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| 面向3D打印的聚合物非均质材料参数反演（实验力学反问题专辑） |
| Estimating the elastic modulus of 3D printed polymers by inverse approach |
| 投稿时间：2024-12-02 修订日期：2025-03-02 |
| DOI： |
| 中文关键词: 反演问题 有限元更新法 无损检测 增材制造 数字体图像相关方法 |
| 英文关键词:Inverse Problem Finite Element Model Updating Nondestructive Testing Additive Manufacturing Digital Volume Correlation |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| 中文摘要: |
| 目前，3D打印的聚合物被广泛应用于航空航天、生物医学等领域，在现代工业中有着至关重要的作用。受工艺参数波动和环境干扰等因素影响，3D打印过程中易产生孔隙、层间结合不良等缺陷，进而引发构件内部材料沉积均匀性下降问题。针对这一问题，本文提出一种基于优化的非均质材料参数反演的方法，并且基于3D打印物体的结构特征对反演算法进行改进，从而实现对3D打印缺陷的识别。本文利用该方法对3D打印物体的模拟算例进行反演，在测量位移场加入3%随机噪声下的反演结果误差仍能保持在2.1%以下，验证了方法的可行性及鲁棒性；利用实验测量的位移场对3D打印的真实物体进行反演，重建了被测物体的等效剪切模量和相对剪切模量分布，等效剪切模量重建结果相对参考值误差26.79%，表明该方法对复杂结构力学性能评估具有工程适用性。 |
| 英文摘要: |
| Polymer additive manufacturing has emerged as a critical technology in aerospace, biomedical, and modern industrial applications. However, process parameter variations and environmental disturbances frequently induce defect formation during fabrication, including porosity and interlayer bonding deficiencies, consequently compromising material deposition homogeneity within printed components. To address this challenge, this study develops an optimized inverse identification framework for heterogeneous material parameters, incorporating structural feature-informed algorithm modifications specifically designed for 3D-printed architectures to enable defect identification. Numerical simulations demonstrate the method's robustness, maintaining reconstruction errors below 2.1% when processing displacement fields contaminated with 3% Gaussian noise. Experimental validation through full-field displacement measurements successfully reconstructed both equivalent and relative shear modulus distributions in printed specimens. The reconstructed equivalent shear modulus showed a 26.79% deviation from reference benchmarks, confirming the method's engineering applicability for mechanical property assessment of complex printed structures. |
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