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Non-destructive Testing of Impact Damage in Fiber-reinforced Polymer Composites: Fundamentals and Applications provides detailed knowledge on the fundamentals and applications of frequently used nondestructive testing (NDT) techniques utilized to assess impact damage in composite structures. This book starts with an introduction to impact damage in composite structures, each subsequent chapter focuses on evaluating damage using specific NDT methods. Chapters 2–4 concentrate on vision-based NDT methods such as visual inspection, digital image correlation, and digital shearography. Following this, Chapters 5–6 delve into ultrasound-based methods, including acoustic emission and phased-array ultrasonic inspection. Radiation-based methods, micro-CT, and thermography are discussed in Chapters 7 and 8, while Chapters 9 and 10 elucidate microwave inspection and electrical impedance tomography. This book is a useful reference for both academia and industry and covers the fundamentals, practical tips, case studies, and applications, as well as current research trends and future possibilities, for each technique. Insights into the diverse damage levels in composite materials resulting from low-velocity impact, ranging from micro matrix cracks to severe delamination and fiber breakage Covers a broad range of NDT techniques, including recently developed NDT techniques, suitable for detecting impact damage in composite materials Serves as a valuable reference for both academia and industry, providing comprehensive coverage of fundamental principles, practical insights, applications, case studies, current research trends, and future prospects for each NDT technique
Infrared thermography (IRT) is a non-contact, non-invasive methodology which allows for detection of thermal energy that is radiated from objects in the infrared band of the electromagnetic spectrum, for conversion of such energy into a visible image (such as a surface temperature map). This feature represents a great potential to be exploited in a vast variety of fields from aerospace to civil engineering, to medicine, to agriculture, etc. However, IRT is still not adequately enclosed in industrial instrumentation and there are still potential users who might benefit from the use of such a technique and who are not aware of their existence. This e-book conveys information about basic IRT theory, infrared detectors, signal digitalization and applications of infrared thermography in many fields such as medicine, foodstuff conservation, fluid-dynamics, architecture, anthropology, condition monitoring, non destructive testing and evaluation of materials and structures. The volume promotes an exchange of information between the academic world and industry, and shares methodologies which were independently developed and applied in specific disciplines.
Non-destructive evaluation (NDE) is a field to identify all types of structural damage in an object of interest without applying any permanent damage and modification. This field has been intensively investigated for many years. The infrared thermography (IR) is one of NDE technology through inspecting, characterize and analyzing defects based on the infrared images (sequences) from the recordation of infrared light emission and reflection to evaluate non-self-heating objects for quality control and safety assurance. In recent years, the deep learning field of artificial intelligence has made remarkable progress in image processing applications. This field has shown its ability to overcome most of the disadvantages in other approaches existing previously in a great number of applications. Whereas due to the insufficient training data, deep learning algorithms still remain unexplored, and only few publications involving the application of it for thermography nondestructive evaluation (TNDE). The intelligent and highly automated deep learning algorithms could be coupled with infrared thermography to identify the defect (damages) in composites, steel, etc. with high confidence and accuracy. Among the topics in the TNDE research field, the supervised and unsupervised machine learning techniques both are the most innovative and challenging tasks for defect detection analysis. In this project, we construct integrated frameworks for processing raw data from infrared thermography using deep learning algorithms and highlight of the methodologies proposed include the following: 1. Automatic defect identification and segmentation by deep learning algorithms in infrared thermography. The pre-trained convolutional neural networks (CNNs) are introduced to capture defect feature in infrared thermal images to implement CNNs based models for the detection of structural defects in samples made of composite materials (fault diagnosis). Several alternatives of deep CNNs for the detection of defects in the Infrared thermography. The comparisons of performance of the automatic defect detection and segmentation in infrared thermography using different deep learning detection methods: (i) instance segmentation (Center-mask; Mask-RCNN); (ii) objective location (Yolo-v3; Faster-RCNN); (iii) semantic segmentation (Unet; Res-unet); 2. Data augmentation technique through synthetic data generation to reduce the cost of high expense associated with the collection of original infrared data in the composites (aircraft components.) to enrich training data for feature learning in TNDE; 3. The generative adversarial network (Deep convolutional GAN and Wasserstein GAN) is introduced to the infrared thermography associated with partial least square thermography (PLST) (PLS-GANs network) for visible feature extraction of defects and enhancement of the visibility of defects to remove noise in Pulsed thermography; 4. Automatic defect depth estimation (Characterization issue) from simulated infrared data using a simplified recurrent neural network: Gate Recurrent Unit (GRU) through the regression supervised learning.
This book provides an overview and up-to-date synthesis of the most commonly used non-destructive technologies for the reverse engineering of built infrastructure facilities. These technologies tackle both the geometric and radiometric characterization of built structures, and thus, validated technologies such as laser scanning, photogrammetry, and
This book presents the proceedings of the ‘2nd International Conference on Advanced Surface Enhancement’, INCASE 2021. It comprehensively reviews the state-of-the-arts in surface engineering related techniques and strategies, towards industrialization. The topics include ‘Advances in Surface Engineering’, ‘Surface and sub-surface Characterisation’, ‘Surface Coatings’ and ‘Modeling and Simulation’. With the opportunities and challenges discussed, this book identifies the gaps between research and manufacturing. The innovative ideas presented promote technology adoption in industry, for the future of manufacturing.
Keep up-to-date with the latest on adhesion and adhesives from an expert group of worldwide authors. The book series “Progress in Adhesion and Adhesives” was conceived as an annual publication and the premier volume made its debut in 2015. The series has been well-received as it is unique and provides substantive and curated review chapters on subjects that touch many disciplines. The current book contains nine chapters on topics that include multi-component theories in surface thermodynamics and adhesion science; plasma-deposited polymer layers as adhesion promotors; functional interlayers to control interfacial adhesion in reinforced polymer composites; hydrophobic materials, and coatings from natural sources; mechanics of ice adhesion; epoxy adhesives technology: latest developments and trends; hot-melt adhesives for automobile assembly; lifetime estimation of thermostat adhesives by physical and chemical aging processes; and nondestructive evaluation and condition monitoring of adhesive joints. Audience The volume will appeal to adhesionists, adhesive technologists, polymer scientists, materials scientists, and those involved/interested in adhesive bonding, plasma polymerization, adhesion in polymer composites, durability and testing of adhesive joints, materials from natural sources, and ice adhesion and mitigation.
This book presents a detailed description of the most common nondestructive testing(NDT) techniques used for the testing and evaluation fiber-reinforced composite structures, during manufacturing and/or in service stages. In order to facilitate the understanding and the utility of the different NDT techniques presented, the book first provides some information regarding the defects and material degradation mechanisms observed in fiber-reinforced composite structures as well as their general description and most probable causes. It is written based on the extensive scientific research and engineering backgrounds of the authors in the NDT and structural health monitoring (SHM) of structural systems from various areas including electrical, mechanical, materials, civil and biomedical engineering. Pursuing a rigorous approach, the book establishes a fundamental framework for the NDT of fiber-reinforced composite structures, while emphasizing on the importance of technique’s spatial resolution, integrated systems analysis and the significance of the influence stemming from the applicability of the NDT and the physical parameters of the test structures in the selection and utilization of adequate NDT techniques. The book is intended for students who are interested in the NDT of fiber-reinforced composite structures, researchers investigating the applicability of different NDT techniques to the inspections of structural systems, and NDT researchers and engineers working on the optimization of NDT systems for specific applications involving the use of fiber-reinforced composite structures.
Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 7 of the Proceedings of the 2018 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the seventh volume of eight from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: Inverse Problems/Hybrid Techniques Material Characterizations Using Thermography Thermoelastic Stress Analysis Fatigue & Damage Evaluation Using Infrared Thermography Integration of Infrared Thermography & DIC Thermographic Non-Destructive Evaluation (NDE)
Non-destructive evaluation (NDE) methods have dominated most of the fields of applied research and technology over the last twenty years. These techniques provide information on the functional efficiency of materials and structures without causing any structural impact on the structure itself. Their use enables the monitoring of the structural inte