Optimization of Process Parameters of Fatigue Strength of Aluminium Alloy
Authors: Achekuogene, S.N. And *Atoe, H.
DOI Info: http://doi.org/10.5281/zenodo.21048360
ABSTRACT
The optimization of process parameters of fatigue strength of aluminium alloy (AA 6061) has been successfully carried out. This involves refining the manufacturing variables to minimize internal defects and provide a fine homogeneous structure. Materials in any form depend on the influence of mechanical properties. If the strength of materials is compromised it could invariably jeopardize the structural ability of the facility. Fatigue strength of materials accounts for the maximum stress level attained when materials undergo repeated stresses. In determining the fatigue strength of aluminium alloy, Design of Experiment (DOE) platform was used to project the parametric conditions of the study. Optimal levels of the parameters were determined using Taguchi Design and Analysis of Variance (ANOVA). The optimal levels of sand casting parameters such as pouring temperature, pouring time and runner size were determined to be 760 oC, 15 s and 200 mm2 respectively. Statistical analysis by ANOVA showed that the pouring temperature and pouring time were significant with a p-value of 0.001 and 0.002 respectively. The multiple linear regression technique yielded the mathematical model which was determined to be significant with a p-value of 0.001. The Signal-to-noise ratio revealed that the pouring temperature was the most influential parameter among the process parameters studied.
Affiliations: Department of Mechanical Engineering, Edo State University, Iyamho, Nigeria.
Keywords: Fatigue Strength Taguchi Design ANOVA Aluminum Alloy Optimization
Published date: 2026/06/30
