Efficient cellular automata model for prediction of damage of hot forging tools due to thermal fatigue

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Efficient cellular automata model for prediction of damage of hot forging tools due to thermal fatigue

Paweł Nowak, Łukasz Rauch

AGH – University of Science and Technology, Mickiewicza 30, 30-059 Kraków, Poland.

DOI:

https://doi.org/10.7494/cmms.2014.4.0491

Abstract:

The paper presents design and implementation of the cellular automata model, which predicts damage of forging tools due to fatigue. The transition rules for the model were developed on the basis of known information regarding crack initiation and propagation. The coefficients in the model were determined by the inverse analysis of the thermal fatigue tests performed on the Gleeble 3800 simulator. The model was connected with the finite element (FE) program, which simulates stresses in tools during forging. This multiscale approach is extremely demanding as far as computing times are considered, therefore, an efficient implementation of this model was the main objective of the work. Cellular Automata (CA) model of fatigue fracture was realized for heterogeneous hardware architectures. The source codes were implemented in form of the CA framework and algorithm on the basis of API (Application Programming Interface), delivered by the OpenCL library. The framework which supports CA computations was divided into library and application parts. The former supplies API to handle kernels of the program in the OpenCL technology dedicated to both CPU and GPU devices. Application part uses API offered by the library to supply and control input parameters for calculations. This part creates also CA space, introduces parameters of cells and sends them to calculations on accelerators. Implementation of the model was described in the paper and an example of calculation for the hot forging die was presented. High speed-up was obtained due to application of four GPU cards, while a good scalability was maintained.

Cite as:

Nowak, P., & Rauch, Ł. (2014). Efficient cellular automata model for prediction of damage of hot forging tools due to thermal fatigue. Computer Methods in Materials Science, 14(4), 197 – 205. https://doi.org/10.7494/cmms.2014.4.0491

Article (PDF):

Keywords:

Cellular Automata, Forging tools, Fatigue, Distributed computing

Publication dates:

Received: 13.09.2014, accepted: 12.12.2014, published:

Publication type:

Original scientific paper

References:

Bayer, R.G., 2004, Mechanical Wear Fundamentals and Testing, Marcel Dekker Inc., New York.

Behrens, B.-A., Schäfer, F., 2009, Service life predictions for hot bulk forming tools, Steel Research International, 80, 887-891.

Behrens, B.-A., Bouguech, A., Hadifi, T., Klassen, A., 2012, Numerical and experimental investigations on the service life estimation for hot-forging dies, Key Engineering Materials, 504-506, 163-168. N

Gurson, A.L., 1977, Continuum theory of ductile rapture by C void nucleation and growth, Part 1. Yield criteria and flow rules for porous ductile media, Trans ASME, Jour- L A nal of Engineering Materials and Technology, 99, 2-15. R

Gronostajski, Z., Hawryluk, M., Krawczyk, J., Marciniak, M., A 2013, Numerical modelling of the thermal fatigue of M steel WCLV used for hot forging dies, Eksploatacja N Niezawodność – Maintenance and Reliability, 15, 129- D 133.

Gronostajski, Z., Kaszuba, M., Hawryluk, M., Zwierzchowski, H M., 2014, A review of the degradation mechanisms of M the hot forging tools, Archives of Civil and Mechanical R Engineering, 14, 528-539.

Kim, Y.J., Choi, C.H., 2009, A study on life estimation of hot U P forging die, International Journal of Precision Engineer- M O ing and Manufacturing, 10, 105-113. C

Lavtar, L., Muhic, T., Kugler. G., Tercelj, M., 2011, Analysis of the main types of damage on a pair of industrial dies for – 204 hot forging car steering mechanisms, Engineering Fail- ure Analysis, 18, 1143-1152.

Nowak, K., 2009, Micro- versus macro-modelling of creep 249-255.

Perzyński, K., Sitko, M., Madej, L., 2014, Numerical modelling of fracture based on coupled cellular automata finite el- ement approach, Proc. 11th Int. Conf. on Cellular Au- tomata for Research and Industry, ACRI 2014, Krakow, 22-25.

Rauch L., Madej L., 2010, Application of automatic image processing in modeling of the deformation mechanisms based on the digital representation of microstructure, International Journal for Multiscale Computational Engineering, 8(3), 1-14.

Rauch, L., Madej, L., Spytkowski, P., Golab, R., 2014, Development of the cellular automata framework dedicated for metallic materials microstructure evolution models, Archives of Civil and Mechanical Engineering, in print.

Shibutani, Y., 1999, Mesoscopic dynamics on dislocation patterning in fatigued material by Cellular Automata, Materials Science Research International, 5, 258-263.

Shterenlikht, A., 2003, 3D CAFE modeling of transitional duc- tile – brittle fracture in steels, PhD Thesis, The Universi- ty of Sheffield.

Spytkowski, P., Klimek, T., Rauch, L., Madej, L., 2009, Implementation of cellular automata framework dedicated to digital material representation, Computer Methods in Materials Science, (2), 283-288.

Tercelj, M., Panjan, P., Urankar, I., Fajfar, P., Turk, R., 2006, A newly designed laboratory hot forging test for evaluation of coated tool wear resistance, Surface Coating Technology, 200, 3594-3604.