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Research Article

Modelling for Creep Cavitation Damage and Life of Three Metallic Materials

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Pages 86-96 | Received 12 Mar 2021, Accepted 22 Dec 2021, Published online: 07 Jan 2022

Figures & data

Table 1. The chemical composition (wt%) of test materials [Citation20–23]

Table 2. Temperature, time and stress ranges for the assessed data in creep testing [Citation20–23]

Figure 1. (a) A schematic 2D illustration of creep cavities at grain boundaries, (b) a simplified 3D model of creep cavitation in a polycrystal adapted from [Citation40] and (c) a faceted creep cavity shaped by surface diffusion in copper.

Figure 1. (a) A schematic 2D illustration of creep cavities at grain boundaries, (b) a simplified 3D model of creep cavitation in a polycrystal adapted from [Citation40] and (c) a faceted creep cavity shaped by surface diffusion in copper.

Figure 2. Creep cavitation damage (a) and (b) in HAZ of X20 steel [Citation27], and (c) in oxygen free phosphorus doped (OFP) copper [Citation26].

Figure 2. Creep cavitation damage (a) and (b) in HAZ of X20 steel [Citation27], and (c) in oxygen free phosphorus doped (OFP) copper [Citation26].

Figure 3. Observed versus predicted cavity area fraction (for copper converted from density) with classical Φ’ model and the new Φ model for OFHC copper [Citation20] in (a) and (b), for simulated type IV HAZ of 0.5CMV steel [Citation23] in (c) and (d), and for X20 steel [Citation21, Citation22] in (e) and (f).

Figure 3. Observed versus predicted cavity area fraction (for copper converted from density) with classical Φ’ model and the new Φ model for OFHC copper [Citation20] in (a) and (b), for simulated type IV HAZ of 0.5CMV steel [Citation23] in (c) and (d), and for X20 steel [Citation21, Citation22] in (e) and (f).

Figure 4. Observed versus predicted time to cavity area fraction (for copper converted from density) with classical Φ’ model and the new Φ model for OFHC copper [Citation20] in (a) and (b), for simulated type IV HAZ of 0.5CMV steel [Citation23] in (c) and (d), and for X20 steel [Citation21, Citation22] in (e) and (f).

Figure 4. Observed versus predicted time to cavity area fraction (for copper converted from density) with classical Φ’ model and the new Φ model for OFHC copper [Citation20] in (a) and (b), for simulated type IV HAZ of 0.5CMV steel [Citation23] in (c) and (d), and for X20 steel [Citation21, Citation22] in (e) and (f).

Figure 5. The predicted versus observed time to given cavity area fraction for 0.5CMV type IV cross-weld HAZ [Citation23] in (a), and the predicted versus observed cavity area fraction for selected 0.5CMV type IV cross-weld HAZ [Citation23] data in (b).

Figure 5. The predicted versus observed time to given cavity area fraction for 0.5CMV type IV cross-weld HAZ [Citation23] in (a), and the predicted versus observed cavity area fraction for selected 0.5CMV type IV cross-weld HAZ [Citation23] data in (b).

Figure 6. Predicted (with the new Φ model) and measured evolution of creep cavitation damage for restricted test series in (a) OFHC copper [Citation20], (b) 0.5CMV simulated type IV HAZ [Citation23], (c) cross-weld 0.5CMV steel [Citation23] and (d) X20 steel base material [Citation21, Citation22].

Figure 6. Predicted (with the new Φ model) and measured evolution of creep cavitation damage for restricted test series in (a) OFHC copper [Citation20], (b) 0.5CMV simulated type IV HAZ [Citation23], (c) cross-weld 0.5CMV steel [Citation23] and (d) X20 steel base material [Citation21, Citation22].

Table 3. Indicative values for the model parameters in Equations (2)–(5) [Citation20–23, Citation51, Citation53]