Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

1.60

CiteScore

Asaad Kadhim Eqal This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Jawdat Ali Yagoob  2

1Southern Technical University / Amarah Technical institute, 44001 ,Iraq
2Northern Technical University / Kirkuk Technical College, 44001, Iraq


 

Received: December 21, 2020
Accepted: January 28, 2021
Publication Date: October 1, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202110_24(5).0002  


ABSTRACT


It is a transient non-linear phenomenon that poses a challenge in terms of modeling and analysis. This article was focused on the numerical modeling of the solidification of ZA alloy castings using ANSYS Fluent simulation software. For parametric analysis of the solidification process in casting, the numerical simulation was performed based on boundary conditions and grid-independent. The solidification approach is studied by observing the effect of changes in parameters concerning the distribution of temperature, fluid flow, solidification time, and mass fraction in different instances of solidification of ZA alloys on the solidification in relation with the time. The simulation results explained that the period between freezing start to freezing end temperature was increased from 30 to 40 and 54 by increasing aluminum content from 8 to 12 and 27 wt% respectively. Also, it was concluded that the solid-liquid interface advancement was in a linear manner, furthermore, the configuration of the cooling curve at two-phase co-existence portion was linear at 27 weight% aluminum content in the alloy while it became decline in shape when the aluminum percentage becomes lower. Finally, the solidification of the alloys generally took place in two stages. Solidification with slow rate at the initial stage, then with the more rapid rate at the second stage Metals and alloys solidification continues to be phenomena of great concern to physicists, metallurgists, casting engineers, and device developers.


Keywords: ZA alloy; modeling; mechanical properties, Ansys Fluent Approach, numerical simulation, parametric analysis


REFERENCES


  1. [1] R.J. Barnhurst. Gravity casting of zinc-aluminum (ZA) alloys — from theory to practice. In F. Weinberg International Symposium on Solidification Processing, pages 74–88. 1990.
  2. [2] E. Gervais, R. J. Barnhurst, and C. A. Loong. An Analysis of Selected Properties of ZA Alloys. JOM, 37(11):43– 47, nov 1985.
  3. [3] S. C. Sharma, B. M. Girish, Rathnakar Kamath, and B. M. Satish. Graphite particles reinforced ZA-27 alloy composite materials for journal bearing applications. Wear, 219(2):162–168, 1998.
  4. [4] S. Can Kurnaz, Hüseyin Sevik, Ahmet Türk, and Ugur Ozsarac. The effect of Ti-B and Sr on the mechanical behaviour of the Zinc-Aluminum-based ZA-12 alloy produced by gravity casting. International Journal of Materials Research, 97(8):1152–1157, 2006.
  5. [5] N P Yadav and Deepti Verma. Prediction of Solidification Behavior of Al Alloy in a Cube Mold Cavity. LOCAL, 9(12):1340–1348, 2015.
  6. [6] Menghuai Wu, Andreas Ludwig, and Abdellah Kharicha. Volume-averaged modeling of multiphase flow phenomena during alloy solidification, 2019.
  7. [7] Beenesh Maduriya and N. P. Yadav. Prediction Of Solidification Behaviour Of Alloy Steel Ingot Casting. In Materials Today: Proceedings, volume 5, pages 20380– 20390, 2018.
  8. [8] M T Sijo, K. R. Jayadevan, and Sheeja Janardhanan. Numerical simulation of centrifugal casting for functionally graded metal-matrix composites. International Journal of Mechanical Engineering and Technology, 8(4):66– 74, 2017.
  9. [9] Guohua Zhao, Qinglian Shu, and Bosheng Huang. Numerical simulation of thermoplastic composite material by ANSYS. In Advanced Materials Research, volume 279, pages 181–185, 2011.
  10. [10] R Zagórski and S. Golak. Modeling of solidification of mmc composites during gravity casting process. Metalurgija, 52(2):165–168, 2013.
  11. [11] Lijian Tan. Multiscale modeling of solidification of multicomponent alloys. (May):234, 2007.
  12. [12] Vladimir Grozdani´c. Finite-difference methods for simulating the solidification of castings. Materiali in tehnologije, 43(5):233–237, 2009.
  13. [13] Yingdong Qu, Rongde Li, Yanhua Bai, Ronxia Li, Hongwang Yang, and Ruichon Wang. Simulation of grain growing process of zinc-aluminium alloy under high pressure. In 69th World Foundry Congress 2010, WFC 2010, volume 3, pages 964–967, 2010.
  14. [14] Ying Zhang, Zelian Ni, and Jingxiao Han. Numerical simulation of semi-solid zinc alloy in solidification process [J]. Ordnance Material Science and Engineering, 1, 2013.
  15. [15] Xiaojun Xiang, Qiong Li, Shahnawaz Khan, and Osamah Ibrahim Khalaf. Urban water resource management for sustainable environment planning using artificial intelligence techniques. Environmental Impact Assessment Review, 86, 2021.
  16. [16] Milind E. Rane and Umesh S Bhadade. Comparative Study of ROI Extraction of Palmprint. IJCSN International Journal of Computer Science and Network,, 5(2), 2016.
  17. [17] Osamah Ibrahim Khalaf, Kingsley A. Ogudo, and Manwinder Singh. A fuzzy-based optimization technique for the energy and spectrum efficiencies tradeoff in cognitive radio-enabled 5g network. Symmetry, 13(1):1–14, 2021.
  18. [18] Abdulsattar Abdullah Hamad, Ahmed S. Al-Obeidi, Enas H. Al-Taiy, Osamah Ibrahim Khalaf, and Dac Nhuong Le. Synchronization phenomena investigation of a new nonlinear dynamical system 4D by gardano’s and lyapunov’s methods. Computers, Materials and Continua, 66(3):3311–3327, 2020.
  19. [19] M Agapie, I Peter, and B Varga. Structure of cooled Zn-Al eutectoid based alloys in biphasic domain. J. Optoelectron. Adv. Mater, 17:1842–1848, 2015. [20] Milind Rane, Tejas Latne, and Umesh Bhadade. Biometric Recognition Using Fusion. ICDSMLA, pages 1320–1329, 2019.


    



 

1.6
2022CiteScore
 
 
60th percentile
Powered by  Scopus

SCImago Journal & Country Rank

Enter your name and email below to receive latest published articles in Journal of Applied Science and Engineering.