J. Paulo Davim

Panagiotis Kyratsis

Athanasios Manavis

The book aims to cover several areas in both design and manufacturing advancements while targeting technologies and methodologies that can push forward the research. There are a variety of topics included in order to provide a solid basis towards Industry 4.0 i.e., design methodologies, digital tools, CAD based applications, CAD/CAM/CAE developments, product design, material selection and improved material technology, additive manufacturing, modern machine design, smart manufacturing automation, algorithmic/computational design, artificial intelligence in design and manufacturing, machine learning applications, sustainable design, structures design optimization, STEAM (Science-Technology-Engineering-Arts-Mathematics) technologies and gamification.

Computer-Aided Design and Manufacturing

CAD/CAM

This book presents the latest advances in computational and parametric design engineering, as well as digital tools related to manufacturing. It covers design and manufacturing process such as CAD-based design/manufacturing, parametric design, algorithmic design and process automation, and several digital tools and applications.

Computational Design and Digital Manufacturing

This book presents the latest advances in manufacturing from both the experimental and simulation point of view. It covers most aspects of manufacturing engineering, i.e. theoretical, analytical, computational and experimental studies. Experimental studies on manufacturing processes require funds, time and expensive facilities, while numerical simulations and mathematical models can improve the efficiency of using the research results. It also provides high level of prediction accuracy and the basis for novel research directions.

Experiments and Simulations in Advanced Manufacturing

Konstantinos G. Kakoulis

Angelos P. Markopoulos

CAD/CAM/CAE technologies find more and more applications in today’s industries, e.g., in the automotive, aerospace, and naval sectors. These technologies increase the productivity of engineers and researchers to a great extent, while at the same time allowing their research activities to achieve higher levels of performance. A number of difficult-to-perform design and manufacturing processes can be simulated using more methodologies available, i.e., experimental work combined with statistical tools (regression analysis, analysis of variance, Taguchi methodology, deep learning), finite element analysis applied early enough at the design cycle, CAD-based tools for design optimizations, CAM-based tools for machining optimizations.

Panagiotis Kyratsis

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