{
"title": "Tuning of Thermal FEA Using Krylov Parametric MOR for Subsea Application",
"authors": "A. Suleng, T. Jelstad Olsen, J. \u0160indler, P. B\u00e1rta",
"country": null,
"institution": null,
"volume": "77",
"journal": "International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering",
"pagesStart": 834,
"pagesEnd": 842,
"ISSN": "1307-6892",
"URL": "http:\/\/waset.org\/publications\/13547",
"abstract": "A dead leg is a typical subsea production system\r\ncomponent. CFD is required to model heat transfer within the dead\r\nleg. Unfortunately its solution is time demanding and thus not\r\nsuitable for fast prediction or repeated simulations. Therefore there is\r\na need to create a thermal FEA model, mimicking the heat flows and\r\ntemperatures seen in CFD cool down simulations.\r\nThis paper describes the conventional way of tuning and a new\r\nautomated way using parametric model order reduction (PMOR)\r\ntogether with an optimization algorithm. The tuned FE analyses\r\nreplicate the steady state CFD parameters within a maximum error in\r\nheat flow of 6 % and 3 % using manual and PMOR method\r\nrespectively. During cool down, the relative error of the tuned FEA\r\nmodels with respect to temperature is below 5% comparing to the\r\nCFD. In addition, the PMOR method obtained the correct FEA setup\r\nfive times faster than the manually tuned FEA.",
"references": null,
"publisher": "World Academy of Science, Engineering and Technology",
"index": "International Science Index 77, 2013"
}