MEMS: Field Models and Optimal Design: 573 (Lecture Notes in Electrical Engineering, 573) - Image 1

£83.49

Springer MEMS: Field Models and Optimal Design: 573 (Lecture Notes in Electrical Engineering, 573)

Name: MEMS: Field Models and Optimal Design: 573 (Lecture Notes in Electrical Engineering, 573)
Brand: Springer
Price: 80.55 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 44 days • 44 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 44 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £83 (26 days, 59.1%)

Price range: £81 - £83

Price levels: 2 different prices over 44 days

Description

Product Description 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. From the Back Cover 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.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 3030214982
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 14 August 2020
Listed Since: 02 August 2020

Barcode

No barcode data available

Springer MEMS: Field Models and Optimal Design: 573 (Lecture Notes in Electrical Engineering, 573)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Principles of Microelectromechanical Systems (IEEE Press)

Design Sensitivity Analysis and Optimization of Electromagnetic Systems (Mathematical and Analytical Techniques with Applications to Engineering)

Simulation-driven Design Optimization And Modeling For Microwave Engineering

Modeling MEMS and NEMS

Springer Electromechanical Systems in Microtechnology Textbook

Coupled Multiscale Simulation and Optimization in Nanoelectronics: 21 (Mathematics in Industry, 21)

Numerical Simulation of Mechatronic Sensors and Actuators: Finite Elements for Computational Multiphysics

Mechanical Design Optimization Using Advanced Optimization Techniques (Springer Series in Advanced Manufacturing)

Optimal Synthesis Methods for MEMS: 13 (Microsystems, 13)

Advances in Metaheuristic Algorithms for Optimal Design of Structures

Advances in Metaheuristic Algorithms for Optimal Design of Structures

Micro Electro Mechanical System Design (Mechanical Engineering)

Electromagneto-Mechanics of Material Systems and Structures

Microsystems Dynamics: 44 (Intelligent Systems, Control and Automation: Science and Engineering, 44)

Genetic Algorithms in Electromagnetics (IEEE Press)

Springer Computational Methods for Electrical Device Design 327

Multiphysics Simulation by Design for Electrical Machines, Power Electronics and Drives (IEEE Press Series on Power and Energy Systems)

Structures and Their Analysis

Mems/Nems: (1) Handbook Techniques and Applications Design Methods, (2) Fabrication Techniques, (3) Manufacturing Methods, (4) Sensors and Actuators, (5) Medical Applications and MOEMS: 1-5

Micro Electromechanical Systems (MEMS): Practical Lab Manual (IEEE Press Series on Sensors)

Numerical Structural Analysis: Methods, Models and Pitfalls (Foundations of Engineering Mechanics)

Nanoelectronic Coupled Problems Solutions: 29 (Mathematics in Industry, 29)

Electric Machines: Transients, Control Principles, Finite Element Analysis, and Optimal Design with MATLAB®: 2

Practical MEMS: Analysis and Design of Microsystems, MEMS Sensors (accelerometers, Pressure Sensors, Gyroscopes), Sensor Electronics, Actuators, RF MEMS, Optical MEMS, and Microfluidic Systems