Crystal plasticity modeling of polycrystalline Ni-base superalloy honeycombs under combined thermo-mechanical loading
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To meet the ever-growing demands for the efficient operation of turbomachinery, a minimum clearance between the rotating and the stationary components is of great importance. A lack of controlling this clearance often leads to interface rubbing. As a result, thermo-mechanical loads arise that can critically damage both components. Maintaining operational reliability and high efficiency requires seal systems that can tolerate rubbing. Honeycomb labyrinth seals can fulfill this task. In this contribution, we present a three-dimensional microstructure-based simulation approach considering the periodic unit cell of a polycrystalline Ni-base superalloy (Hastelloy X) honeycomb structure. Different honeycomb geometries are investigated, and various loading conditions are applied to simulate the thermo-mechanical behavior of the honeycomb structure during rubbing. The problem is solved in a finite element framework, and the deformation behavior is described by a crystal plasticity model accounting for microstructure attributes of the material. To calibrate the material model, numerical simulations on a representative volume element discretized with a realistic three-dimensional periodic mesh are carried out. The overall thermo-mechanical response of the honeycomb structure as well as the development of local field quantities is investigated. The study reveals that large contact areas seem to be very critical for the initiation of premature damage of the honeycomb structure.
KeywordsHoneycombs Crystal plasticity Ni-base superalloy Thermo-mechanical analysis
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This work is part of the research project WE 2351/14–1, funded by the DFG (Deutsche Forschungsgemeinschaft). We thank the Max Planck Institut für Eisenforschung in Düsseldorf for providing the simulation kit DAMASK.
- 5.Böhm, H.: A short introduction to basic aspects of continuum micromechanics. ILSB Report, Vienna University of Technology 206 (1998)Google Scholar
- 7.Dassault Systèmes: Abaqus 6.13 Analysis User’s Guide (2013)Google Scholar
- 11.Frederick, C., Armstrong, P.: A mathematical representation of the multiaxial bauschinger effect. G.E.G.B. Report RD/B/N 731 (1966)Google Scholar
- 19.Haynes International, I.: Hastelloy X alloy (UNS N06002). High-temperature alloys (1997)Google Scholar
- 23.Kouznetsova, V.: Computational homogenization for the multi-scale analysis of multi-phase materials. Ph.D. thesis, TU Eindhoven (2002)Google Scholar
- 26.Meier, F.: Influence of the aluminum-microstructure on the damage behavior of integrated circuits. Ph.D. thesis, Technical University of Munich (2017)Google Scholar
- 36.Roters, F., Diehl, M., Shanthraj, P., Eisenlohr, P., Reuber, C., L.Wong, S., Ma, D., Jia, N., Kok, P., Fujita, N., Ebrahimi, A., Hochrainer, T., Grilli, N., Janssens, K., Stricker, M., Weygand, D., Meier, F., Werner, E., Fabritius, H.O., Nikolov, S., Friak, M., Raabe, D.: Damask - the Düsseldorf advanced material simulation kit for modelling multi-physics crystal plasticity, damage and thermal phenomena from the single crystal up to the component scale. Comput. Mater. Sci. (in press) (2018)Google Scholar
- 37.Roters, F., Eisenlohr, P., Hantcherli, L., Tjahjanto, D., Bieler, T., Raabe, D.: Overview of constitutive laws, kinematics, homogenization and multiscale methods in crystal plasticity finite-element modeling: therory, experiments, applications. Acta Mater. 58(4), 1152–1211 (2010)CrossRefGoogle Scholar
- 52.Zhang, T., Jiang, J., Britton, B., Shollock, B., Dunne, F.: Crack nucleation using combined crystal plasticity modelling, high-resolution digital image correlation and high-resolution electron backscatter diffraction in a superalloy containing non-metallic inclusions under fatigue. Proc. Math. Phys. Eng. Sci. 472, 1–25 (2016)Google Scholar
- 53.Zhang, X., Oskay, C.: Polycrystal plasticity modeling of nickel-based superalloy IN 617 subjected to cyclic loading at high temperature. Modell. Simul. Mater. Sci. Eng. 24, 1–27 (2016)Google Scholar