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Research Papers: Materials and Fabrication

Creep-Fatigue Behaviors and Life Assessments in Two Nickel-Based Superalloys

[+] Author and Article Information
Run-Zi Wang, Jian-Guo Gong

Key Laboratory of Pressure Systems and Safety,
Ministry of Education,
East China University of Science and
Technology,
Shanghai 200237, China

Ji Wang

Key Laboratory of Pressure Systems and Safety,
Ministry of Education,
East China University of Science
and Technology,
Shanghai 200237, China

Xian-Cheng Zhang

Key Laboratory of Pressure Systems and Safety,
School of Mechanical and Power Engineering,
Ministry of Education,
East China University of Science
and Technology,
Meilong Road 130, Xuhui District,
Shanghai 200237, China

Shan-Tung Tu

Key Laboratory of Pressure Systems and Safety,
School of Mechanical and Power Engineering,
Ministry of Education,
East China University of Science and
Technology,
Meilong Road 130, Xuhui District,
Shanghai 200237, China
e-mail: xczhang@ecust.edu.cn

Cheng-Cheng Zhang

AECC,
Commercial Aircraft Engine Co. LTD.,
Shanghai Engineering Research Center for
Commercial Aircraft Engine,
Shanghai 201108, China
e-mail: sttu@ecust.edu.cn

1Corresponding authors.

Contributed by the Pressure Vessel and Piping Division of ASME for publication in the JOURNAL OF PRESSURE VESSEL TECHNOLOGY. Manuscript received August 2, 2017; final manuscript received March 13, 2018; published online April 19, 2018. Assoc. Editor: David L. Rudland.

J. Pressure Vessel Technol 140(3), 031405 (Apr 19, 2018) (13 pages) Paper No: PVT-17-1142; doi: 10.1115/1.4039779 History: Received August 02, 2017; Revised March 13, 2018

The aim of this paper is to investigate different factors, including dwell time, strain range, and strain ratio on creep-fatigue endurances in nickel-based Inconel 718 and GH4169 superalloys. We also summarize classic approaches for life assessments based on the generalizations of Coffin–Manson equation, linear damage summation (LDS), and strain-range partitioning (SRP) method. Each approach does have some degree of success in dealing with a specific set of creep–fatigue data. In order to evaluate the prediction capabilities of the validated approaches, a Bayesian information criterion (BIC) allowing for maximum likelihood and principle of parsimony is used to select the best performing model.

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Figures

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Fig. 1

Typical waveforms for strain-controlled tests: (a) high-temperature low-cycle fatigue with no strain dwells, (b) creep-fatigue with tensile strain dwells, (c) creep-fatigue with compressive strain dwells, and (d) creep-fatigue with balanced/unbalanced strain dwells

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Fig. 2

Effect of dwell time, th, on the time to fracture, tf, in Inconel 718 and GH4169 superalloys in: (a) T-CF, (b) C-CF, and (c) TC-CF tests

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Fig. 3

Relationship between the time to failure, tf, and one cycle time, ct, with respect to various total strain ranges of: (a) Inconel 718 and (b) GH4169 superalloy

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Fig. 4

Effects of te/td and td/te on the number of cycles to failure, Nf of GH4169 superalloy

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Fig. 5

Effect of the total strain ranges, Δεt, of the number of cycles to failure, Nf, in Inconel 718 and GH4169 superalloy with respect to different dwell times, th, containing HTLCF, T-CF, and C-CF tests

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Fig. 6

Relationship between (a) inelastic strain range, Δεin, and (b) net tensile hysteretic energy, σTΔεin, of the number of cycles to failure, Nf, in Inconel 718 and GH4169 superalloys with respect to different dwell times, th, containing HTLCF, T-CF and C-CF tests

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Fig. 7

Schematic diagram of loading waveforms and corresponding hysteresis loops at: (a) Rε=−1 and (b) Rε=0 in the C-CF tests

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Fig. 8

Correlations of (a) inelastic strain range, Δεin and (b) total strain range, Δεt, with number of cycles to failure, Nf, of Inconel 718 superalloy. The numbers above symbols denoted the values of mean stress in a certain test.

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Fig. 9

Historical development processes of classic creep-fatigue life prediction models

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Fig. 10

Correlations of number of cycles to failure, Nf, and FM factor Δεin⋅γm(k−1) by using frequency-modification life mode in Inconel 718 and GH4169 superalloy

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Fig. 11

Creep-fatigue predictions in Inconel 718 GH4169 superalloy for HTLCF, T-CF, and C-CF tests by using FS life model

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Fig. 12

Creep-fatigue predictions in Inconel 718 and GH4169 for HTLCF, T-CF, C-CF, and TC-CF tests by using FM damage function model

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Fig. 13

(a) creep-fatigue predictions and (b) damage interaction diagram in GH4169 superalloy for T-CF tests by using TF model

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Fig. 14

(a) creep-fatigue predictions and (b) damage interaction diagram in GH4169 superalloy for T-CF tests by using ductility exhaustion model

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Fig. 15

SRP life relationships in Inconel 718 and GH4169 superalloys

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Fig. 16

Creep-fatigue predictions in Inconel 718 and GH4169 for HTLCF, T-CF, C-CF, and TC-CF tests by using SRP model

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Fig. 17

SEP life relationships in Inconel 718 and GH4169 superalloys

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Fig. 18

Creep-fatigue predictions in Inconel 718 and GH4169 for HTLCF, T-CF, C-CF, and TC-CF tests by using SEP model

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Fig. 19

(a) Standard deviation and (b) BIC model selection criterion used in the validated life prediction models

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