题目：Laser Absorption Tomography for Aero-engine Combustion Diagnosis
时间：2026年7月24日 15:00-16:30
地点：威尼斯9499登录入口 F201会议室
邀请人：许世杰 副教授（叶轮机械研究所）
Biography
Chang Liu is currently a Senior Lecturer with research interests include NIR/MIR laser spectroscopy, optical imaging techniques, AI-enhanced flow-field measurement, and their applications to flow-field and aero-engine combustion diagnosis. He is the Principal Investigator at The University of Edinburgh for EPSRC Programme Grant, Scottish Government Proof-of-Concept Fund, and Royal Society International Exchange Programme. He also serves as the Principal Scientific Advisor for Innovate UK technology transfer programmes. His work has received extensive recognition and support from the aerospace and energy industries, including Rolls-Royce, Siemens Energy, and Shell. He is the Associate Editor for the Measurement journal. He is IEEE Senior Member, IEEE Instrumentation and Measurement Distinguished Lecturer, Fellow of Higher Education Academy and Data Driven Innovation Fellow.
Abstract
Laser Absorption Tomography (LAT) operates similarly to a medical CT scan but uses laser beams to reconstruct one-, two-, or three-dimensional distributions of gas-state parameters, such as temperature, species concentration, velocity, and pressure, in reactive flows. As a cost-effective tool for multi-parameter imaging, LAT offers unique advantages in terms of fast response and high sensitivity, enabling deeper insight into the reaction mechanisms and kinetics of reactive flows. To meet the growing demand for aero-engine diagnostics under harsh conditions, Dr. Chang Liu and his team have developed a series of LAT sensors and instruments aimed at enhancing the spatial and temporal resolution of reactive-flow imaging, as well as improving robustness and portability for practical applications. The developed LAT systems have been successfully applied across a range of combustion scenarios, from small-scale swirl burners to pilot- and full-scale aero engines. These systems enable the retrieval of spatiotemporally resolved gas-state distributions, facilitating a better understanding of thermal processes in complex and turbulent flow fields.
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