Analysis of technological damageability of castings manufactured in sand molds

Authors

DOI:

https://doi.org/10.15587/2312-8372.2017.104769

Keywords:

technological damageability, Weibull homogeneity coefficient, accelerated crystallization, liquid phase, foundry defects

Abstract

In order to assess the process of accumulation of damages in billets obtained by casting in sand molds, studies of castings made from an aluminum alloy are conducted. Analysis of the physical heterogeneity of the material is carried out on the basis of the microstructural studies, as well as the LM hardness method. It is shown that it is expedient to evaluate the technological damageability of various zones of cast billets with complex spatial geometry that contain massive thermal assemblies and thin walls, according to the dispersion degree of the hardness characteristics. The technological damageability of billets obtained in sand molds varies widely and mainly depends on the conditions of crystallization of their individual volumes:

– distribution of temperature fields;

– direct heat reducing;

– features of the metal feeder with a liquid phase during crystallization.

The influence of the mold design on the formation of technological damage is analyzed. Increasing the distance from the feeder promotes growth, and accelerated crystallization and directed heat removing promote reduce in technological damage to the volume of the casting when cured. Damageability of the material of cast billets serves as a parameter that is quantitatively evaluates the reliability characteristics of products, and its definition allows to formulate new approaches to the selection of foundry alloys and improve casting technologies to increase their operational durability. On the basis of the conducted studies it is established that the technological damageability is 1.3–6.5 times higher than for the base material in the near-surface layer at a depth of 2 mm.

Author Biographies

Oleg Kuzin, National University «Lviv Polytechnic», 12, S. Bandera str., Lviv, Ukraine, 79013

PhD, Associate Professor

Department of Applied Material Science and Materials Engineering

Jaroslav Kusyj, National University «Lviv Polytechnic», 12, S. Bandera str., Lviv, Ukraine, 79013

PhD, Associate Professor

Department of Mechanical Engineering Technology

Nikolai Kuzin, Lviv Branch of V. Lazaryan Dnipropetrovsk National University of Railway Transport, 12а, Blazhkevych str., Lviv, Ukraine, 79052

Doctor of Technical Sciences, Associate Professor

References

  1. Kusyj, J. (2002). Tekhnolohichne zabezpechennia fizyko-mekhanichnykh parametriv poverkhnevykh shariv metalevykh dovhomirnykh tsylindrychnykh detalei vibratsiino-vidtsentrovym zmitsnenniam. Lviv, 260.
  2. Kusyj, J., Kuk, A. (2015). Method devised to improve technological reliability of machine parts. Eastern-European Journal of Enterprise Technologies, 1(7(73)), 41–51. doi:10.15587/1729-4061.2015.36336
  3. Kusyj, J., Kuzin, O., Kuzin, N. (2016). The dependence of intergrain damageability of casting on the technological treatment route. Eastern-European Journal of Enterprise Technologies, 1(5(79)), 39–47. doi:10.15587/1729-4061.2016.59845
  4. Kuzin, N. (2015). Ob odnoi matematicheskoi modeli izmeneniia ekspluatatsionnyh svoistv materiala. Prikladnaia mehanika, 51 (4), 125–132.
  5. Suslov, A. G. (2000). Kachestvo poverhnostnogo sloia detalei mashin. Moscow: Mashinostroenie, 320.
  6. In: Suslov, A. G. (2008). Inzheneriia poverhnosti detalei. Moscow: Mashinostroenie, 320.
  7. Pronikov, A. S. (1978). Nadezhnost' mashin. Moscow: Mashinostroenie, 592.
  8. Hrulindik, D. S., Petrovskii, E. A. (2011). FMEA – instrument vliianiia na kachestvo protsessov obsluzhivaniia proizvodstva. Sovremennye problemy nauki i obrazovaniia, 6, 39.
  9. Kuzin, O., Kusyj, J., Topilnytskyj, V. (2015). Influence of technological heredity on reliability parameters of products. Technology Audit and Production Reserves, 1(1(21)), 15–21. doi:10.15587/2312-8372.2015.37678
  10. Yashcheritsyn, P. I., Ryzhov, E. V., Averchenko, V. I. (1977). Tehnologicheskaia nasledstvennost' v mashinostroenii. Minsk: Nauka i tehnika, 256.
  11. Bozhydarnik, V. V., Hryhorieva, N. S., Shabaikovych, V. A. (2006). Tekhnolohiia vyhotovlennia detalei vyrobiv. Lutsk: Nadstyria, 612.
  12. Ogorodnikova, O. M. (2012). Possibilities of Siemens PLM software for robotics research and production management. Proceedings of Russian-Korea scientific workshop «Advanced computer and information technologies». Ekaterinburg: UrFU, 122–128.
  13. Skoogh, A., Perera, T., Johansson, B. (2012). Input data management in simulation – Industrial practices and future trends. Simulation Modelling Practice and Theory, 29, 181–192. doi:10.1016/j.simpat.2012.07.009
  14. Wang, L. (2013). Data Representation of Machine Models. Dynamic Thermal Analysis of Machines in Running State. London: Springer-Verlag, 11–29. doi:10.1007/978-1-4471-5273-6_2
  15. McDowell, D. L. (2007). Simulation-assisted materials design for the concurrent design of materials and products. Journal of the Minerals, Metals and Materials Society, 59 (9), 21–25. doi:10.1007/s11837-007-0111-7
  16. Dalskii, A. M. (1975). Tehnologicheskoe obespechenie nadezhnosti vysokotochnyh detalei mashin. Moscow: Mashinostroenie, 319.
  17. Durham, S. D., Padgett, W. J. (1997). Cumulative Damage Models for System Failure with Application to Carbon Fibers and Composites. Technometrics, 39 (1), 34–44. doi:10.2307/1270770
  18. McEvily, A. J. (2013). Metal Failures: Mechanisms, Analysis, Prevention. Ed. 2. John Wiley & Sons, 480. doi:10.1002/9781118671023
  19. In: Zohdi, T. I., Wriggers, P. (2005). An Introduction to Computational Micromechanics. Lecture Notes in Applied and Computational Mechanics. Springer, 198. doi:10.1007/978-3-540-32360-0
  20. Kundu, T. (2008). Fundamentals of Fracture Mechanics. Boca Raton, FL, USA: CRC Press, Taylor and Francis Group, 304.
  21. Lebedev, A. A., Muzyka, N. R., Volchek, N. L. (2003). Metod diagnostiki sostoianiia materiala po parametram rasseianiia harakteristik tverdosti. Zavodskaya Laboratoriya. Diagnostika Materialov, 12, 49–51.
  22. Lebedev, A. A., Muzyka, N. R., Volchek, N. L. (2003). A new method of assessment of material degradation during its operating time. Zaliznychnyi Transport Ukrainy, 5, 30–33.

Published

2017-05-30

How to Cite

Kuzin, O., Kusyj, J., & Kuzin, N. (2017). Analysis of technological damageability of castings manufactured in sand molds. Technology Audit and Production Reserves, 3(1(35), 17–23. https://doi.org/10.15587/2312-8372.2017.104769

Issue

Section

Metallurgical Technology: Original Research