Stereoscopic imaging velocimetry for space material processing experiments

Yi Ge; Soyoung Stephen Cha

doi:10.1117/12.351287

6 July 1999 Stereoscopic imaging velocimetry for space material processing experiments

Yi Ge, Soyoung Stephen Cha

Proceedings Volume 3792, Materials Research in Low Gravity II; (1999) https://doi.org/10.1117/12.351287
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Measurement of 3D three-component velocity fields is of profound importance in microgravity fluid experiments including crystal growth, two-phase flows, and thermocapillary phenomena. Stereoscopic imaging velocimetry (SIV) is an optical nonintrusive technique for measuring gross-field flow, which is advantageous in system simplicity for building compact hardware and in software efficiency for continual near-real-time velocity monitoring. However, the challenge is how to increase spatial resolution, that is, marker particle density while maximizing data recovery rate. In this paper, the new SIV algorithms which utilize neural networks, are presented. Preliminary results from both simulating calculation and experiment show that the neural network algorithms offer very good potential for performance enhancement and has proven to be very useful for the SIV technique.

Citation Download Citation

Yi Ge and Soyoung Stephen Cha "Stereoscopic imaging velocimetry for space material processing experiments", Proc. SPIE 3792, Materials Research in Low Gravity II, (6 July 1999); https://doi.org/10.1117/12.351287

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