Nanoindentation responses of black anodic coating on additively manufactured Al–10Si–Mg alloy

Ghosh, Rabindra; Dey, Arjun; Kavitha, M.K.; Thota, Hari Krishna; Dhan, Sarmistha; Rajendra, A.; Das, Karabi

doi:10.1016/j.ceramint.2022.09.110

Cited by 1 publication

(13 citation statements)

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“…The nanoindentation experiments were carried out on both plan-and cross-sections of the coating. The extensive details of the material, anodization process, and nanoindentation experiments are mentioned in the authors' earlier work [6,7].…”

Section: Materials and Methodologymentioning

confidence: 99%

“…As discussed in the following sections, these data points culminated together to form the data sets for predicting and generating P-h curves using AI/ML technique. The surface morphology of the anodic coating reveals mud-crack-like morphology with numerous irregularities, micro-channels, and grooves [6,7]; hence, multiple nanoindentation experiments (24 numbers) are required to deal with the scatter in the data due to aforesaid microstructural inhomogeneity. The scatter in data in nanomechanical properties was dealt with the application of Weibull distribution for the differently coated materials systems [26][27][28], however the attempt of AI/ML technique to deal scatter in data and further to predict characteristic modulus and harness are yet not attempted in literature.…”

Section: Materials and Methodologymentioning

confidence: 99%

“…A typical nanoindentation experimental data consists of several P-h plots on anodic coating at the same load to normalize the scatter in the dataset. In the present study, nanomechanical properties such as E and H, were measured on the plan-and cross-sections of the anodic coating for 10, 20, 30, 40, and 50 mN loads [7]; and ∼24 nos. of indentations were carried out at each load.…”

Section: Database Collectionmentioning

confidence: 99%

“…Aluminum alloys in wrought or cast are used in various stages of launch vehicle and spacecraft assembly due to their lightweight and high strength-to-weight ratio. Of all the aluminum alloys, Al-10Si-Mg alloy is amenable to AM, as explained by the several researchers [5][6][7]. Authors have developed a novel process for anodization on this alloy, and the results on microscopy, phase analysis, nanomechanical, corrosion, and thermo-optical properties have been published elsewhere [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…Of all the aluminum alloys, Al-10Si-Mg alloy is amenable to AM, as explained by the several researchers [5][6][7]. Authors have developed a novel process for anodization on this alloy, and the results on microscopy, phase analysis, nanomechanical, corrosion, and thermo-optical properties have been published elsewhere [6,7]. Authors have also conducted detailed nanomechanical studies on the anodic coating through indentation experiments at different loads [7].…”

Section: Introductionmentioning

confidence: 99%

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Artificial neural network-based approach for prediction of nanomechanical properties of anodic coating on additively manufactured Al–10Si–Mg alloy

Ghosh,

Sahu,

Dey

et al. 2024

Modelling Simul. Mater. Sci. Eng.

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Nowadays, anodized coating on additively manufactured (AM) or 3D printed Al-10Si-Mg alloy are used for various components in spacecraft such as antenna feeds, wave guides, structural brackets, collimators, thermal radiators etc. In this study, Artificial Neural Network (ANN) and Power law-based models are developed from experimental nanoindentation data for predicting elastic modulus and hardness of anodized AM Al-10Si-Mg at any desired loads. Data from nanoindentation experiments conducted on plan- and cross-sections of anodized coating on AM Al-10Si-Mg alloy was considered for modelling. Apart from nanomechanical properties, load and displacement curves were predicted using Python software from ANN and the Power law model of nanoindentation. It is observed that the ANN model of 50 mN nanoindentation experimental data can accurately predict the loading pattern at any desired load below 50 mN. Elastic modulus and hardness of anodized AM Al-10Si-Mg computed from ANN and the power law model of the unloading curve are also comparable with the values obtained from Weibull distribution analysis reported elsewhere. The derived models were also used to predict nanomechanical properties at 25 and 35 mN, for which no experimental data was available. The computed hardness of plan section of the anodic coating is 3.99 and 4.02 GPa for 25 and 35 mN, respectively. The computed hardness of cross-section of the anodic coating of is 7.16 and 6.61 GPa for 25 and 35 mN, respectively. Thus, the ANN and Power law model of nanoindentation can predict elastic modulus and hardness at different loads by conducting the minimum number of experiments. The novel approach to predict nanomechanical properties using ANN resulted in determining realistic and design specific data on hardness and modulus of the anodized coating on AM Al-10Si-Mg alloy.

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Section: Materials and Methodologymentioning

confidence: 99%