Books by Keyword: Defect Detection

Description: The aim of the book based on the papers presented at the IV International Workshop Advances in Materials Science - AMS-IV 2024 (30-31 May 2024, Bukhara, Uzbekistan) was to encompass an examination of key themes in the latest materials science, integrating both theoretical frameworks and practical applications. The book highlights the mechanical properties of various materials, such as protective coatings and tool steels, emphasizing their behaviour under different processing techniques. It also explores advanced processing techniques, showcasing innovative manufacturing methods like direct metal deposition and CNC machining optimization. The application of nanotechnology is addressed, particularly regarding the influence of nanoparticles on wear resistance and mechanical properties. Furthermore, the integration of machine learning applications is discussed, focusing on how neural networks and deep learning can optimize material compositions and detect surface defects. Finally, the book investigates corrosion and wear resistance, tackling real-world challenges related to material durability in industrial settings. Overall, the edition aims to bridge the gap between theoretical research and industrial application, advancing knowledge in materials science.

Description: The presented special edition is devoted to materials and technologies used in modern manufacturing and will be helpful to a wide range of engineers and researchers from materials science, processing technologies, machinery and opto- and microelectronics.

Description:

This edition collects research results and engineering solutions in materials science related to studying the mechanical properties and behaviour of elastomers, brittle polymeric material and dental implants made by 3D Printing technology. Readers will also be interested in the study of the mechanical behaviour of composite reinforced concrete beams and the simulation of the installation and jacking off a large steel grid project. The quantitative non-destructive evaluation of aircraft structures as well as the high-accuracy detection and classification of defects and deformation of metal screw heads are important for specialists in automatic technological monitoring. The results of the development and analysis of energy harvesting by the triboelectric nanogenerator and magnet-actuated piezoelectric harvester with results on error minimisation in robotic milling will be helpful to engineers in mechatronics and industrial robotics.

Description: Collection of selected, peer reviewed papers from the 7^th International Conference on Innovative Technologies for Joining Advanced Materials (TIMA 14), June 19-20, 2014, Timisoara, Romania.