超声气体温度场重建算法研究  

Research on Reconstruction Algorithm of Ultrasonic Gas Temperature Field

作　　者：田家全 姜宏[1] 章翔峰[1] 韩文旭 TIAN Jia-quan;JIANG Hong;ZHANG Xiang-feng;HAN Wen-xu(School of Mechanical Engineering,XinJiang University,Urumqi 830047)

机构地区：[1]新疆大学机械工程学院,新疆乌鲁木齐830047

出　　处：《制造业自动化》2025年第3期149-155,共7页Manufacturing Automation

基　　金：新疆维吾尔自治区自然科学基金(2022D01A117)。

摘　　要：精确的温度场测量在工业领域十分重要,而超声温度层析成像具有广阔的应用前景和意义。为了提高重建温度场分布的精度,采用了两步温度场重建方法。首先,通过将元胞自动机(CA)与均衡优化器(EO)结合的方法求解低分辨率温度场。然后,采用双三次插值法来提高温度场分辨率,并通过一系列对比试验验证算法的性能。最后,利用数值仿真进行模拟,来验证算法实际的可行性。结果表明CAEO插值算法能够有效提高温度场重建精度,为温度场层析求解提供了一种新的解决方案。Accurate temperature field measurement is very important in the industrial field,and ultrasonic temperature tomography imaging has a broad application prospect and significance.In order to improve the accuracy of the reconstructed temperature field distribution,a two-step temperature field reconstruction method is used in this paper.First,the low-resolution temperature field is solved by combining a cellular automaton(CA)with an equilibrium optimizer(EO),and then an interpolation method is used to improve the temperature field resolution.In this paper,a series of comparison tests are used to verify the performance of the algorithm,and finally,numerical simulations are carried out using ansys simulation software to verify the practical feasibility of the algorithm.The results show that the CAEO algorithm is able to effectively improve the accuracy of the temperature field reconstruction,and provide a new solution for the temperature field laminar solving.

关 键 词：声学层析成像 温度场重建 均衡优化器 元胞自动机 数值模拟 

分 类 号：TB559[理学—物理] TK311[理学—声学]