1.
Bharath, L.; Kumaraswamy, J.; Manjunath, T. V.; Kulkarni, S. K. N.
In: Multiscale and Multidisciplinary Modeling, Experiments and Design, vol. 7, pp. 5387-5399,, 2024, ISBN: 25208179 (ISSN), (5).
@article{6,
title = {Evaluation of microstructure and prediction of hardness of Al–Cu based composites by using artificial neural network and linear regression through machine learning technique},
author = {L. Bharath and J. Kumaraswamy and T. V. Manjunath and S. K. N. Kulkarni},
doi = {10.1007/s41939-024-00525-0},
isbn = {25208179 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Multiscale and Multidisciplinary Modeling, Experiments and Design},
volume = {7},
pages = {5387-5399,},
publisher = {Springer Science and Business Media B.V.},
abstract = {Al–Cu alloy with B4C particulates will meet the specific application which includes window panel, seats, aircraft structure and aircraft fittings due to their excellent mechanical properties. In this paper, Al–Cu/B4C composites was fabricated by using three parameters (wt% of B4C, ageing duration and mesh size) with three level each as per the design of experiments. Al–Cu/B4C composites were machined as per IS:1500 standard to evaluate hardness by experimental method. An Artificial Neural Network model was developed by using the Levenberg–Marquardt algorithm to predict the experimental hardness value of formed composites. Linear Regression model is created and evaluated by taking 30% of experimental data set for testing and 70% for training. Polynomial feature is imported with only 2° with their interaction only. It is seen that the established ANN model predicts the closeness with the experimental hardness within ± 10% error. It is seen that 14.58% improvement was been observed after considering polynomial feature for the linear regression model. In addition, microstructure study was discussed for the fabricated composites as per IS:7739 standard and observed that B4C particles were homogeneously dispersed in the Al–Cu based matrix and exhibit good bonding between them. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.},
note = {5},
keywords = {MECH},
pubstate = {published},
tppubtype = {article}
}
Al–Cu alloy with B4C particulates will meet the specific application which includes window panel, seats, aircraft structure and aircraft fittings due to their excellent mechanical properties. In this paper, Al–Cu/B4C composites was fabricated by using three parameters (wt% of B4C, ageing duration and mesh size) with three level each as per the design of experiments. Al–Cu/B4C composites were machined as per IS:1500 standard to evaluate hardness by experimental method. An Artificial Neural Network model was developed by using the Levenberg–Marquardt algorithm to predict the experimental hardness value of formed composites. Linear Regression model is created and evaluated by taking 30% of experimental data set for testing and 70% for training. Polynomial feature is imported with only 2° with their interaction only. It is seen that the established ANN model predicts the closeness with the experimental hardness within ± 10% error. It is seen that 14.58% improvement was been observed after considering polynomial feature for the linear regression model. In addition, microstructure study was discussed for the fabricated composites as per IS:7739 standard and observed that B4C particles were homogeneously dispersed in the Al–Cu based matrix and exhibit good bonding between them. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
2.
Chandrasekhar, G. L.; Vijayakumar, Y.; Nagaral, M.; Rajesh, A.; Manjunath, K.; Kaviti, R. V. P.; Auradi, V.
Synthesis and tensile behavior of Al7475-nano B4C particles reinforced composites at elevated temperatures Journal Article
In: Materials Physics and Mechanics, vol. 52, pp. 44-57,, 2024, ISBN: 16052730 (ISSN), (0).
@article{31,
title = {Synthesis and tensile behavior of Al7475-nano B4C particles reinforced composites at elevated temperatures},
author = {G. L. Chandrasekhar and Y. Vijayakumar and M. Nagaral and A. Rajesh and K. Manjunath and R. V. P. Kaviti and V. Auradi},
doi = {10.18149/MPM.5232024_5},
isbn = {16052730 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Materials Physics and Mechanics},
volume = {52},
pages = {44-57,},
publisher = {Institute for Problems in Mechanical Engineering, Russian Academy of Sciences},
abstract = {Materials with superior mechanical and wear properties, high strength, high stiffness, and low weight are necessary for modern technology. Mechanical characteristics of metal matrix composites are crucial to their potential use as structural materials. The current research focuses on the preparation of Al7475 alloy with 400 to 500 nm sized B4C a composite using a liquid metallurgy technique. Al7475 alloy was used to make composites with 2, 4, 6, 8 and 10 wt. % of B4C particles. Microstructural analysis was performed on the produced composites using SEM and EDS. Density, hardness, ultimate strength, yield strength, and elongation as a percentage were all measured as per ASTM norms. Further, tensile tests were conducted at room temperature, 50 and 100 °C elevated temperatures. SEM images showed that the boron carbide particles were evenly dispersed throughout the Al7475 alloy. EDS spectrums verified that Al7475 alloy contains boron carbide particles. By incorporating dual particles into the matrix, the density of Al alloy composites was lowered. Al7475 alloy with B4C composites exhibited superior tensile properties at room and elevated temperatures as compared to the base alloy. © G.L. Chandrasekhar, Y. Vijayakumar, M. Nagaral, A. Rajesh, K. Manjunath, R. Vara Prasad Kaviti, Virupaxi Auradi, 2024.},
note = {0},
keywords = {MECH},
pubstate = {published},
tppubtype = {article}
}
Materials with superior mechanical and wear properties, high strength, high stiffness, and low weight are necessary for modern technology. Mechanical characteristics of metal matrix composites are crucial to their potential use as structural materials. The current research focuses on the preparation of Al7475 alloy with 400 to 500 nm sized B4C a composite using a liquid metallurgy technique. Al7475 alloy was used to make composites with 2, 4, 6, 8 and 10 wt. % of B4C particles. Microstructural analysis was performed on the produced composites using SEM and EDS. Density, hardness, ultimate strength, yield strength, and elongation as a percentage were all measured as per ASTM norms. Further, tensile tests were conducted at room temperature, 50 and 100 °C elevated temperatures. SEM images showed that the boron carbide particles were evenly dispersed throughout the Al7475 alloy. EDS spectrums verified that Al7475 alloy contains boron carbide particles. By incorporating dual particles into the matrix, the density of Al alloy composites was lowered. Al7475 alloy with B4C composites exhibited superior tensile properties at room and elevated temperatures as compared to the base alloy. © G.L. Chandrasekhar, Y. Vijayakumar, M. Nagaral, A. Rajesh, K. Manjunath, R. Vara Prasad Kaviti, Virupaxi Auradi, 2024.
3.
Basavaraj, K.; Elangovan, K.; Shankar, S.
Effects of Al2O3 Concentration in Ethylene Glycol on Convection Heat Transfer Coefficient Journal Article
In: International Journal of Vehicle Structures and Systems, vol. 15, pp. 345-350,, 2023, ISBN: 09753060 (ISSN), (0).
@article{48,
title = {Effects of Al2O3 Concentration in Ethylene Glycol on Convection Heat Transfer Coefficient},
author = {K. Basavaraj and K. Elangovan and S. Shankar},
doi = {10.4273/ijvss.15.3.12},
isbn = {09753060 (ISSN)},
year = {2023},
date = {2023-01-01},
journal = {International Journal of Vehicle Structures and Systems},
volume = {15},
pages = {345-350,},
publisher = {MechAero Found. for Techn. Res. and Educ. Excellence},
abstract = {The energy demand is more in the world due to increase in the populations. The sustainable and clean renewable energy is required to meet the demand. The solar energy with nanofluid used as heat transfer medium is the best alternative source to enhance the rate of heat transfer. The nanofluids are the suspended nano sized particles in the water, ethylene glycol or oil. The stability analysis of Al2O3 ethylene glycol carried out using zeta potential method. The 20nm sized Al2O3 nanoparticles with volume concentration from 0.01% to 1% in ethylene glycol is used as nanofluid to study the effects of concentration on convective heat transfer coefficient (HTC) and wall function HTC at temperature 298K and mass flow rate 0.033kg/s. The investigation also carried out to study the effects of concentration on its thermophysical properties of nanofluid. ANSYS fluent software used to carry out the numerical analysis with suitable thermal boundary conditions. © 2023. Carbon Magics Ltd.},
note = {0},
keywords = {MECH},
pubstate = {published},
tppubtype = {article}
}
The energy demand is more in the world due to increase in the populations. The sustainable and clean renewable energy is required to meet the demand. The solar energy with nanofluid used as heat transfer medium is the best alternative source to enhance the rate of heat transfer. The nanofluids are the suspended nano sized particles in the water, ethylene glycol or oil. The stability analysis of Al2O3 ethylene glycol carried out using zeta potential method. The 20nm sized Al2O3 nanoparticles with volume concentration from 0.01% to 1% in ethylene glycol is used as nanofluid to study the effects of concentration on convective heat transfer coefficient (HTC) and wall function HTC at temperature 298K and mass flow rate 0.033kg/s. The investigation also carried out to study the effects of concentration on its thermophysical properties of nanofluid. ANSYS fluent software used to carry out the numerical analysis with suitable thermal boundary conditions. © 2023. Carbon Magics Ltd.