Numerical and Experimental Comparison of Flow Stress and the Effect of Microcylinder Topography in the Barreling Test: An Artificial Neural Network Model
محورهای موضوعی : Metal FormingMohammad Honarpisheh 1 , Narges Shooshtari 2
1 - Faculty of Mechanical Engineering, University of Kashan, Kashan, Iran
2 - University of Kashan, Kashan, Iran
کلید واژه: Neural network, FEM, Flow stress, Tribology, Microcylinder,
چکیده مقاله :
In any case, macroscale shaping cannot be transferred to microscale due to the size effect. There are different parameters to evaluate small-scale forming. In this article, the effect of flow stress and topography in two states of lubrication and without lubrication for T2 copper micro cylinder has been investigated using the numerical solution and prediction of a trained neural network. An artificial neural network model has been presented to investigate the flow stress and the effect of friction with the miniaturization of the copper microcylinder. The results show that the flow stress decreases with decreasing the initial specimen diameter in both lubrication conditions, and the flow stress decreases by 30 MPa with the initial specimen diameter decreasing from 8 mm to 1 mm. The friction factor increases obviously with decreasing the initial specimen diameter in the case of lubricating with castor oil, and the friction factor increases by 0.11 with the initial specimen diameter decreasing from 8 mm to 1 mm. However, the tribology size effect is not found in the case without lubrication. The reasons for the flow stress and tribology size effects were also discussed. The good matching of outputs and objectives in the regression graphs shows that the response of the neural network is satisfactory.
[1] Geiger, M., Kleiner, M., Eckstein, R., Tiesler, N. and Engel, U. 2001. Microforming. CIRP Annals. 50: 445-462.
[2] Jiang, Z., Zhao, J., Lu, H., Wei, D., Manabe, K. I., Zhao, X. and Wu, D. 2017. Influences of temperature and grain size on the material deformability in microforming process. International Journal of Material Forming. 10: 753-764.
[3] Meng, B. and Chen, K. S. 2015. Ductile fracture and deformation behavior in progressive microforming. Materials and Design. 83: 14-25.
[4] Xu, Z., Qiu, D., Shahzamanian, M. M., Zhou, Z., Mei, D. and Peng, L. 2023. An improved springback model considering the transverse stress in microforming. International Journal of Mechanical Sciences. 241: 907-947.
[5] Gau, J. T., Principe, C. and Wang, J. 2007. An experimental study on size effects on flow stress and formability of aluminm and brass for microforming. Journal of Materials Processing Technology. 1843: 42-46.
[6] Meng, B., Cao, B. N., Wan, M., Xu, J. and Shan, D. B. 2020. Ultrasonic-assisted microforming of superalloy capillary: Modeling and experimental investigation. Journal of Manufacturing Processes. 57: 589-599.
[7] Wang, C., Wang, H., Chen, G., Zhu, Q., Zhang, G., Cui, L. and Zhang, P. 2020. Size effects affected uniaxial tensile properties and formability in rubber pad microforming process of pure nickel thin sheets. International Journal of Mechanical Sciences. 182: 105-157.
[8] Messner, A., Engel, U., Kals, R. and Vollertsen, F. 1994. Size effect in the FE-simulation of micro-forming processes. Journal of Materials Processing Technology. 45: 371-376.
[9] Chen, F. K., and Tsai, J. W. 2006. A study of size effect in micro-forming with micro-hardness tests. Journal of Materials Processing Technology.177: 146-149.
[10] Nanthakumar, S., Rajenthirakumar, D. and Avinashkumar, S. 2020. Influence of temperature on deformation behavior of copper during microextrusion process. Proceedings of the Institution of Mechanical Engineers, Part C. Journal of Mechanical Engineering Science. 234: 1797-1808.
[11] Ghassemali, E., Jarfors, A. E. W., Tan, M. J. and Lim, S. C. V. 2013. On the microstructure of micro-pins manufactured by a novel progressive microforming process. International journal of material forming. 6: 65-74.
[12] Krishnan, N., Cao, J. and Dohda, K. 2007. Study of the size effect on friction conditions in microextrusion experiments and analysis. Journal of Materials Processing Technology. 1:669-676.
[13] Vollertsen, F., Hu, Z., Niehoff, H. S. and Theiler, C. 2004. State of the art in micro forming and investigations into micro deep drawing. Journal of Materials Processing Technology. 151: 70-79.
[14] Vollertsen, F. and Hu, Z. 2006. Tribological size effects in sheet metal forming measured by a strip drawing test. CIRP Annals. 1: 291-294.
[15] Movahedian, S., Khamedi, R., Moradi, R. and Niknafs, H. 2021. Experimental and numerical analyses of carbon steel sheet metal forming process using strain rate dependent friction model. Materials Today: Proceedings. 42:1599-1607.
[16] Ebrahimi, R. and Najafizadeh, A. 2004. A new method for evaluation of friction in bulk metal forming. Journal of Materials Processing Technology. 2: 136-143.
[17] Wang, Z., Li, S., Wang, X., Cui, R. and Zhang, W. 2018. Modeling of surface layer and strain gradient hardening effects on micro-bending of non-oriented silicon steel sheet. Materials Science and Engineering. 711: 498-507.
[18] Aal, M.I.A.E., Mahallawy, N.E., Shehata, Hameed, F.A. Yoon, M., Lee, J.H. and Kim, H.S. 2010. Tensile properties and fracture characteristics of ECAP-processed Al and Al-Cu alloys. Metals and Materials International. 5: 709-716.
[19] Honarpisheh, M., Dehghani, M. and Haghighat, E. 2015. Investigation of Mechanical Properties of Al/Cu striped by equal channel angular rolling. Procedia Materials Science. 11: 1-5.
[20] Honarpisheh, M., Haghighat, E. and Kotobi, M. 2018. Investigation of residual stress and mechanical properties of equal channel angular rolled St12 strips. Procedia Materials Science. 10: 20-25.
[21] Toth, L., Arzaghi, Fundenberger, M., Beausir, J.J., B., Bouaziz, O. and Arruffat-Massion, R. 2009. Severe plastic deformation of metals by high-pressure tube twisting. Scripta Materialia. 3: 175-177.
[22] Nazari, F. and Honarpisheh, M. 2018. Analytical model to estimate force of constrained groove pressing process. Journal of Manufacturing Processes. 32: 11-19.
[23] Nazari, F., and Honarpisheh, M. 2019. Analytical and experimental investigation of deformation in constrained groove pressing process. Journal of Mechanical Engineering Science. 11: 3751-3759.
[24] Khanlari, H., and Honarpisheh, M. 2020. Investigation of microstructure, mechanical properties and residual stress in non-equal-channel angular pressing of 6061 aluminum alloy. Transactions of the Indian Institute of Metals. 5: 1109-1121.
[25] Khanlari, H., and Honarpisheh, M. 2023. An upper bound analysis of channel angular pressing process considering die geometric characteristics, friction, and material strain-hardening. CIRP Journal of Manufacturing Science and Technology. 41: 259-276.
[26] Moazam, M. A. and Honarpisheh, M. 2021. Improving the mechanical properties and reducing the residual stresses of AA7075 by combination of cyclic close die forging and precipitation hardening. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications. 235: 542-549.
[27] Moazam, M. A., and Honarpisheh, M. 2020. The effects of combined cyclic close die forging and aging process on microstructure and mechanical properties of AA7075. Journal of Materials: Design and Applications. 234: 1242-1251.
[28] Moazam, M. A. and Honarpisheh, M. 2019. Ring-core integral method to measurement residual stress distribution of Al-7075 alloy processed by cyclic close die forging. Materials Research Express. 6: 86-93.
[29] Supriadi, S., Kristianto, H., Whulanza, Y., Saragih, A. S., Dhelika, R. and Latief, B. S. 2018. Fabrication of magnesium ecap based maxillary miniplate-typed implant through the method of micro forming .In IOP Conference Series: Materials Science and Engineering. 1: 12-37.
[30] Poggio, T., and Girosi, F. 1990. Networks for approximation and learning. Proceedings of the IEEE. 9: 1481-1497.
[31] Jiang, Z., Zhao, J., Lu, H., Wei, D., Manabe, K. I., Zhao, X. and Wu, D. 2017. Influences of temperature and grain size on the material deformability in microforming process. International Journal of Material Forming. 10: 753-764.
[32] Sanger, T. D. 1989. Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural networks. 6: 459-473.
[33] Bin, G. U. O., Feng, G. O. N. G., Wang, C. J., and Shan, D. B. 2009. Flow stress and tribology size effects in scaled down cylinder compression. Transactions of Nonferrous Metals Society of China. 19: 516-520.
[34] Parasiz, S. A., Kutucu, Y. K. and Karadag, O. 2021. On the utilization of Sachs model in modeling deformation of surface grains for micro/meso scale deformation processes. Journal of Manufacturing Processes. 68: 1086-1099.
[35] Wang, C., Wang, H., Chen, G., Zhu, Q., Zhang, G., Cui, L. and Zhang, P. 2020. Size effects affected uniaxial tensile properties and formability in rubber pad microforming process of pure nickel thin sheets. International Journal of Mechanical Sciences. 182: 705-757.
