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Application of ductility exhaustion based damage model to predict creep rupture time of grade 92 steel

Nasrul Azuan, Alang and N., Ab Razak (2019) Application of ductility exhaustion based damage model to predict creep rupture time of grade 92 steel. In: IOP Conference Series: Materials Science and Engineering, 6th International Conference on Applications and Design in Mechanical Engineering, 26-27 August 2019 , Pulau Pinang, Malaysia. pp. 1-7., 670 (012001). ISSN 1757-899X

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Abstract

To accurately predict the creep rupture time of notched bar becomes a challenge to academia and structural engineer due to complex stress-strain distribution around the notch throat. This paper presents a Finite Element (FE) simulation employing ductility exhaustion based damage model to predict creep rupture time of multiaxial notched bar Grade 92 steel. Three different notch acuity, ƞ = 2.5, 5.0 and 12.0 were simulated and the FE predicted rupture time was compared to the available experimental rupture data. The reduction of creep ductility due to geometrical constraint is considered during the simulation by employing the void growth model. Further reduction in ductility at long term period arise from internal microstructural changes or damage is also accounted. Furthermore, empirical-type exponential prediction model coupled with skeletal stresses is applied to provide upper/lower bounds for short and long term rupture data. It is found that the FE prediction agreed well with the experimental data. At short-term, notched bar ruptured is controlled by the von-Mises stress while at long-term the rupture is controlled by the maximum principal stress.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Finite Element (FE); Employing Ductility; Grade 92 Steel
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Mechanical & Manufacturing Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 22 Mar 2020 23:21
Last Modified: 22 Mar 2020 23:21
URI: http://umpir.ump.edu.my/id/eprint/26990
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