Review of incomplete-angle background-oriented schlieren tomography
The three-dimensional measurement of unsteady flow has always been a research focus in fields such as aerospace,energy and environment,and combustion diagnostics.The background-oriented schlieren(BOS)technique has emerged as a novel method for measuring flow dynamics in the past two decades.It allows for the dynamic measurement of unsteady flow using just a camera and a background,offering advantages such as a wide field of view,high-frequency dynamics,cost-effectiveness,and ease of use.However,due to spatial and cost constraints,the available optical paths for BOS are limited,resulting in the sparse collection of background patterns within a restricted angle.This article provides a comprehensive overview of the current status and development of incomplete-angle BOS tomography.It begins by introducing the fundamental principles of BOS imaging and tomographic reconstruction,along with the measurement systems,while analyzing the current incomplete-angle issue encountered in BOS tomographic measurements.Furthermore,it reviews the algorithms for incomplete-angle BOS tomography developed in recent years and concludes by outlining prospects for the future advancement of BOS tomography.It is suggested that leveraging theories such as compressed sensing and other non-end-to-end deep learning approaches,along with rich prior information and other tomographic techniques,could offer new avenues for addressing the reconstruction challenges in the context of incomplete-angle BOS tomography.
background-oriented schlierentomographic techniquethree-dimensional reconstructionincomplete angleill-posed inverse problem
万方数据
维普
