Ceramic nanofiber composites

priya, M. Lakshmi; Rana, Deepti; Ramalingam, Murugan

doi:10.1016/b978-0-08-100173-8.00030-2

Cited by 5 publications

(5 citation statements)

References 64 publications

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“…A high aspect ratio facilitates better interfacial bonding between the nanofibers and the matrix, enhancing mechanical properties. Furthermore, due to their biocompatibility nature, ceramic nanofiber composites have been extensively used in biomedical applications, particularly tissue engineering [ 71 ]. Materials containing silicon carbide nanofibers prepared via in-situ growth in carbon fabric impregnated with potassium chloride (KCl) solution have been suggested as a good candidate for superconductor electrodes [ 72 ].…”

Section: Nanofibers For Reinforcementmentioning

confidence: 99%

“…Materials containing silicon carbide nanofibers prepared via in-situ growth in carbon fabric impregnated with potassium chloride (KCl) solution have been suggested as a good candidate for superconductor electrodes [ 72 ]. Other types of ceramic nanofibers include zinc oxide nanofibers [ 70 ], titanium nanofibers [ 71 ], alumina nanofibers [ 72 ], and zconia nanofibers [ 73 ].…”

Section: Nanofibers For Reinforcementmentioning

confidence: 99%

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Nanotechnology-enhanced fiber-reinforced polymer composites: Recent advancements on processing techniques and applications

Rashid,

Haque,

Islam

et al. 2024

Heliyon

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Section: Nanofibers For Reinforcementmentioning

confidence: 99%

Section: Nanofibers For Reinforcementmentioning

confidence: 99%

Nanotechnology-enhanced fiber-reinforced polymer composites: Recent advancements on processing techniques and applications

Rashid,

Haque,

Islam

et al. 2024

Heliyon

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“…Using Watershed segmentation and SVM classifier has been proposed by authors. To separate nodule and predict it as Malignant and Benign the image processing system has developed by Pooja R. Katreet et al [19] which is able to detect malignant nodule from CT-Lung cancer picture. Initially, salt and pepper noise is removed from photos using the Median filter during pre-processing.…”

Section: Related Workmentioning

confidence: 99%

An Approach of AlexNet CNN Algorithm Model for Lung Cancer Detection and Classification

B. C.,

K. B.

2023

IJRITCC

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As a reliable tool for identifying and classifying different illnesses, including lung cancer, deep learning has grown significantly in popularity. It is crucial to quickly and accurately diagnose lung cancer because different treatment options depend on the type and stage of the disease. Deep learning algorithms (DLA) are used to speed up the critical process of lung cancer detection and lessen the burden on medical professionals. In this study, the feasibility of employing deep learning algorithms for the early detection of lung cancer is explored, using data from the Lung Imaging Database Consortium (LIDC) database. The study introduces the VGG-16 and AlexNet models specifically to identify the presence of cancer in lung images. The AlexNet model is chosen for additional classification tasks based on performance. The suggested technique displays considerable increases in both the prediction and classification accuracy of cancer. The results from using the AlexNet model show the highest levels of accuracy, with classification accuracy of 97.76% and prediction accuracy of 97.02%, both verified using a 5-fold cross-validation method. Moreover, when classifying the forms of cancer, the model gets a remarkable area under the curve (AUC) value of 1 for the Adenocarcinoma class, signaling extraordinary performance. Notably, the proposed model achieves an accuracy exceeding 90% across all classes.

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“…Nanoceramics with their crystallographic structure and strong atomic bonds have gained attention in bone repair owing to their superior characteristics such as high thermal stability, high corrosion resistance, chemical stability, biocompatibility, stability, increased hardness, cell-matrix interaction, strength, and wear resistance. 190–192 In comparison with conventional ceramics, nanoceramics possessed distinctive properties such as processing, mechanical, and surface characteristics, which make them suitable materials for bone tissue engineering applications. 193 Nevertheless, there are certain limitations of nanoceramic materials such as weak tensile modulus, brittle nature, and lower toughness.…”

Section: Ceramic Based Nanomaterialsmentioning

confidence: 99%

“…To overcome these drawbacks, nanoceramic materials were incorporated into polymer matrices. 190 Mondal et al 194 evaluated the 3D printed PLA scaffold with reinforced nano-HA bioceramics. The scaffolds were 3D printed in 0°, 45°, and 90° printing angles on the XY plane.…”

Section: Ceramic Based Nanomaterialsmentioning

confidence: 99%

3D Printing of Micro- and Nanoscale Bone Substitutes: A Review on Technical and Translational Perspectives

Cheng

et al. 2021

IJN

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Recent developments in three-dimensional (3D) printing technology offer immense potential in fabricating scaffolds and implants for various biomedical applications, especially for bone repair and regeneration. As the availability of autologous bone sources and commercial products is limited and surgical methods do not help in complete regeneration, it is necessary to develop alternative approaches for repairing large segmental bone defects. The 3D printing technology can effectively integrate different types of living cells within a 3D construct made up of conventional micro- or nanoscale biomaterials to create an artificial bone graft capable of regenerating the damaged tissues. This article reviews the developments and applications of 3D printing in bone tissue engineering and highlights the numerous conventional biomaterials and nanomaterials that have been used in the production of 3D-printed scaffolds. A comprehensive overview of the 3D printing methods such as stereolithography (SLA), selective laser sintering (SLS), fused deposition modeling (FDM), and ink-jet 3D printing, and their technical and clinical applications in bone repair and regeneration has been provided. The review is expected to be useful for readers to gain an insight into the state-of-the-art of 3D printing of bone substitutes and their translational perspectives.

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Ceramic nanofiber composites

Cited by 5 publications

References 64 publications

Nanotechnology-enhanced fiber-reinforced polymer composites: Recent advancements on processing techniques and applications

Nanotechnology-enhanced fiber-reinforced polymer composites: Recent advancements on processing techniques and applications

An Approach of AlexNet CNN Algorithm Model for Lung Cancer Detection and Classification

3D Printing of Micro- and Nanoscale Bone Substitutes: A Review on Technical and Translational Perspectives

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