to translating analytical insights into improved design strategies and process refinements. Finally, we identify key research needs beyond characterization, including in-situ process monitoring, machine learning-assisted multi-scale data fusion, predictive computational models, standardized bio-relevant testing protocols, and functionally graded implant architectures. These concerted efforts will enable predictive design, standardized evaluation, and accelerated clinical translation of AM bioimplants with enhanced longevity, reliability, and biological integration.

Для цитирования: Ramteke Sangharatna M, Kumar Anil, Rathod Avishkar, Berman Diana, Marian Max. Multiscale structure-property relationships in additively manufactured load-bearing metallic implants.. Biomaterials advances. 2026. DOI: 10.1016/j.bioadv.2026.215127.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.