Research Papers

Application of Noninteraction Constitutive Models for Deformation of IN617 Under Combined Extreme Environments

[+] Author and Article Information
Thomas Bouchenot

Department of Mechanical and
Aerospace Engineering,
University of Central Florida,
Orlando, FL 32816
e-mail: Thomas.Bouchenot@knights.ucf.edu

Calvin Cole

Department of Mechanical and
Aerospace Engineering,
University of Central Florida,
Orlando, FL 32816
e-mail: carl.cole18@Knights.ucf.edu

Ali P. Gordon

Associate Professor
Department of Mechanical and
Aerospace Engineering,
University of Central Florida,
Orlando, FL 32816
e-mail: Ali.Gordon@ucf.edu

Casey Holycross

Air Force Research Laboratory,
Wright-Patterson AFB, OH 45433
e-mail: Casey.Holycross@us.af.mil

Ravi C. Penmetsa

Air Force Research Laboratory,
Wright-Patterson AFB, OH 45433
e-mail: Ravi.Penmetsa@us.af.mil

Contributed by the Materials Division of ASME for publication in the JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY. Manuscript received November 5, 2017; final manuscript received April 29, 2018; published online June 18, 2018. Assoc. Editor: Curt Bronkhorst.This work is in part a work of the U.S. Government. ASME disclaims all interest in the U.S. Government's contributions.

J. Eng. Mater. Technol 140(4), 041008 (Jun 18, 2018) (11 pages) Paper No: MATS-17-1328; doi: 10.1115/1.4040223 History: Received November 05, 2017; Revised April 29, 2018

Next-generation, reusable hypersonic aircraft will be subjected to extreme environments that produce complex fatigue loads at high temperatures, reminiscent of the life-limiting thermal and mechanical loads present in large gas-powered land-based turbines. In both of these applications, there is a need for greater fidelity in the constitutive material models employed in finite element simulations, resulting in the transition to nonlinear formulations. One such formulation is the nonlinear kinematic hardening (NLKH) model, which is a plasticity model quickly gaining popularity in the industrial sector, and can be found in commercial finite element software. The drawback to using models like the NLKH model is that the parameterization can be difficult, and the numerical fitting techniques commonly used for such tasks may result in constants devoid of physical meaning. This study presents a simple method to derive these constants by extrapolation of a reduced-order model, where the cyclic Ramberg–Osgood (CRO) formulation is used to obtain the parameters of a three-part NLKH model. This fitting scheme is used with basic literature-based data to fully characterize a constitutive model for Inconel 617 at temperatures between 20 °C and 1000 °C. This model is validated for low-cycle fatigue (LCF), creep-fatigue (CF), thermomechanical fatigue (TMF), and combined thermomechanical-high-cycle fatigue (HCF) using a mix of literature data and original data produced at the Air Force Research Laboratory (AFRL).

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Fig. 1

Drawing of the cylindrical dogbone specimen

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Fig. 2

(a) Photograph of the test setup and (b) screenshot of the temperature distribution via the FLIR display

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Fig. 3

Experimental hysteresis response for the first cycle and a stabilized cycle for: (a) IN2, (b) IN3, (c) IN4, and (d) IN6

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Fig. 4

Young's modulus and Poisson's ratio for IN617 as a function of temperature [17]

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Fig. 5

LCF data from literature with CRO models at various temperatures [213]

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Fig. 6

Temperature distribution of the fitted CRO modeling constants as a function of temperature

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Fig. 7

Creep data from literature plotted against the fitted Norton creep model [1419]

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Fig. 8

Sketch of segments used to determine the C constants

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Fig. 9

Plot of the NLKH constants as a function of temperature

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Fig. 10

Comparison of LCF simulations to tests

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Fig. 11

Comparison of creep-fatigue tests to simulations

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Fig. 12

Comparison of NLKH model to literature data [6] for (a) LCF and (b) creep-fatigue hysteresis loops

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Fig. 13

Comparison of NLKH model to LCF hysteresis loops at (a) 850 °C and (b) 950 °C from literature [20]

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Fig. 14

Comparison of NLKH model to (a) in-phase and (b) out-of-phase TMF hysteresis loops from literature [21]

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Fig. 15

Comparison of NLKH model to combined OPTMF–HCF literature data [39] with an HCF amplitude of (a) 0.05% and (b) 0.1%

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Fig. 16

Comparison of NLKH model to combined IPTMF–HCF literature data [39] with an HCF amplitude of (a) 0.05% and (b) 0.1%



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