开发用于假牙材料耐磨性能的预测算法
Anastasiia Grymak1, Mei Ting Tieh1, Alexander Hui Xiang Yang2
1Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, 310 Great King Street, Dunedin, 9016, New Zealand.
概括
3D打印假牙在经过48个月的模拟老化后表现出最低的磨损. 一个长短期记忆 (LSTM) 模型准确地预测了磨损,证明了减少牙科材料测试持续时间和样本数量的潜力.
科学领域:
- 材料科学 材料科学 材料科学
- 生物材料工程 生物材料工程
- 计算式牙科 计算式牙科
背景情况:
- 假牙经历磨损,影响长寿和功能.
- 评估像3D打印牙这样的新材料的耐磨性至关重要.
- 预测建模可以优化磨损测试协议.
研究的目的:
- 为了比较传统,CAD磨牙和3D打印假牙的耐磨性.
- 开发和验证长期短期记忆 (LSTM) 模型,用于预测假牙磨损.
- 评估AI在减少磨损测试时间和样本大小方面的潜力.
主要方法:
- 六种类型的假牙材料经过24个月和48个月的模拟磨损.
- 在受控条件下,使用通用测试机器测量了磨损.
- 训练了单个时间序列样本模型 (LSTM) 用不同的数据分割 (10-40%) 来预测磨损.
- 扫描电子显微镜 (SEM) 分析了材料表面的变化.
主要成果:
- 3D打印材料 (G5) 的磨损最少 (59 ± 35.71μm),而传统的PMMA与微填充剂 (G3) 的磨损最高 (303 ± 0.06μm) 在48个月后.
- 该LSTM模型使用30%的数据准确预测了长达48个月的磨损,根平均平方误差低至6.23μm.
- SEM揭示了塑料变形和破碎,表明了磨损数据中的潜在工件.
结论:
- 3D打印假牙与传统材料和CAD磨砂材料相比,显示出更高的耐磨性.
- 开发的LSTM模型成功预测了磨损,为AI驱动的磨损测试提供了概念验证.
- 这种方法可以显著减少牙科材料磨损评估所需的时间,成本和样本数量.
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