Supporting data for "Integrated optimization design framework for metallic orthopedic devices with graded-density lattice microstructures"

My research project is to establish a integrated optimization design framework for metallic orthopedic devices with graded-density lattice microstructures. The framework can adjust the material density distribution in side common orthopedic devices such as femoral implant and spinal cage, so as to redistribute the stress distribution in bone tissue anc moderation bone degeneration problem. The frameworks consists of 3 parts: Firstly, a data-driven mechanical property homogenization system is established for anisotropic lattice microstructures. secondly, multi-scale topology optimization is conducted on femoral implant with anisotropic microstructures. Thirdly, topoloyg optimization is conducted on spinal cage with isotropic graded-density lattice microstructures.

The supporting data uploaded are corresponding to the framework structure. Folder1 (kernal) includes basic python Class files and program tool files shared by all 3 functional parts.

 Folder 2 (femur) includes the source codes, training samples, iteration files and output documents for Gaussian process machine learning and topology optimization, performance evaluation and model reconstruction of lattice femoral implants. Due to the upload file size limit, the source codes and training samples for lattice unit cell failure cirteria are saved in Folder 3 (failure) and source codes and iteration files of femoral implants are saved in Folder 4 (main_iteration).

Folder 5 (spine) includes source codes, iteration files and output documents for topology optimization, performance evaluation and model reconstruction of lattice spinal cage with non-eccentric, flexion, extension and lateral bending loading conditions. Due to the upload file size limit, the source codes and iteration files of non-eccentric and flexion cases are saved in Folder 6 (main_iteration_1) and the source codes and iteration files of extension and lateral bending cases are saved in Folder 7 (main_iteration_2).

Folder 8 (figure_table) includes all figures and tables appeared in the thesis draft. The soruce file of the figures and tables are recorded in the README.txt in the folder.

本研究项目旨在构建一套针对具有梯度密度晶格微观结构的金属骨科植入物的集成优化设计框架。该框架能够调整侧共骨科植入物（如股骨植入物和脊柱笼）的材料密度分布，从而重新分配骨骼组织中的应力分布，并缓解骨骼退化的难题。框架主要包括三个部分：首先，建立了一个基于数据驱动的各向异性晶格微观结构的力学性能均质化系统。其次，对具有各向异性微观结构的股骨植入物进行了多尺度拓扑优化。最后，对具有各向同性梯度密度晶格微观结构的脊柱笼进行了拓扑优化。

所上传的支持数据对应于框架结构。文件夹1（核心）包含由三个功能部分共享的基本Python类文件和程序工具文件。文件夹2（股骨）包含用于高斯过程机器学习、拓扑优化、性能评估和晶格股骨植入物模型重建的源代码、训练样本、迭代文件和输出文档。由于上传文件大小限制，晶格单元细胞失效标准的源代码和训练样本存储在文件夹3（失效）中，股骨植入物的源代码和迭代文件存储在文件夹4（主要迭代）。文件夹5（脊柱）包含用于拓扑优化、性能评估和晶格脊柱笼模型重建的源代码、迭代文件和输出文档，该脊柱笼承受非偏心、屈曲、伸展和横向弯曲加载条件。由于上传文件大小限制，非偏心和屈曲情况的源代码和迭代文件存储在文件夹6（主要迭代_1）中，伸展和横向弯曲情况的源代码和迭代文件存储在文件夹7（主要迭代_2）。文件夹8（图表）包含论文草案中出现的所有图表和表格，图表和表格的源文件记录在文件夹中的README.txt文件中。