Experimental Investigation of boron carbide reinforced Al-Mg-Si alloy nano composites by the stir casting method using Machine learning algorithm

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Year : 2026 | Volume : 14 | 01 | Page :
    By

    Vasavi Ravuri,

  • Balingan Sangameswar,

  • T. S. Krishna Kumar,

  • Manthena Vijay,

  • Kaujala Prasanna Lakshmi,

  • Pashikanti Vaishnavi,

  • Kandukuri Harshitha,

  • Srihastha Tirunagari,

  1. Senior Assistant Professor, Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
  2. Assistant Professor, Department of Computer Science and Engineering (CyS, DS and AI & DS), VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
  3. Assistant Professor, Department of Automobile Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
  4. Assistant Professor, Department of Automobile Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
  5. Professor, Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India
  6. Student, Department of Computer Science and Engineering (CyS, DS and AI &DS), VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
  7. Student, Department of Computer Science and Engineering (CyS, DS and AI &DS), VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
  8. Student, Department of Computer Science and Engineering (CyS, DS and AI &DS), VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India

Abstract

For the purpose of this experiment, Al-Mg-Si alloys were manufactured with the use of the stir casting process with a metal mold. The alloys had different weight percentages of nano boron carbide, which ranged from 0 to 4% by weight. The intervals between the percentages were 0.5. Following that, the microstructural and mechanical parameters of the as-cast alloy and the nano composites were compared and contrasted according to ASTM Standards in order to assess the impact of B4C. The results of a microstructural analysis showed that the B4C nanoparticles were distributed virtually equally throughout the Al-Mg-Si matrix. Additionally, the manufacturing procedure can be considered to have been effective due to the fact that the stir casting technique only resulted in an insignificant number of pores that remained after the operation. The inclusion of nano boron carbide (nB4C) caused a substantial change in the mechanical characteristics of the alloy while it was in its as-cast form. The fabricated composites had a higher compressive strength (7.84%), ultimate tensile strength (22.75%), and hardness (25%) than the base material. The Python programming language was used to look at the graphical methods of mechanical properties.

Keywords: Al-Mg-Si Alloy, Nanoparticles, Mechanical Properties, and Python Programming.

How to cite this article:
Vasavi Ravuri, Balingan Sangameswar, T. S. Krishna Kumar, Manthena Vijay, Kaujala Prasanna Lakshmi, Pashikanti Vaishnavi, Kandukuri Harshitha, Srihastha Tirunagari. Experimental Investigation of boron carbide reinforced Al-Mg-Si alloy nano composites by the stir casting method using Machine learning algorithm. Journal of Polymer & Composites. 2026; 14(01):-.
How to cite this URL:
Vasavi Ravuri, Balingan Sangameswar, T. S. Krishna Kumar, Manthena Vijay, Kaujala Prasanna Lakshmi, Pashikanti Vaishnavi, Kandukuri Harshitha, Srihastha Tirunagari. Experimental Investigation of boron carbide reinforced Al-Mg-Si alloy nano composites by the stir casting method using Machine learning algorithm. Journal of Polymer & Composites. 2026; 14(01):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=239166


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Ahead of Print Subscription Original Research
Volume 14
01
Received 30/09/2025
Accepted 29/12/2025
Published 25/03/2026
Publication Time 176 Days
39

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