Influence of y' precipitate-size and distribution on LCF behavior of a PM disk superalloy

Autor: Boittin, Guylaine, Locq, D., Rafray, A., Caron, P., KANOUTE, Pascale, Gallerneau, F., Cailletaud, Georges
Přispěvatelé: ONERA - The French Aerospace Lab [Palaiseau], ONERA-Université Paris Saclay (COmUE), Centre des Matériaux (MAT), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), ed. E.S. Huron, R.C. Reed, M.C. Hardy et al
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Superalloys 2012
Superalloys 2012 ; 12th international symposium on superalloys
Superalloys 2012 ; 12th international symposium on superalloys, Sep 2012, Seven Springs, United States. pp.167-176
Popis: International audience; The influence of γ' precipitate distribution on tensile and low cycle fatigue (LCF) behaviors of a powder metallurgy (PM) disk superalloy was investigated at 450°C. Four γ' particle distributions were obtained through various cooling paths and/or aging treatments in coarse grain size superalloy N18. The mechanical tests show that the main influence of the intragranular microstructure concerns the 0.2% yield stress (0.2%YS) and the ultimate tensile stress. Wide variations of the 0.2%YS affect the mean stress under non symmetrical loading but have only little effect on fatigue life, the lower the 0.2%YS, the longer the fatigue life. The fatigue life of N18 at 450°C is independent of the intragranular microstructure as long as the mean stress effect is correctly taken into account. As expected with the coarse grain size N18, no crack initiation at pores or inclusions was observed. A precipitation model was coupled with a critical resolved shear stress calculation providing 0.2%YS value for a given heat treatment sequence. Finally, this computation procedure was implemented in a numerical modeling of the LCF life of a disk taking into account the heat treatment applied to its wrought preform.
Databáze: OpenAIRE