An Empirical Study of Hot-Extruded Recycled Aluminium Alloy Chips in 2014

Authors

  • Rupesh Kumar Gupta  Department of Physics, Rama Bai Government women P. G. College, Akabarpur, Ambedkar Nagar Uttar Pradesh, India
  • Dr Mahendra Yadav  Department of Physics, Rama Bai Government women P. G. College, Akabarpur, Ambedkar Nagar Uttar Pradesh, India
  • Suryakant  Department of Physics, Rama Bai Government women P. G. College, Akabarpur, Ambedkar Nagar Uttar Pradesh, India

DOI:

https://doi.org/10.32628/IJSRST52310572

Keywords:

AA2014, Regression analysis (RA), ANOVA

Abstract

It has been discovered that the conventional method of recycling aluminum, which entails remelting the garbage, leads to several environmental problems, material inefficiencies, and energy resource depletion. The purpose of this research is to develop a way of recycling AA2014 aluminum that is both efficient and kind on the environment. Turning waste chips were collected, crushed into billets, and heated before being extruded. The design of the tests was carried out in accordance with the DOE methodology. Extrusion temperature and ratio were the distinguishing features of the recycling procedure. Researchers used tools like RA and ANOVA to develop mathematical models with solid statistical foundations. Both the ultimate tensile strength and the yield strength of the extruded aluminum are shown to be affected by the extrusion parameters using the equations used in this study. The investigation found that the tensile and yield strengths of the specimens were significantly affected by both the extrusion temperature and the extrusion ratio. To achieve the highest possible levels of the extrudates' aforementioned mechanical characteristics, an optimization procedure was carried out.

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Published

2023-10-30

Issue

Section

Research Articles

How to Cite

[1]
Rupesh Kumar Gupta, Dr Mahendra Yadav, Suryakant "An Empirical Study of Hot-Extruded Recycled Aluminium Alloy Chips in 2014" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 5, pp.517-525, September-October-2023. Available at doi : https://doi.org/10.32628/IJSRST52310572