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基于表面测温的边界形状识别算法研究是红外无损检测技术从定性到定量发展的理论基础,同时也是传热反问题研究的一个重点也是难点问题。对于交界面形状的识别,常规的边界识别算法,由于交界面要在迭代过程中不断变化,所以计算相对复杂,不利于算法的实际应用。在原有边界形状识别研究工作的基础上,通过将交界面形状的识别问题转化为有效导热系数的分布问题,将计算温度和检测温度的吻合程度作为判别条件,利用改进的一维修正算法反演识别有效导热系数的分布,再转化为真实的交界面形状。数值实验表明该方法大大降低了交界面形状识别的复杂性,是解决交界面形状识别问题的行之有效的计算方法。
The research on the boundary shape recognition algorithm based on surface temperature measurement is the theoretical basis of the infrared non-destructive testing technology from qualitative to quantitative development. It is also an important and difficult problem in the research of inverse heat transfer problem. For the recognition of the interface shape, the conventional boundary recognition algorithm is relatively complicated and not conducive to the practical application of the algorithm because the interface needs to be constantly changing during the iteration process. Based on the original research of boundary shape recognition, by transforming the interface shape recognition problem into the effective thermal conductivity distribution problem, the coincidence between the calculated temperature and the detected temperature is used as the discrimination condition, and the improved one-dimensional correction algorithm is used to inverse Identify the distribution of effective thermal conductivity, and then into a real interface shape. Numerical experiments show that this method can greatly reduce the complexity of interface shape recognition and is an effective method to solve the interface shape recognition problem.