摘要
作者是伊利诺伊州香槟市机器人与机器学习每日新闻的新闻记者兼新闻编辑。自然材料李克骨、鸟羽毛和木材，尽管它们的建筑不规则，但对物理应力分布具有智能的方法。然而，应力调制与它们的结构之间的关系仍然难以捉摸。一项结合机器学习、优化、3D打印和应力实验的新研究使工程师们通过开发一种材料来复制人类骨骼的功能，用于骨科股骨修复，从而深入了解这些自然奇观。股骨骨折是人类的一种普遍损伤，在老年人中很普遍。断裂边缘使应力集中在裂纹尖端，增加了裂纹扩展的机会。传统的修复股骨骨折的方法通常需要外科手术，在骨折周围用螺钉固定金属板，这可能会导致松动、慢性疼痛和进一步的损伤。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – CHAMPAIGN, Ill. - Natural materials li ke bone, bird feathers and wood have an intelligent approach to physical stress distribution, despite their irregular architectures. However, the relationship b etween stress modulation and their structures has remained elusive. A new study that integrates machine learning, optimization, 3D printing and stress experimen ts allowed engineers to gain insight into these natural wonders by developing a material that replicates the functionalities of human bone for orthopedic femur restoration. Fractures of the femur, the long bone in the upper leg, are a widespread injury in humans and are prevalent among elderly individuals. The broken edges cause st ress to concentrate at the crack tip, increasing the chances that the fracture w ill lengthen. Conventional methods of repairing a fractured femur typically invo lve surgical procedures to attach a metal plate around the fracture with screws, which may cause loosening, chronic pain and further injury.
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