AccScience Publishing / IJOCTA / Volume 11 / Issue 2 / DOI: 10.11121/ijocta.01.2021.00990
RESEARCH ARTICLE

Taguchi’s method of optimization of fracture toughness parameters of AlSiCp composite using compact tension specimens

Hareesha Guddhur1* Chikkanna Naganna2 Saleemsab Doddamani3
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1 Department of Mechanical Engineering, Government Engineering College, HuvinaHadagali,VTU, Belagavi, India
2 Department of Aerospace Propulsion Technology, VTU, VIAT, Muddenahalli, Bangalore, VTU, Belagavi, India
3 Department of Mechanical Engineering, Jain Institute of Technology, Davangere, VTU, Belagavi, India
IJOCTA 2021, 11(2), 152–157; https://doi.org/10.11121/ijocta.01.2021.00990
Submitted: 14 June 2020 | Accepted: 18 April 2021 | Published: 20 April 2021
© 2021 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

The objective of this work is to investigate the process parameters which influence  the fracture toughness of aluminum-silicon carbide particulate composite prepared  using the stir casting technique. The Taguchi’s design of experiments is conducted  to analyze the process parameters. Three parameters considered are composition  of material, grain size and a/W ratio. From the Taguchi’s analysis, on compact  tension specimens, aluminum 6061 reinforced with 9 wt% of the silicon carbide  particles composite and a/W ratio of 0.45 are considered to be optimized  parameters. Taguchi's technique result shows that the increment in the a/W ratio  causes decrement in the load carrying capacity of the composite. Whereas the fine  grain size of silicon carbide have better toughness values. From the ANOVA  outcomes it is clear that the composition and a/W ratio of the geometry has more  influence on the fracture toughness than the grain size of reinforcement

Keywords
Al-SiCp
Fracture Toughness
Compact tension specimens
Taguchi’s method
ANOVA
Conflict of interest
The authors declare they have no competing interests.
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