The present work is aimed to determine the mechanical behaviour in hot condition (range 600-1200°C) of a super duplex stainless steel (SAF 2507) for applications in the Oil&Gas field (highly corrosive environments). A wide experimental activity (both tensile and creep tests) was carried out using the Gleeble system, using experimental settings able to make the test robust and replicable. In order to evaluate the constant parameters able to model the material behaviour according to the Norton equation, experimental conditions (in terms of temperature and applied stress) were designed: the Response Surface Methodology (RSM) and a subsequent double multi objective optimization were implemented within an integration platform. Finally, using Visual Basic routines model constants were evaluated and/or refined, thus being able to optimally fit real strain –time curves, also in the primary creep stage.
EVALUATION OF THE CREEP BEHAVIOUR OF A SUPER DUPLEX STAINLESS STEEL FOR OIL AND GAS APPLICATIONS / Palumbo, Gianfranco; Guglielmi, P.; Piccininni, A.; Piglionico, V.; Sorgente, Donato; Scintilla, L. D.; Tricarico, Luigi. - (2014). (Intervento presentato al convegno ECCC2014 tenutosi a Roma nel 5-7 Maggio 2014).
EVALUATION OF THE CREEP BEHAVIOUR OF A SUPER DUPLEX STAINLESS STEEL FOR OIL AND GAS APPLICATIONS
PALUMBO, Gianfranco;P. Guglielmi;SORGENTE, Donato;TRICARICO, Luigi
2014-01-01
Abstract
The present work is aimed to determine the mechanical behaviour in hot condition (range 600-1200°C) of a super duplex stainless steel (SAF 2507) for applications in the Oil&Gas field (highly corrosive environments). A wide experimental activity (both tensile and creep tests) was carried out using the Gleeble system, using experimental settings able to make the test robust and replicable. In order to evaluate the constant parameters able to model the material behaviour according to the Norton equation, experimental conditions (in terms of temperature and applied stress) were designed: the Response Surface Methodology (RSM) and a subsequent double multi objective optimization were implemented within an integration platform. Finally, using Visual Basic routines model constants were evaluated and/or refined, thus being able to optimally fit real strain –time curves, also in the primary creep stage.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
