Delft University of Technology
A Computational Design Study of Self-healing Creep Resistant Steels
Fu, Yifan; van Dijk, Niels; van der Zwaag, Sybrand Publication date
2018
Document Version Final published version
Citation (APA)
Fu, Y., van Dijk, N., & van der Zwaag, S. (2018). A Computational Design Study of Self-healing Creep Resistant Steels. Poster session presented at Dutch Materials 2018, Utrecht, Netherlands.
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Yifan Fu1,2,*, Niels van Dijk2 and Sybrand van der Zwaag1,3
1 Novel Aerospace Materials group, Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands.
2 Fundamental Aspects of Materials and Energy group, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands. 3 School of Materials Science and Engineering, Tsinghua University, Beijing, China.
*E-mail: y.fu-1@tudelft.nl
A Computational Design Study of
Self-healing Creep Resistant Steels
References
[1] S. Zhang, C. Kwakernaak, W.G. Sloof, E. Brück, S. van der Zwaag, N.H. van Dijk, Adv. Eng. Mater., 17 (2015) 598-603. [2] Q. Lu, W. Xu, S. van der Zwaag, Philos. Mag., 93 (2013) 3391-3412.
Background
Model Description
Future Work
Self-healing behaviour [1] Precipitation-based self-healing alloy
Tem per atu re % Healing agent Matrix Matrix + Precipitate Super-saturation Homogenisation temperature Service temperature
Solubility of the precipitate in the matrix
Model alloys: Fe-Cu, Fe-Au, Fe-Mo, Fe-W
• Aim: a multi-elemental, self-healable, creep resistant ferrous system with adequate mechanical properties for elevated temperature use.
• Enough healing agent: volume fraction of precipitation phase > 1 %;
• Selectivity: precipitates form only on free surface
T
x Tservice
Too much driving force: bulk precipitation Not enough driving force:
no precipitation
Free surface precipitation ∆𝑇𝑇
∆𝑥𝑥
Maximum selectivity at Tservice
Chemical driving force ∆𝐺𝐺𝑉𝑉 = 0
Effective driving force (∆𝐺𝐺𝑉𝑉 − ∆𝐺𝐺𝑆𝑆) = 0
∆𝐺𝐺𝑆𝑆 = 𝜀𝜀𝑉𝑉2𝐸𝐸𝑝𝑝𝐸𝐸𝑚𝑚 3 2 1 − 2𝜈𝜈𝑝𝑝 𝐸𝐸𝑚𝑚 + (1 + 𝜈𝜈𝑚𝑚)𝐸𝐸𝑝𝑝 𝜀𝜀𝑉𝑉′ : volume misfit E: Young’s modulus 𝜈𝜈: Poisson’s ratio p: precipitate; m: matrix 0 2 4 6 8 10 600 700 800 900 1000 1100 1200 13000.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
Chemical driving force = 0
W content (at.%) W content (wt.%) Tem per at ur e ( K ) VF of precipitate = 1 % Effective driving force = 0
0 1 2 3 4 5 6 7 8 300 400 500 600 700 800 900 1000 1100 12000.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5
Chemical driving force = 0
Tem per at ur e ( K ) Mo content (at. %)
Effective driving force = 0 VF of precipitate = 1 % 500 600 700 800 900 1000 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Cu content (wt.%)
Effective driving force = 0
Tem per at ur e ( K ) VF of precipitate = 1 % Cu content (at.%)
Chemical driving force = 0
0.0 0.2 0.4 0.6 0.8 1.0 1.2 800 850 900 950 1000 1050 1100
Chemical driving force = 0
0.0 1.0 2.0 3.0 4.0 Tem per at ur e ( K ) Au content (at.%) Au content (wt.%)
• Cu: little shift of the solubility line due to minor volume misfit; • Au: unlimited selectivity
Alloy Candidates Go/ No Go Module Optimisation Module
Design of self-healing alloys
Design for creep resistance • High strength martensite matrix • Limited undesirable phases • Corrosion resistance • MS > 250 oC
• Adequate molar fraction of matrix phase
• Cr content > 8 wt.% in the matrix
• Precipitation strengthening : inversely proportional to the inter-particle spacing L[2]
• L increases during the coarsening of precipitates • Aim for a small L and a low coarsening rate K.
3 3 0 3 3 0 / / r r Kt L r f r Kt f − = = = + / / 2 1 8 ( ) 9 / m c i i i i i V K x x x D RT β β α β α β γ = = −
∑
• Parameters can be calculated by Thermo-Calc• To determine the optimal composition for the first generation creep resistant steel with the self-healing capability;
• The study of the creep behaviour of the designed alloy; the research on the mechanism properties after the healing behaviour; • Model development and optimisation: the change in the driving force for precipitation during the healing process.
Damage formation
Self Healing