Geomechanics and Engineering

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Dynamic compaction of cold die Aluminum powders

  • Babaei, Hashem (Department of Mechanical Engineering, Engineering Faculty, University of Guilan) ;
  • Mostofi, Tohid Mirzababaie (Department of Mechanical Engineering, Engineering Faculty, University of Guilan) ;
  • Alitavoli, Majid (Department of Mechanical Engineering, Engineering Faculty, University of Guilan) ;
  • Namazi, Nasir (Department of Mechanical Engineering, Engineering Faculty, University of Guilan) ;
  • Rahmanpoor, Ali (Department of Mechanical Engineering, Roudbar Branch, Islamic Azad University)
  • Received : 2015.08.09
  • Accepted : 2015.11.27
  • Published : 2016.01.25
⟨ Previous Next ⟩

Abstract

In this paper, process of dynamic powder compaction is investigated experimentally using impact of drop hammer and die tube. A series of test is performed using aluminum powder with different grain size. The energy of compaction of powder is determined by measuring height of hammer and the results presented in term of compact density and rupture stress. This paper also presents a mathematical modeling using experimental data and neural network. The purpose of this modeling is to display how the variations of the significant parameters changes with the compact density and rupture stress. The closed-form obtained model shows very good agreement with experimental results and it provides a way of studying and understanding the mechanics of dynamic powder compaction process. In the considered energy level (from 733 to 3580 J), the relative density is varied from 63.89% to 87.41%, 63.93% to 91.52%, 64.15% to 95.11% for powder A, B and C respectively. Also, the maximum rupture stress are obtained for different types of powder and the results shown that the rupture stress increases with increasing energy level and grain size.

Keywords

References

  1. Babaei, H. and Darvizeh, A. (2011), "Investigation into the response of fully clamped circular steel, copper, and aluminum plates subjected to shock loading", Mech. Des. Struct. Mach., 39(4), 507-526. https://doi.org/10.1080/15397734.2011.583204
  2. Babaei, H., Mirzababaie Mostofi, T. and Alitavoli, M. (2015a), "Experimental and theoretical study of large deformation of rectangular plates subjected to water hammer shock loading", Proceedings of the Institution of Mechanical Engineers, Part E: J. Process Mech. Eng. DOI: 10.1177/0954408915611055
  3. Babaei, H., Mirzababaie Mostofi, T. and Alitavoli, M. (2015b), "Experimental investigation and analytical modelling for forming of circular-clamped plates by using gases mixture detonation", Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. DOI: 0954406215614336
  4. Babaei, H., Mirzababaie Mostofi, T. and Alitavoli, M. (2015c), "Study on the response of circular thin plate under low velocity impact", Geomech. Eng., Int. J., 9(2), 207-218. https://doi.org/10.12989/gae.2015.9.2.207
  5. Babaei, H., Mirzababaie Mostofi, T. and Sadraei, S.H. (2015d), "Effect of gas detonation on response of circular plate- experimental and theoretical", Struct. Eng. Mech., Int. J., 56(4), 535-548. https://doi.org/10.12989/sem.2015.56.4.535
  6. Darvizeh, A., Nariman-Zadeh, N. and Gharababaei, H. (2003), "GMDH-type neural network modelling of explosive cutting process of plates using singular value decomposition", Syst. Anal. Model. Simul., 43(10), 1383-1397. https://doi.org/10.1080/02329290290024358
  7. Farlow, S.J. (1984), Self-Organizing Methods in Modeling: GMDH Type Algorithms, (Volume 54), CrC Press.
  8. Gharababaei, H., Nariman-Zadeh, N. and Darvizeh, A. (2010), "A simple modelling method for deflection of circular plates under impulsive loading using dimensionless analysis and singular value decomposition", J. Mech., 26(3), 355-361. https://doi.org/10.1017/S1727719100003919
  9. Golub, G.H. and Reinsch, C. (1970), "Singular value decomposition and least squares solutions", Numerische mathematik, 14(5), 403-420. https://doi.org/10.1007/BF02163027
  10. Housen, K.R. and Holsapple, K.A. (2003), "Impact cratering on porous asteroids", Icarus, 163(1), 102-119. https://doi.org/10.1016/S0019-1035(03)00024-1
  11. Iba, H., Kurita, T., Garis, H.d. and Sato, T. (1993), "System identification using structured genetic algorithms", Proceedings of the 5th International Conference on Genetic Algorithms, (Presented), Urbana-Champaign, IL, USA, June, pp. 279-286.
  12. Ivakhnenko, A. (1971), "Polynomial theory of complex systems", IEEE Transact. Syst. Man Cybernet., 1(4), 364-378. https://doi.org/10.1109/TSMC.1971.4308320
  13. Jamali, A., Khaleghi, E., Gholaminezhad, I., Nariman-Zadeh, N., Gholaminia, B. and Jamal-Omidi, A. (2014), "Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data", J. Intell. Manuf., 1-15.
  14. Khan, D.F., Yin, H.Q., Matiullah, M., Asadullah, A. and Qu, X.H. (2013), "Analysis of density and mechanical properties of iron powder with upper relaxation assist through high velocity compaction", The Materials Science Forum, (Presented).
  15. Kristinsson, K. and Dumont, G. (1992), "System identification and control using genetic algorithms", IEEE Transact. Syst. Man Cybernet., 22(5), 1033-1046. https://doi.org/10.1109/21.179842
  16. Madandoust, R., Ghavidel, R. and Nariman-Zadeh, N. (2010), "Evolutionary design of generalized GMDHtype neural network for prediction of concrete compressive strength using UPV", Computat. Mater. Sci., 49(3), 556-567. https://doi.org/10.1016/j.commatsci.2010.05.050
  17. Majzoobi, G., Atrian, A. and Pipelzadeh, M. (2015a), "Effect of densification rate on consolidation and properties of Al7075-B4C composite powder", Powder Metallurgy, 58(4), 281-288. DOI: http://dx.doi.org/10.1179/1743290115Y.0000000008
  18. Majzoobi, G., Bakhtiari, H., Atrian, A., Pipelzadeh, M. and Hardy, S. (2015b), "Warm dynamic compaction of Al6061/SiC nanocomposite powders", Proceedings of the Institution of Mechanical Engineers, Part L: J. Mater. Des. Appl., 1464420714566628.
  19. Nariman-Zadeh, N. and Jamali, A. (2007), "Pareto genetic design of GMDH-type neural networks for nonlinear systems", Proceedings of the International Workshop on InductiVe Modelling, (Presented), (Drchal, J. and Koutnik, J. eds.), Czech Technical University, Prague, Czech Republic, September.
  20. Nariman-Zadeh, N., Darvizeh, A., Darvizeh, M. and Gharababaei, H. (2002a), "Modelling of explosive cutting process of plates using GMDH-type neural network and singular value decomposition", J. Mater. Process. Technol., 128(1), 80-87. https://doi.org/10.1016/S0924-0136(02)00264-9
  21. Nariman-Zadeh, N., Darvizeh, A., Felezi, M. and Gharababaei, H. (2002b), "Polynomial modelling of explosive compaction process of metallic powders using GMDH-type neural networks and singular value decomposition", Model. Simul. Mater. Sci. Eng., 10(6), 727. https://doi.org/10.1088/0965-0393/10/6/308
  22. Nariman-Zadeh, N., Darvizeh, A. and Ahmad-Zadeh, G. (2003), "Hybrid genetic design of GMDH-type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process", Proceedings of the Institution of Mechanical Engineers, Part B: J. Eng. Manuf., 217(6), 779-790. https://doi.org/10.1243/09544050360673161
  23. Natke, H.G. (2014), Application of System Identification in Engineering, (Volume 296), Springer.
  24. Porkhial, S., Salehpour, M., Ashraf, H. and Jamali, A. (2015), "Modeling and prediction of geothermal reservoir temperature behavior using evolutionary design of neural networks", Geothermics, 53, 320-327. https://doi.org/10.1016/j.geothermics.2014.07.003
  25. Porter, B. and Zadeh, N. (1995), "Genetic design of computed torque/fuzzy-logic controllers for robotic manipulators", Proceedings of IEEE International Symposium on Intelligent Control Proceedings, Monterey, CA, USA, August.
  26. Sukegawa, N., Sano, T., Horikoshi, S. and Takeishi, H. (2000), "Dynamic powder compaction for parts with high-aspect ratio", Int. J. Impact Eng., 24(6), 561-570. https://doi.org/10.1016/S0734-743X(00)00016-6
  27. Vivek, A., DeFouw, J.D. and Daehn, G.S. (2014), "Dynamic compaction of titanium powder by vaporizing foil actuator assisted shearing", Powder Technol., 254, 181-186. https://doi.org/10.1016/j.powtec.2014.01.019
  28. Vogler, T., Lee, M. and Grady, D. (2007), "Static and dynamic compaction of ceramic powders", Int. J. Solid. Struct., 44(2), 636-658. https://doi.org/10.1016/j.ijsolstr.2006.05.001
  29. Yan, Z.-q., Feng, C., Cai, Y.-x. and Jian, Y. (2013), "Influence of particle size on property of Ti-6Al-4V alloy prepared by high-velocity compaction", Transact. Nonferrous Metals Soc. China, 23(2), 361-365. https://doi.org/10.1016/S1003-6326(13)62470-X
  30. Yin, H., Li, H., Qu, X., Khan, M., Ali, S. and Iqbal, M.Z. (2013), "Compaction of Ti-6Al-4V powder using high velocity compaction technique", Mater. Des., 50, 479-483. https://doi.org/10.1016/j.matdes.2013.03.003

Cited by

  1. Modeling and prediction of fatigue life in composite materials by using singular value decomposition method 2020, https://doi.org/10.1177/1464420716660875
  2. Gas mixture detonation method, a novel processing technique for metal powder compaction: Experimental investigation and empirical modeling vol.315, 2017, https://doi.org/10.1016/j.powtec.2017.04.006
  3. Modeling and prediction of metallic powder behavior in explosive compaction process by using genetic programming method based on dimensionless numbers pp.2041-3009, 2018, https://doi.org/10.1177/0954408918761223
  4. High-velocity powder compaction: An experimental investigation, modelling, and optimization vol.78, pp.2, 2021, https://doi.org/10.12989/sem.2021.78.2.145