Physics based model for online fault detection in autonomous cryogenic loading system | Zendy

Ali Kashani | Zendy; Ekaterina Ponizhovskaya | Zendy; D. G. Luchinsky | Zendy; Vadim Smelyanskiy | Zendy; Jared Sass | Zendy; Barbara Brown | Zendy; A. Patterson-Hine | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Physics based model for online fault detection in autonomous cryogenic loading system

Author(s) -

Ali Kashani,

Ekaterina Ponizhovskaya,

D. G. Luchinsky,

Vadim Smelyanskiy,

Jared Sass,

Barbara Brown,

A. Patterson-Hine

Publication year - 2014

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.4860857

Subject(s) - software , interphase , cryogenics , physics , mechanics , simulation , aerospace engineering , computer science , engineering , genetics , quantum mechanics , biology , programming language

We report the progress in the development of the chilldown model for a rapid cryogenic loading system developed at NASA-Kennedy Space Center. The nontrivial characteristic feature of the analyzed chilldown regime is its active control by dump valves. The two-phase flow model of the chilldown is approximated as one-dimensional homogeneous fluid flow with no slip condition for the interphase velocity. The model is built using commercial SINDA/FLUINT software. The results of numerical predictions are in good agreement with the experimental time traces. The obtained results pave the way to the application of the SINDA/FLUINT model as a verification tool for the design and algorithm development required for autonomous loading operation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research