Recognition and Optimization of Wear Behaviour of Al 6081 with Polymeric Nanocomposites Using Machine Learning

The Al 6081 alloy is broadly used in numerous engineering requests due to its excellent mechanical properties. However, its resistance of wear parameter is not satisfactory. In this study, the wear resistance of Al 6081 alloy reinforced with Graphene nanoplatelets (GNPs) at three different percentag...

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Bibliographic Details
Published in2023 4th International Conference on Smart Electronics and Communication (ICOSEC) pp. 1394 - 1400
Main Authors Kumar, Jaidev, Pawar, Sanjay R., Ashish, Kamalakar, V, Karuppathal, R, Bhange, Anup D
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.09.2023
Subjects
Al 6081
Machine learning
Mechanical factors
Metals
Nanocomposites
Neural Network
Neural networks
Optimization
Resistance
Scanning electron microscopy
wear analysis
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Summary:The Al 6081 alloy is broadly used in numerous engineering requests due to its excellent mechanical properties. However, its resistance of wear parameter is not satisfactory. In this study, the wear resistance of Al 6081 alloy reinforced with Graphene nanoplatelets (GNPs) at three different percentages (0.3%, 0.6%, and 0.9%) was investigated using Taguchi L27 array design. Machine learning techniques such as Signal to Noise ratio and Neural Networks were used to forecast the responses and optimize the wear behaviour of the Al 6081 alloy. The wear track was identified using Scanning Electron Microscopy (SEM) images. The results of the study indicate that the addition of GNPs improves the wear resistance of the Al 6081 alloy. The percentage of GNPs reinforcement that gives the best wear resistance is determined using the Taguchi L27 array design. It is found that 5% GNPs additives reduces the wear compared to other composition, 1% and 3%. This study provides a deeper understanding of the wear behaviour of Al 6081 alloy reinforced with GNPs and can be used as a reference for future research in this field. The use of machine learning techniques in this study provides a new approach for the optimization of wear behaviour in Al 6081 alloy reinforced with GNPs, which can be applied in various industrial applications. Overall, the consequences of this study validate that incorporating 0.9% GNPs in Al 6081 alloy is an operative way to advance its wear resistance properties.
DOI:10.1109/ICOSEC58147.2023.10275926