Jian Wang is an associate professor at the State Key Lab of Digital Manufacturing Equipment and Technology at Huazhong University of Science and Technology, China. His research includes 3D visual inspection and optical metrology of complex surfaces and interfaces. He received his B.Eng. in Precision Instrumentation from University of Science and Technology of China in 2008 and Ph.D. from the EPSRC Advanced Manufacturing Center at the University of Huddersfield, UK, in 2013. After that, he carried out postdoctoral research at the National Physical Laboratory. Since 2015 he has worked full-time at Huazhong University of Science and Technology. So far, he has led 2 National Natural Science Foundation projects and a provincial key R&D program, participated in an NSFC key project and a provincial major technical innovation project. He has authored over 40 papers in IEEE-ASME TMech, IEEE TIM, IJPEM-GT, Opt. Express, Precis. Eng., and applied for 17 national patents. He is a member of IEEE, IET, and the China Instrument and Control Society. He was awarded a 90th Anniversary Highlight paper of IOP MST in 2012, a 2021 Hubei Provincial Award for Scientific and Technological Advancement, and nominated to be an Emerging Leader by IOP STMP in 2021.
Title: High-accuracy/-speed freeform measurement based on areal structured light scanning and reverse engineering
Abstract: At present, with superior performance in mechanical/thermal dynamics and optical properties, the design and manufacturing of cross-scale freeform surface components such as special-shaped aircraft blades/blisks and aircraft hangers has become an important development direction of the advanced manufacturing industry. They result in a tremendous contradiction between measuring accuracy and speed, measuring resolution and range when using the state-of-art stylus coordinate measuring machines. To address the problem, we carried out a set of key technique researches, including a fringe projection structured light-based close-range surface sensing method, local scanning point-cloud stitching and fusion model, and large-scale point cloud sparse sampling and reconstruction theory. In particular, we focused on solving the two challenging issues of limited sensing accuracy and inadequate measurement efficiency of fringe projection structured light. Our initial application results on aero-engine turbine blades and automobile reducer housings show that the systematic measurement error of a single view system achieves <25um, within a frame acquisition time < 25ms.