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Researchers heal broken bones with 3D printing

The University of Illinois Urbana-Champaign study integrated machine learning, optimization, 3D printing, and stress experiments to mimic human bone functionality for orthopedic femur restoration

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According to the University of Illinois Urbana-Champaign, natural materials like bone, bird feathers, and wood have an intelligent approach to physical stress distribution, despite their irregular architectures. However, the relationship between stress modulation and their structures has remained elusive. A new study that integrates machine learning, optimization, 3D printing, and stress experiments has allowed engineers to gain insight into these natural wonders by developing a material that replicates the functionalities of human bone for orthopedic femur restoration.

University of Illinois Urbana-Champaign researchers heal broken bones using machine learning, optimization, and 3D printing.
Photo credit: Fred Zwicky/ University of Illinois Urbana-Champaign.

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 stress to concentrate at the crack tip – increasing the chances that the fracture will lengthen. Conventional methods of repairing a fractured femur typically involve surgical procedures to attach a metal plate around the fracture with screws, which may cause loosening, chronic pain, and further injury.

The study, led by University of Illinois Urbana-Champaign civil and environmental engineering professor Shelly Zhang and graduate student Yingqi Jia, in collaboration with professor Ke Liu from Peking University, introduces a new approach to orthopedic repair that uses a fully controllable computational framework to produce a material that mimics bone.

The study findings are published in the journal Nature Communications.

“We started with materials database and used a virtual growth stimulator and machine learning algorithms to generate a virtual material, then learn the relationship between its structure and physical properties,” said Zhang. “What separates this work from past studies is that we took things a step further by developing a computational optimization algorithm to maximize both the architecture and stress distribution we can control.”

In the lab, Zhang’s team used 3D printing to fabricate a full-scale resin bone prototype of the new bio-inspired material and attached it to a synthetic model of a fractured human femur. “Having a tangible model allowed us to run real-world measurements, test its efficacy, and confirm that it is possible to grow a synthetic material in a way analogous to how biological systems are built,” said Zhang. “We envision this work helping to build materials that will stimulate bone repair by providing optimized support and protection from external forces.”

Zhang said this technique can be applied to various biological implants wherever stress manipulation is needed. “The method itself is quite general and can be applied to different types of materials such like metals, polymers – virtually any type of material,” said Zhang. “The key is the geometry, local architecture, and the corresponding mechanical properties, making applications almost endless.”

The David C. Crawford Faculty Scholar Award from the University of Illinois Urbana-Champaign supported this research.

Zhang also is affiliated with Mechanical Science and Engineering and the National Center for Supercomputing Applications at Illinois.

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Edward Wakefield

Edward is a freelance writer and additive manufacturing enthusiast looking to make AM more accessible and understandable.

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