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使用基于贝叶斯优化算法的回归方法测量薄膜的平面内热扩散率
Maochao Lv1, Qinmeng Jiang2, Hui Liu1
1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221008, China.
The Review of scientific instruments
|August 7, 2025
概括
这项研究引入了一种新的贝叶斯优化方法,用于测量薄膜热扩散率. 它通过直接分析热图像来绕过复杂的红外摄像头,提供了更简单,更强大的特征技术.
科学领域:
- 材料科学 材料科学 材料科学
- 热物理 热物理
- 纳米技术 纳米技术
背景情况:
- 锁定温度计是确定片热性质的标准方法.
- 在锁定温度学中,高相位检测精度往往需要先进的红外 (IR) 摄像头.
- 传统方法将振幅和相位视为中间值,需要复杂的算法.
研究的目的:
- 开发使用贝叶斯优化的回归方法来确定薄膜的平面内热扩散率.
- 为传统锁定算法提供一种替代方案,该算法直接使用时间序列温度图.
- 为了减少对准确热性质表征的系统要求.
主要方法:
- 提出了一个基于贝叶斯优化的回归方法.
- 该方法直接将时间序列温度图纳入回归过程中,绕过中间振幅和相位计算.
- 通过将测量和模拟的正常化温度之间的平均绝对误差最小化来提取热扩散率和相位偏移.
主要成果:
- 精确的平面内热扩散率是通过每个调制周期仅使用几次温度图来确定的.
- 该方法在不钢薄膜上得到验证,显示出强大的性能.
- 与传统方法相比,这种方法显示了系统要求的减少.
结论:
- 提出的贝叶斯优化方法为确定薄膜热扩散率提供了一个可行的和强大的替代方案.
- 这种方法简化了实验设置,因为不需要复杂的红外摄像头来实现高相位精度.
- 该技术显示出对复杂材料,如复合膜和先进的热接口材料的特征有前途.
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