Corrosion and Tribological Characteristics of FSPed Aluminum Alloy AA5052

Kumar, B G Yashwanth; Kumar, R Lokesh; Ramalingam, Vaira Vignesh; Viswanath, J Kaasi; Harikeshava, R.; Padmanaban, R.

doi:10.7225/toms.v11.n02.w03

Cited by 3 publications

(1 citation statement)

References 39 publications

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“…RBF is a neural network using RBF as the activation function that has the advantages of simple training and fast convergence, but its interpretation is poor, and it cannot work when the data are insufficient. Therefore, RBF is mainly used in the field of function approximation [ 36 ]. Ensemble is an algorithm that accomplishes a learning task by building and combining multiple learners.…”

Section: Methodsmentioning

confidence: 99%

Accelerated First-Principles Calculations Based on Machine Learning for Interfacial Modification Element Screening of SiCp/Al Composites

Du,

Qu,

Zhang

et al. 2024

Materials

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SiCp/Al composites offer the advantages of lightweight construction, high strength, and corrosion resistance, rendering them extensively applicable across various domains such as aerospace and precision instrumentation. Nonetheless, the interfacial reaction between SiC and Al under high temperatures leads to degradation in material properties. In this study, the interface segregation energy and interface binding energy subsequent to the inclusion of alloying elements were computed through a first-principle methodology, serving as a dataset for machine learning. Feature descriptors for machine learning undergo refinement via feature engineering. Leveraging the theory of machine-learning-accelerated first-principle computation, six machine learning models—RBF, SVM, BPNN, ENS, ANN, and RF—were developed to train the dataset, with the ANN model selected based on R2 and MSE metrics. Through this model, the accelerated computation of interface segregation energy and interface binding energy was achieved for 89 elements. The results indicate that elements including B, Si, Fe, Co, Ni, Cu, Zn, Ga, and Ge exhibit dual functionality, inhibiting interfacial reactions while bolstering interfacial binding. Furthermore, the atomic-scale mechanism elucidates the interfacial modulation of these elements. This investigation furnishes a theoretical framework for the compositional design of SiCp/Al composites.

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Section: Methodsmentioning

confidence: 99%

Accelerated First-Principles Calculations Based on Machine Learning for Interfacial Modification Element Screening of SiCp/Al Composites

Du,

Qu,

Zhang

et al. 2024

Materials

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Effect of tool rotational speed on mechanical and tribological characteristics of friction stir processed CuNi/ZrC surface composites

Velmurugan,

Subramanian,

Ramalingam

et al. 2024

emergent mater.

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Sacrificial anode materials to protect marine grade steel structures: a review

Vaira Vignesh,

Sathiya

2024

Corrosion Reviews

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Marine structures are constantly exposed to the corrosive effects of seawater, making effective corrosion protection crucial for their longevity and performance. Sacrificial anodes, commonly made of zinc, aluminum, or magnesium alloys, are widely employed to mitigate corrosion by sacrificing themselves to protect the steel structures. However, the selection and implementation of sacrificial anode materials present various challenges that need to be addressed. This paper explores the challenges associated with sacrificial anode materials for steel structures and provides potential solutions. To overcome these challenges, the paper proposes solutions such as using advanced alloy compositions, protective coatings, hybrid anode systems, and improved design considerations. Furthermore, the importance of monitoring techniques to assess the performance and remaining lifespan of sacrificial anodes is emphasized. Several case studies and experimental findings are discussed to illustrate the effectiveness and limitations of sacrificial anode materials based on zinc alloys, aluminum alloys, and magnesium alloys. The paper highlights the need for ongoing research and development efforts to address the evolving demands of corrosion protection in marine environments.

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Corrosion and Tribological Characteristics of FSPed Aluminum Alloy AA5052

Cited by 3 publications

References 39 publications

Accelerated First-Principles Calculations Based on Machine Learning for Interfacial Modification Element Screening of SiCp/Al Composites

Accelerated First-Principles Calculations Based on Machine Learning for Interfacial Modification Element Screening of SiCp/Al Composites

Effect of tool rotational speed on mechanical and tribological characteristics of friction stir processed CuNi/ZrC surface composites

Sacrificial anode materials to protect marine grade steel structures: a review

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