Books by Keyword: Machine Learning

Description: The special edition contains articles on the practical applications of various conventional and non-conventional methods for modelling and numerical investigation of the mechanical properties and behaviour of structural materials under testing and technological processing. From empirical modelling and analysis of elastic-viscoplastic deformability to micromechanical modelling and the application of machine learning, the presented approaches provide valuable information for researchers and engineers in materials science, necessary for modernisation and the development of technological processes.

Description: Topics covered by this special edition include to: Development of new and optimization of existing forging and hot forming; mathematical description and parameterisation of flow, damage and fracture behaviour of new workpiece and tool materials; mathematical description and parameterisation of friction, heat transfer and wear in forging and rolling; development of numerical methods, formulations and algorithms for simulation of forging and rolling processes; validation of simulation models on industrial examples; computer-aided process control. Furthermore, the results of the Collaborative Research Centre 1153 on Tailored Forming are presented. This edition, without a doubt, will be of great benefit to the rich daily machinery engineers and researchers whose activities are related to metalworking.

Description: This special edition presents research results related to the use of advanced and non-conventional methods for modelling and simulation of forming processes, including the application of machine learning and AI techniques. By that, developments in the field of numerical simulation were considered that could eventually be applied to the simulation of any forming process. The edition will be helpful for researchers in materials science and the development of materials processing technologies.

Description: The processing of test results, modelling, and optimisation of technological parameters for complex material forming processes require the development of numerical methods that ensure reliability and computational efficiency. Articles collected in this special edition are devoted to innovation in this field, especially the use of artificial intelligence technologies, which is of utmost importance today.

Description: The aim of this special issue is to present recent developments and technological capabilities of additive manufacturing. Pre-processing, in-situ processing, and post-processing are important stages that impact the final properties of the produced parts. Experimental results, numerical modelling methods, data analytics, and optimisation of additive manufacturing processes are considered in this edition. The book will be helpful to researchers and practitioners in additive technologies.

Description: The wide applications of high-level composite materials at affordable development and manufacturing costs create significant demand for scientific research and computational methods to analyse properties in composite manufacturing. The mechanical behaviour of composite parts in service is dominated by fiber orientation and density, which in turn are determined by the forming process. In this case, predicting in-service performance of finished products requires a full understanding of, and preferably a prediction of, the complex material behaviour during manufacturing. The presented special issue covers these and other issues arising in the development, production, and application of modern composite materials and will be useful to many scientists and engineers from the mechanical engineering industry.

Description: This book compiles the papers presented at the 5th International Conference on Recent Advances in Mechanical Engineering Research and Development ICRAMERD-24, which took place in Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, during December 12-14, 2024. The compiled articles examine novel engineering and scientific approaches and related research results, and their real-world applications across a range of industrial domains. They will be useful for a wide range of specialists in many branches of mechanical engineering.

Description: The 18th volume of the journal Engineering Innovations focuses on research results in SIC MOSFET packaging, the design of personal protective equipment, an overview of technologies for green hydrogen production, the thermal analysis of CubeSat, a series of investigations into sustainable power systems and inventory management for ageing rotating equipment.

Description: The 17th volume of the journal Engineering Innovations focuses on research results in biochar production and applications, the performance evaluation of natural coagulants for surface water treatment, the detection of safety hazards in the electrical industry, automation of economic analysis and production management.

Description: This proceedings volume is the core academic output of ICAMC 2025 (11th International Conference on Architecture, Materials and Construction) and ICBSTS 2025 (6th International Conference on Building Science, Technology and Sustainability), which were held 3-5 September 2025 in Nagoya, Japan. It compiles high-quality research papers presented at conferences across diverse fields of construction, including architecture, materials, and sustainable technologies. This edition can serve as an essential reference for driving innovation in related fields, injecting new impetus into global industrial progress.