Kategoria BISAC: Technology & Engineering >> Industrial Design - Product

This book describes the theoretical framework of parallel manipulators and presents examples of their application. The theoretical part begins with the theory of parallel manipulator synthesis. Working on this basis, various topology designs of one-loop and multiloop parallel manipulators are then obtained. The next section describes the zero parameters method for the analysis of mechanism (manipulator) structure with closed kinematic circuits, and includes examples of its application, highlighting its advantages compared to traditional methods. The book then presents the redundant...

Bio-materials and prototyping (both virtual and physical) is becoming more and more prevalent in medicine. These materials and technologies are used to design, develop and manufacture medical devices and instrumentation, and to fabricate drug dosage forms. This process is also increasingly being used by surgeons to plan complex operations, especially in the craniofacial and maxillofacial areas. Further, prototyping shows promise in the area of tissue engineering through the use of biomaterials including the direct manufacture of biologically active implants. This book focuses on bio...

The use of modular product architectures can significantly increase the efficiency in manufacturing companies. Various modularization methods are used in the development of these architectures, but they always result in different architecture alternatives. This thesis describes the development of a model-based simulation for multi-dimensional performance assessment of these architecture alternatives with their corresponding modular kits. The central element of this simulation is formed by a model-based configuration system, identifying individually valid product variants using concepts and...

This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” principles) to solve intractable problems.  Traditional data science methodologies require copious quantities of data to show a reliable pattern, but the amount of required data can be greatly reduced by considering the mathematical science principles. MDS is presented here in six easy-to-follow modules: 1) Multimodal data generation and collection, 2) extraction of mechanistic features, 3)...