Науковий вісник НГУ

Determination of bronze БрА7К2О1,5Мц0,3 crystallization interval limit values and phase transformations

• 
• 

User Rating:  / 0

PoorBest 

Details

Parent Category: 2025

Category: Content №4 2025

Created on 26 August 2025

Last Updated on 26 August 2025

Published on 30 November -0001

Written by T. V. Kimstach, K. I. Uzlov, O. P. Bilyi, L. I. Solonenko, S. I. Repyakh

Hits: 3393

Authors:

T. V. Kimstach, orcid.org/0000-0002-8993-201X, Ukrainian State University of Science and Technologies, Dnipro, Ukraine;  Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Dnipro, Ukraine, Е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

K. I. Uzlov, orcid.org/0000-0003-0744-9890, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, Е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O. P. Bilyi, orcid.org/0000-0003-1234-5404, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, Е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

L. I. Solonenko, orcid.org/0000-0003-2092-8044, Odesa Polytechnic National University, Odesa, Ukraine, Е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

S. I. Repyakh*, orcid.org/0000-0003-0203-4135, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, Е-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2025, (4): 079 - 089

https://doi.org/10.33271/nvngu/2025-4/079

Abstract:

Phase transformations temperatures, crystallization intervals, etc. are any alloy’s fundamental parameters. Alloys’ casting, technological and operational properties are related to them. Nevertheless, unlike two-component bronzes, such requirements for multi-component structural, non-magnetic, corrosion-resistant bronze БрА7К2О1,5Мц0,3 are absent.

Purpose. For Cu-Al-Si-Sn-Mn system bronzes, crystallization intervals quantitative values (liquidus and solidus temperatures, crystallization interval size and solid phase relative share in it) have been established. БрА7К2О1,5Мц0,3 bronze’s alloying components’ synergistic and selective influence on its crystallization interval and relative fluidity indicators changing has been determined.

Methodology. Well-known methods and research techniques, including thermography, differential thermal analysis, spectral chemical analysis, images analysis digital method have been used in this work. Bronzes fluidity has been assessed using spiral test. Bronze’s alloying elements’ synergistic and selective influences on its characteristics have been determined using chemical elements ratio in it (K_R criterion) and experimental data results processing by Excel computer program.

Findings. In bronze БрА7К2О1,5Мц0,3 with K_R criterion value rising from 0.35 to 0.84, there increase liquidus, solidus temperatures and crystallization interval from 32 to 49 °C. Bronze’s alloying elements’ (Al, Si, Sn, Mn) synergistic and selective influences on its crystallization interval limit values have been determined. It has been established that conditionally-veritable fluidities of БрА7К3О1,5Мц0,3 and БрА9Ж3Л bronzes are practically the same. For Cu-Al-Si-Sn-Mn system bronzes with K_R = 0.35‒2.07, solid phase relative volume fraction (_SP) in crystallization temperature range is 60‒63 %.

Originality. For the first time, limiting values and phase transformations for БрА7К2О1,5Мц0,3 bronze’s crystallization interval and alloying elements synergistic and selective influence on these indicators have been determined.

Practical value. Based on БрА7К2О1,5Мц0,3 bronze’s chemical composition selected, mathematical models have been proposed for its liquidus and solidus temperatures calculating and for transition from dependences of solid phase t(_SP) volume fraction in crystallization temperature range to temperatures’ absolute values t(_SP). Their use will allow increasing the indicators of foundry and technological parameters accuracy forecasting.

Keywords: bronze, liquidus, solidus, crystallization interval, fluidity, temperature

References.

1. Bellón, B., Boukellal, A. K., Isensee, T., Wellborn, O. M., Trumble, K. P., Krane, M. J. M., …, & LLorca, J. (2021). Multiscale prediction of microstructure length scales in metallic alloy casting. Acta Materialia, 207, 16686. https://doi.org/10.1016/j.actamat.2021.116686

2. Kumar Mohanty, U., & Sarangi, H. (2020). Solidification of Metals and Alloys. Casting Processes [Working Title]. IntechOpen. https://doi.org/10.5772/intechopen.94393

3. Liu, Q., Zhang, X., Wang, B., & Wang, B. (2012). Control Technology of Solidification and Cooling in the Process of Continuous Casting of Steel. Science and Technology of Casting Processes. InTech. https://doi.org/10.5772/51457

4. Farahany, S., Erfani, M.,  & Karamoozian, A.O. (2010). Artificial Neural Networks to Predict Liquidus Temperature in Hypoeutectic Al-Si Cast Alloys. Journal of Applied Sciences, 10(24), 3243-3249. https://doi.org/10.3923/jas.2010.3243.3249

5. Kőrösy, G., Roósz, A., & Mende, T. (2024). The Concept of the Estimation of Phase Diagrams (An Optimised Set of Simplified Equations to Estimate Equilibrium Liquidus and Solidus Temperatures, Partition Ratios, and Liquidus Slopes for Quick Access to Equilibrium Data in Solidification Software) Part I: Binary Equilibrium Phase Diagrams. Metals, 14(11), 1266. https://doi.org/10.3390/met14111266

6. Okamoto, H. (2019). Supplemental Literature Review of Binary Phase Diagrams: Au-La, Ce-Pt, Co-Pt, Cr-S, Cu-Sb, Fe-Ni, Lu-Pd, Ni-S, Pd-Ti, Si-Te, Ta-V, and V-Zn. Journal of Phase Equilibria and Diffusion, 40(5), 743-756. https://doi.org/10.1007/s11669-019-00760-w

7. Rogal, L., Bobrowski, P., Körmann, F., Divinski, S., Stein, F., & Grabowski, B. (2017). Computationally-driven engineering of sublattice ordering in a hexagonal AlHfScTiZr high entropy alloy. Scientific Reports, 7(1). https://doi.org/10.1038/s41598-017-02385-w

8. Mende, T., Tatárka, E., Kőrösy, G., & Roósz, A. (2014). Liquidus and Solidus Temperature Calculation in Al-Cu-Fe System by ESTPHAD Method. Materials Science Forum, 790-791, 259-264. https://doi.org/10.4028/www.scientific.net/msf.790-791.259

9. Gryc, K., Smetana, B., Strouhalová, M., Žaludová, M., Michalek, K., Zlá, S., …, & Dobrovská, J. (2014). Determination of solidus and liquidus temperatures in the low carbon steel using three devices for high-temperature thermal analysis and specialized programs. MeTal, (pp. 57-63).

10.      Shinde, V. D. (2018). Thermal Analysis of Ductile Iron Casting. Advanced Casting Technologies. InTech. https://doi.org/10.5772/intechopen.72030

11.      Lever Rule (Phase Diagrams & Computational Thermodynamics). NIST/MML Center for Theoretical and Computational Materials Science/NIST. Retrieved from https://www.ctcms.nist.gov/~kattner/solidifc/lever.html

12.      ASM International (2016). ASM Metals Handbook. Volume 03: Alloy Phase Diagrams. Retrieved from http://www.asminternational.org/search/-/journal_content/56/10192/25871543/PUBLICATION

13.      Uzlov, K. I., Repyakh, S. I., Kimstach, Т. V., & Karpova, T. P. (2024). Eutectic-peritectic nature of structure formation of copper angle alloys of the Cu-Sn-Al system. Innovative technologies in science and education. European experience, (pp. 214-220). Jourfond.

14.      Kimstach, T. V., & Uzlov, K. I. (2025). Chemical composition influence on mechanical properties of Cu-Al-Si-Sn-Mn system bronze during its solidification in die mold. System technologies, 2(157), 135-145.

• < Prev
• Next >