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A mean plastic strain fatigue–creep life prediction and reliability analysis of AISI H13 based on energy method

Published online by Cambridge University Press:  30 October 2017

Yongqin Wang ,
Weiqi Du Open the ORCID record for Weiqi Du [Opens in a new window]  and
Yuanxin Luo
Yongqin Wang
Affiliation:
College of Mechanical Engineering, Chongqing University, Chongqing 400044, China; and State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
Weiqi Du*
Affiliation:
College of Mechanical Engineering, Chongqing University, Chongqing 400044, China
Yuanxin Luo
Affiliation:
College of Mechanical Engineering, Chongqing University, Chongqing 400044, China; and State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
*
a)Address all correspondence to this author. e-mail: [email protected]
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Abstract

Extrusion is an efficient hot working process to aluminum production and AISI H13 (4Cr5MoSiV1) as the main material of extrusion tool suffers from fatigue and creep damage due to its extreme working condition. A new mean plastic strain life prediction has been proposed based on the energy method. In addition, statistical analysis is also taken into consideration to complement this physic-based model due to other unmeasured and unknown exogenous influences. To validate the model, a series of AISI H13 fatigue and fatigue–creep tests were conducted at 500 °C close to the practical aluminum extrusion process. The strain-controlled tests were used for obtaining the parameters, while the stress-controlled tests were utilized for validating the proposed model. It shows that the model predictions were in good agreement with the experimental results.

Keywords

steelfatiguefracture
Type
Articles
Information
Journal of Materials Research , Volume 32 , Issue 22 , 28 November 2017 , pp. 4254 - 4262
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Copyright
Copyright © Materials Research Society 2017 

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Footnotes

Contributing Editor: Jürgen Eckert

References

REFERENCES

Donati, L. and Tomesani, L.: The effect of die design on the production and seam weld quality of extruded aluminum profiles. J. Mater. Process. Technol. 164–165, 1025–1031 (2005).Google Scholar
Rahim, S.N.A., Lajis, M.A., and Ariffin, S.: A review on recycling aluminum chips by hot extrusion process. Procedia CIRP 26, 761–766 (2015).Google Scholar
Delagnes, D., Lamesle, P., Mathon, M.H., Mebarki, N., and Levaillant, C.: Influence of silicon content on the precipitation of secondary carbides and fatigue properties of a 5% Cr tempered martensitic steel. Mater. Sci. Eng., A 394(1–2), 435–444 (2005).Google Scholar
Telasang, G., Dutta Majumdar, J., Padmanabham, G., and Manna, I.: Wear and corrosion behavior of laser surface engineered AISI H13 hot working tool steel. Surf. Coat. Technol. 261, 69–78 (2015).Google Scholar
Zhang, Z., Lin, P., Cong, D., Kong, S., Zhou, H., and Ren, L.: The characteristics of treated zone processed by pulsed Nd-YAG laser surface remelting on hot work steel. Opt. Laser Technol. 64(4), 227–234 (2014).Google Scholar
Jia, Z.X., Liu, Y.W., Li, J.Q., Liu, L.J., and Li, H.L.: Crack growth behavior at thermal fatigue of H13 tool steel processed by laser surface melting. Int. J. Fatigue 78, 61–71 (2015).Google Scholar
Telasang, G., Majumdar, J.D., Padmanabham, G., and Manna, I.: Structure–property correlation in laser surface treated AISI H13 tool steel for improved mechanical properties. Mater. Sci. Eng., A 599, 255–267 (2014).Google Scholar
Kchaou, M., Elleuch, R., Desplanques, Y., Boidin, X., and Degallaix, G.: Failure mechanisms of H13 die on relation to the forging process—A case study of brass gas valves. Eng. Failure Anal. 17(2), 403–415 (2010).Google Scholar
Reggiani, B., Donati, L., Zhou, J., and Tomesani, L.: The role of creep and fatigue in determining the high-temperature behaviour of AISI H11 tempered steel for aluminium extrusion dies. J. Mater. Process. Technol. 210(12), 1613–1623 (2010).Google Scholar
Mosbah, S., Bellet, M., and Gandin, C.A.: Investigation of crack propagation in X38CrMoV5 (AISI H11) tool steel at elevated temperatures. Procedia Eng. 2(1), 2045–2054 (2010).Google Scholar
Shah, M., Mabru, C., Baccar, M., and Rezai-Aria, F.: Normalization of fatigue crack growth data in AISI H11 tool steel at room and elevated temperature. Int. J. Damage Mech. 24(8), 413–422 (2014).Google Scholar
Skelton, R.P.: Deformation, diffusion and ductility during creep—Continuous void nucleation and creep–fatigue damage. Mater. High Temp. 34(2), 121–133 (2017).Google Scholar
Nikbin, K.: A unified multiscale ductility exhaustion based approach to predict uniaxial, multiaxial creep rupture and crack growth. Eng. Fract. Mech. 179(15), 240–259 (2017).Google Scholar
Fan, Y.N., Shi, H.J., and Tokuda, K.: A generalized hysteresis energy method for fatigue and creep–fatigue life prediction of 316L(N). Mater. Sci. Eng., A 625(1), 205–212 (2015).Google Scholar
Zhu, S.P., Huang, H.Z., He, L.P., Liu, Y., and Wang, Z.: A generalized energy-based fatigue–creep damage parameter for life prediction of turbine disk alloys. Eng. Fract. Mech. 90(90), 89–100 (2012).Google Scholar
Zhu, S.P., Huang, H.Z., Li, Y., and He, L.: A novel viscosity-based model for low cycle fatigue–creep life prediction of high-temperature structures. Int. J. Damage Mech. 21(7), 1076–1099 (2012).CrossRefGoogle Scholar
Zhu, S.P. and Huang, H.Z.: A generalized frequency separation–strain energy damage function model for low cycle fatigue–creep life prediction. Fatigue Fract. Eng. Mater. Struct. 33(4), 227–237 (2010).Google Scholar
Zhu, S.P., Lei, Q., Huang, H.Z., Yang, Y.J., and Peng, W.: Mean stress effect correction in strain energy-based fatigue life prediction of metals. Int. J. Damage Mech. 26, 1219–1241 (2016).Google Scholar
Zhu, S.P., Yang, Y.J., Huang, H.Z., Lv, Z., and Wang, H.K.: A unified criterion for fatigue–creep life prediction of high temperature components. Proc. Inst. Mech. Eng., Part G 231(4), 677–688 (2017).Google Scholar
Zhu, S.P., Foletti, S., and Beretta, S.: Probabilistic framework for multiaxial LCF assessment under material variability. Int. J. Fatigue 103, 371–385 (2017).Google Scholar
Wang, J.: Low cycle fatigue and cycle dependent creep with continuum damage mechanics. Int. J. Damage Mech. 1(2), 237–244 (1992).Google Scholar
Fan, Z., Chen, X., Chen, L., and Jiang, J.: Fatigue–creep behavior of 1.25Cr0.5Mo steel at high temperature and its life prediction. Int. J. Fatigue 29(6), 1174–1183 (2007).Google Scholar
Sankararaman, S. and Mahadevan, S.: Distribution type uncertainty due to sparse and imprecise data. Mech. Syst. Signal Pr. 37(1–2), 182–198 (2013).Google Scholar
Guida, M. and Penta, F.: A Bayesian analysis of fatigue data. Struct. Saf. 32(1), 64–76 (2010).Google Scholar
Giordana, M.F., Giroux, P.F., Alvarez-Armas, I., Sauzay, M., Armas, A., and Kruml, T.: Microstructure evolution during cyclic tests on EUROFER 97 at room temperature. TEM observation and modelling. Mater. Sci. Eng., A 550(31), 103–111 (2012).CrossRefGoogle Scholar
Kim, D.W. and Kim, S.S.: Contribution of microstructure and slip system to cyclic softening of 9 wt% Cr steel. Int. J. Fatigue 36(1), 24–29 (2012).Google Scholar
Du, W., Luo, Y., Wang, Y., Chen, S., and Yu, D.: A new energy-based method to evaluate low-cycle fatigue damage of AISI H11 at elevated temperature. Fatigue Fract. Eng. Mater. Struct. 36, 994–1004 (2017).Google Scholar
Xiong, J.J. and Shenoi, R.A.: A practical randomization approach of deterministic equation to determine probabilistic fatigue and fracture behaviours based on small experimental data sets. Int. J. Fract. 145(4), 273–283 (2007).Google Scholar
Yan, X.L., Zhang, X.C., Tu, S.T., Mannan, S.L., Xuan, F.Z., and Lin, Y.C.: Review of creep–fatigue endurance and life prediction of 316 stainless steels. Int. J. Pressure Vessels Piping 126–127, 17–28 (2015).Google Scholar