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System-level modeling of MEMS - microelectromechanical systems - comprises integrated approaches to simulate, understand, and optimize the performance of sensors, actuators, and microsystems, taking into account the intricacies of the interplay between mechanical and electrical properties, circuitry, packaging, and design considerations. Thereby, system-level modeling overcomes the limitations inherent to methods that focus only on one of these aspects and do not incorporate their mutual dependencies. The book addresses the two most important approaches of system-level modeling, namely physics-based modeling with lumped elements and mathematical modeling employing model order reduction methods, with an emphasis on combining single device models to entire systems. At a clearly understandable and sufficiently detailed level the readers are made familiar with the physical and mathematical underpinnings of MEMS modeling. This enables them to choose the adequate methods for the respective application needs. This work is an invaluable resource for all materials scientists, electrical engineers, scientists working in the semiconductor and/or sensor industry, physicists, and physical chemists.
Does MEMS technology offer advantages to your company's products? Will miniature machines on a chip solve your application objectives for ôsmaller, better, cheaper, and faster'ö If you are a product development engineer or manager, the decision to design a MEMS device implies having an application and market. This book offers you a practical guide to making this important business decision. Here, both veterans and newcomers to MEMS device design will get advice on evaluating MEMS for their business, followed by guidance on selecting solutions, technologies and design support tools. You will see how experts from around the world have explored MEMS possibilities and achieved new breakthrough devices such as RF-MEMS for mobile telecommunications, micro-optics for internet hardware, catheter-based minimal-invasive operating theatre tools, and in vivo monitoring of exact dosage of medication in ailing patients. This handbook offers a wealth of analytical techniques treating problematic areas such as alternative designs reliability, packaging, and cost effectiveness.
This book highlights numerical models as powerful tools for the optimal design of Micro-Electro-Mechanical Systems (MEMS). Most MEMS experts have a background in electronics, where circuit models or behavioral models (i.e. lumped-parameter models) of devices are preferred to field models. This is certainly convenient in terms of preliminary design, e.g. in the prototyping stage. However, design optimization should also take into account fine-sizing effects on device behavior and therefore be based on distributed-parameter models, such as finite-element models. The book shows how the combination of automated optimal design and field-based models can produce powerful design toolboxes for MEMS. It especially focuses on illustrating theoretical concepts with practical examples, fostering comprehension through a problem-solving approach. By comparing the results obtained using different methods, readers will learn to identify their respective strengths and weaknesses. In addition, special emphasis is given to evolutionary computing and nature-inspired optimization strategies, the effectiveness of which has already been amply demonstrated. Given its scope, the book provides PhD students, researchers and professionals in the area of computer-aided analysis with a comprehensive, yet concise and practice-oriented guide to MEMS design and optimization. To benefit most from the book, readers should have a basic grasp of electromagnetism, vector analysis and numerical methods.
A comprehensive guide to MEMS materials, technologies and manufacturing, examining the state of the art with a particular emphasis on current and future applications. Key topics covered include: - Silicon as MEMS material - Material properties and measurement techniques - Analytical methods used in materials characterization - Modeling in MEMS - Measuring MEMS - Micromachining technologies in MEMS - Encapsulation of MEMS components - Emerging process technologies, including ALD and porous silicon Written by 73 world class MEMS contributors from around the globe, this volume covers materials selection as well as the most important process steps in bulk micromachining, fulfilling the needs of device design engineers and process or development engineers working in manufacturing processes. It also provides a comprehensive reference for the industrial R&D and academic communities. - Veikko Lindroos is Professor of Physical Metallurgy and Materials Science at Helsinki University of Technology, Finland. - Markku Tilli is Senior Vice President of Research at Okmetic, Vantaa, Finland. - Ari Lehto is Professor of Silicon Technology at Helsinki University of Technology, Finland. - Teruaki Motooka is Professor at the Department of Materials Science and Engineering, Kyushu University, Japan. - Provides vital packaging technologies and process knowledge for silicon direct bonding, anodic bonding, glass frit bonding, and related techniques - Shows how to protect devices from the environment and decrease package size for dramatic reduction of packaging costs - Discusses properties, preparation, and growth of silicon crystals and wafers - Explains the many properties (mechanical, electrostatic, optical, etc), manufacturing, processing, measuring (incl. focused beam techniques), and multiscale modeling methods of MEMS structures
With its unique promise to revolutionize science, engineering, technology, and other fields, nanotechnology continues to profoundly impact associated materials, components, and systems, particularly those used in telecommunications. These developments are leading to easier convergence of related technologies, massive storage data, compact storage devices, and higher-performance computing. Nanotechnology for Telecommunications presents vital technical scientific information to help readers grasp issues and challenges associated with nanoscale telecommunication system development and commercialization—and then avail themselves of the many opportunities to be gleaned. This book provides technical information and research ideas regarding the use of nanotechnology in telecommunications and information processing, reflecting the continuing trend toward the use of optoelectronics. Nanotech will eventually lead to a technology cluster that offers a complete range of functionalities for systems used in domains including information, energy, construction, environmental, and biomedical. Describing current and future developments that hold promise for significant innovations in telecommunications, this book is organized to provide a progressive understanding of topics including: Background information on nanoscience and nanotechnology Specific applications of nanotechnology in telecommunications Nanostructured optoelectronic materials MEMS, NEMS, and their applications in communication systems Quantum dot Cellular Automata (QCA) and its applications in telecommunication systems How nonohmic nonlinear behavior affects both digital and analog signal processing Concepts regarding quantum switching and its applications in quantum networks The scale of the physical systems that use nanoscale electronic devices is still large, and that presents serious challenges to the establishment of interconnections between nanoscale devices and the outside world. Also addressing consequent social implications of nanotech, this book reviews a broad range of the nano concepts and their influence on every aspect of telecommunications. It describes the different levels of interconnections in systems and details the standardized assembly process for a broad specrum of micro-, nano-, bio-, fiber-optic, and optoelectronic components and functions. This book is a powerful tool for understanding how to harness the power of nanotech through integration of materials, processes, devices, and applications.
This book introduces the exciting and fast-moving field of MOEMS to graduate students, scientists, and engineers by providing a foundation of both micro-optics and MEMS that will enable them to conduct future research in the field. Born from the relatively new fields of MEMS and micro-optics, MOEMS are proving to be an attractive and low-cost solution to a range of device problems requiring high optical functionality and high optical performance. MOEMS solutions include optical devices for telecommunication, sensing, and mobile systems such as v-grooves, gratings, shutters, scanners, filters, micromirrors, switches, alignment aids, lens arrays, and hermetic wafer-scale optical packaging. An international team of leading researchers contributed to this book, and it presents examples and problems employing cutting-edge MOEM devices. It will inspire researchers to further advance the design, fabrication, and analysis of MOEM systems.
This book-presents new methods and tools for the integration and simulation of smart devices. The design approach described in this book explicitly accounts for integration of Smart Systems components and subsystems as a specific constraint. It includes methodologies and EDA tools to enable multi-disciplinary and multi-scale modeling and design, simulation of multi-domain systems, subsystems and components at all levels of abstraction, system integration and exploration for optimization of functional and non-functional metrics. By covering theoretical and practical aspects of smart device design, this book targets people who are working and studying on hardware/software modelling, component integration and simulation under different positions (system integrators, designers, developers, researchers, teachers, students etc.). In particular, it is a good introduction to people who have interest in managing heterogeneous components in an efficient and effective way on different domains and different abstraction levels. People active in smart device development can understand both the current status of practice and future research directions. · Provides a comprehensive overview of smart systems design, focusing on design challenges and cutting-edge solutions; · Enables development of a co-simulation and co-design environment that accounts for the peculiarities of the basic subsystems and components to be integrated; · Describes development of modeling and design techniques, methods and tools that enable multi-domain simulation and optimization at various levels of abstraction and across different technological domains.
This thesis considers the linear-quadratic optimal control problem for differential-algebraic systems. In this first part, a complete theoretical analysis of this problem is presented. The basis is a new differential-algebraic version of the Kalman-Yakubovich-Popov (KYP) lemma. One focus is the analysis of the solution structure of the associated descriptor KYP inequality. In particular, rank-minimizing, stabilizing, and extremal solutions are characterized which gives a deep insight into the structure of the problem. Further contributions include new relations of the descriptor KYP inequality to structured matrix pencils, conditions for the existence of nonpositive solutions, and the application of the new theory to the characterization of dissipative systems and the factorization of rational matrix-valued functions. The second part of this thesis focuses on robustness questions, i.e., the influence of perturbations on system properties like dissipativity and stability is discussed. Characterizations for the distance of a dissipative systems to the set of non-dissipative systems are given which lead to a numerical method for computing this distance. Furthermore, the problem of computing the H-infinity-norm of a large-scale differential-algebraic system is considered. Two approaches for this computation are introduced and compared to each other.
Applications of nanotechnology continue to fuel significant innovations in areas ranging from electronics, microcomputing, and biotechnology to medicine, consumer supplies, aerospace, and energy production. As progress in nanoscale science and engineering leads to the continued development of advanced materials and new devices, improved methods of modeling and simulation are required to achieve a more robust quantitative understanding of matter at the nanoscale. Computational Nanotechnology: Modeling and Applications with MATLAB® provides expert insights into current and emerging methods, opportunities, and challenges associated with the computational techniques involved in nanoscale research. Written by, and for, those working in the interdisciplinary fields that comprise nanotechnology—including engineering, physics, chemistry, biology, and medicine—this book covers a broad spectrum of technical information, research ideas, and practical knowledge. It presents an introduction to computational methods in nanotechnology, including a closer look at the theory and modeling of two important nanoscale systems: molecular magnets and semiconductor quantum dots. Topics covered include: Modeling of nanoparticles and complex nano and MEMS systems Theory associated with micromagnetics Surface modeling of thin films Computational techniques used to validate hypotheses that may not be accessible through traditional experimentation Simulation methods for various nanotubes and modeling of carbon nanotube and silicon nanowire transistors In regard to applications of computational nanotechnology in biology, contributors describe tracking of nanoscale structures in cells, effects of various forces on cellular behavior, and use of protein-coated gold nanoparticles to better understand protein-associated nanomaterials. Emphasizing the importance of MATLAB for biological simulations in nanomedicine, this wide-ranging survey of computational nanotechnology concludes by discussing future directions in the field, highlighting the importance of the algorithms, modeling software, and computational tools in the development of efficient nanoscale systems.
Because vertebrate circulations do not work when shrunk to insect sizes, insects may help us design our smallest machines. Within small bodies, bees separate diffusing substances in an open cavity assisted by locomotion and the beat of the heart. The open arthropod circulation, however, is most efficient when shrunk until its large three-dimensional volume of blood turns into a two-dimensional film of fluid covering only the internal surfaces. This transformation increases the chances to near-certainty that molecules can diffuse from one point to another without getting lost.The Incredible Shrinking Bee expresses mathematics in words so that most readers can compare today's microelectromechanical (MEMS) devices with a honeybee's circulation, introducing ideas of biominiaturization to workers interested in developing compact energy and chemical systems. When it comes to shrinking systems, bees have the edge on human ingenuity. A farrago of ideas and disciplines, The Incredible Shrinking Bee provides a springboard for discussion and research for computer scientists, entomologists, systems biologists, physiologists, mathematicians, engineers and anyone wanting to learn how bees move things around in their bodies to do what we are trying to do smaller and better.