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Vinayagam Mohanavel

Bio: Vinayagam Mohanavel is an academic researcher from Bharath University. The author has contributed to research in topics: Ultimate tensile strength & Welding. The author has an hindex of 11, co-authored 68 publications receiving 388 citations.

Papers published on a yearly basis

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Journal ArticleDOI
TL;DR: In this article, Al-Si-Mg is employed as matrix material and silicon nitride (Si3N4) particles as reinforcement material to manufacture the aluminum composites (AMCs).
Abstract: In the current research study, AA6351 (Al-Si-Mg) is employed as matrix material and silicon nitride (Si3N4) particles as reinforcement material to manufacture the aluminum composites (AMCs). AA6351 matrix composites incorporated with several weight fractions of Si3N4 (0, 1, 2 and 3 wt.%) were synthesized via stir casting technique. The obtained composites were characterized through a scanning electron microscope (SEM), X-ray diffraction (XRD) and energy dispersive X-ray analysis (EDS). EDS and XRD spectrums demonstrate the presence of Si3N4 reinforcement contents in the manufactured AMCs. The SEM analysis exhibits the even dissemination of Si3N4 particles in the Al alloy. The mechanical properties of the composites are examined by conducting several kinds of tests like compression test, impact test, tensile test and hardness test to understand the relationship between the weight percentages of reinforcement on the mechanical characteristics of the manufactured AMCs. The un-lubricant tribological characteristics of the proposed AMCs were assessed utilizing pin on disk tribometer. The hardness, compression and tensile strength of the AMCs were augmented concerning the mass proportion of reinforcement content. Finally, the wear test result reveals that the addition of nano-sized Si3N4 reinforcement contents up to a mass proportion of 3% downgrades the wear rate.

144 citations

Journal ArticleDOI
TL;DR: In this article, the influence of fiber content, stacking pattern, and their sequence on the mechanical properties of hybrid composites in four varieties of four types of composite materials was investigated.
Abstract: The objective of this work is to find the influence of fiber content, stacking pattern, and their sequence on the mechanical properties of hybrid composites Hybrid composites in four varieties wit

84 citations

Journal ArticleDOI
01 May 2021-Vacuum
TL;DR: In this article, the friction spot extrusion welding-brazing (FSEW-B) process was employed to join AA5083-H112 aluminum alloy and pure Cu via the use of a Zn interlayer to improve the mechanical properties of the dissimilar joint.

58 citations

Journal ArticleDOI
TL;DR: In this paper, the hybrid composites were prepared from ramie and jute natural as reinforcement, an epoxy polymer as a matrix, and SiC and cellulose as fillers via hand layup process.
Abstract: In this study, the hybrid composites were prepared from ramie and jute natural as reinforcement, an epoxy polymer as a matrix, and SiC and cellulose as fillers via hand layup process. Mechanical an...

58 citations

Journal ArticleDOI
TL;DR: Additive manufacturing or 3D printing is one of the developing technologies of the manufacturing field as discussed by the authors, it is a time-saving and cost-efficient technique, it can make stronger and light-weighted products within a short period.

51 citations


Cited by
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Journal ArticleDOI
TL;DR: The results show that the VGG16 architecture gives better accuracy compared to other architectures for COVID-19, a novel pandemic that has emerged as a pandemic in recent years.
Abstract: SARS-CoV-2 is a novel virus, responsible for causing the COVID-19 pandemic that has emerged as a pandemic in recent years. Humans are becoming infected with the virus. In 2019, the city of Wuhan reported the first-ever incidence of COVID-19. COVID-19 infected people have symptoms that are related to pneumonia, and the virus affects the body's respiratory organs, making breathing difficult. A real-time reverse transcriptase-polymerase chain reaction (RT-PCR) kit is used to diagnose the disease. Due to a shortage of kits, suspected patients cannot be treated promptly, resulting in disease spread. To develop an alternative, radiologists looked at the changes in radiological imaging, like CT scans, that produce comprehensive pictures of the body of excellent quality. The suspected patient's computed tomography (CT) scan is used to distinguish between a healthy individual and a COVID-19 patient using deep learning algorithms. A lot of deep learning methods have been proposed for COVID-19. The proposed work utilizes CNN architectures like VGG16, DeseNet121, MobileNet, NASNet, Xception, and EfficientNet. The dataset contains 3873 total CT scan images with “COVID” and “Non-COVID.” The dataset is divided into train, test, and validation. Accuracies obtained for VGG16 are 97.68%, DenseNet121 is 97.53%, MobileNet is 96.38%, NASNet is 89.51%, Xception is 92.47%, and EfficientNet is 80.19%, respectively. From the obtained analysis, the results show that the VGG16 architecture gives better accuracy compared to other architectures.

73 citations

Journal ArticleDOI
TL;DR: In this paper , the main energy-related features of building-integrated photovoltaic (BIPV) modules and systems are reviewed to serve as a reference for researchers, architects, BIPV manufacturers, and designers.

49 citations

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TL;DR: In this article, the microwave properties of epoxy composites filled with 30 wt.% of CNTs were investigated in the frequency range 36-55 GHz, and a sufficient increase in the microwave shielding efficiency was found for ternary 1.1 ≤ x ≤ 1.2.
Abstract: The microwave properties of epoxy composites filled with 30 wt.% of BaFe12–xGaxO19 (0.1 ≤ x ≤ 1.2) and with 1 wt.% of multi-walled carbon nanotubes (CNTs) were investigated in the frequency range 36–55 GHz. A sufficient increase in the microwave shielding efficiency was found for ternary 1 wt.%CNT/30 wt.% BaFe12–xGaxO19/epoxy composites compared with binary 1% CNT/epoxy and 30 wt.% BaFe12–xGaxO19/epoxy due to the complementary contributions of dielectric and magnetic losses. Thus, the addition of only 1 wt.% of CNTs along with 30 wt.% of barium hexaferrite into epoxy resin increased the frequency range where electromagnetic radiation is intensely attenuated. A correlation between the cation Ga3+ concentration in the BaFe12–xGaxO19 filler and amplitude–frequency characteristics of the natural ferromagnetic resonance (NFMR) in 1 wt.%CNT/30 wt.% BaFe12–xGaxO19/epoxy composites was determined. Higher values of the resonance frequency fres (51.8–52.4 GHz) and weaker dependence of fres on the Ga3+ concentration were observed compared with pressed polycrystalline BaFe12–xGaxO19 (fres = 49.6–50.4 GHz). An increase in the NFMR amplitude on the applied magnetic field for both random and aligned 1 wt.% CNT/30 wt.% BaFe12–xGaxO19/epoxy composites was found. The frequency of NFMR was approximately constant in the range of the applied magnetic field, H = 0–5 kOe, for the random 1 wt.% CNT/30 wt.% BaFe12–xGaxO19/epoxy composite, and it slightly increased for the aligned 1 wt.% CNT/30 wt.% BaFe12–xGaxO19/epoxy composite.

47 citations

Journal ArticleDOI
TL;DR: In this article, an attempt is made to study the unsupervised learning clustering algorithms such as K-Means, Agglomerative, and Fuzzy C-means Clustering methods.

43 citations

Journal ArticleDOI
TL;DR: In this paper, the history, evolution, fabrication, evaluation, and applications of supercapacitors are analyzed along with the difference of SupercapACitors with batteries, capacitors, and fuel cells.

39 citations