Computer Performance Engineering

數字化是智能製造的基礎。本書是為了滿足智能製造對設計表達的數字化要求，根據現行的《技術製圖》和《機械製圖》國家標準編寫而成的。本書吸收高等職業教育工程製圖多年教學改革的經驗，對傳統教學內容進行了必要增減和優化整合，根據工作過程系統化和創新能力培養要求，將教學內容劃分為7章，分別是產品設計與表達、計算機繪圖、製圖基礎、機械製圖標準、常用機件及結構要素的表示、零件圖的識讀與繪製、裝配圖的識讀與繪製。本書以培養學生的讀圖能力、數字化表達能力和創新能力為目標，提供大量帶尺寸的立體圖，有利於將知識的學習和技能的訓練融為一體，實現學習和練習一體化、教材和習題集一體化，並通過在線開放課程網站提供補充習題，以滿足不同學生、不同學校的需要。Digitalization is the foundation of intelligent manufacturing. According to the current edition of Technical Drawings and Mechanical Drawings by national standard, this book aims to meet the digital requirements of intelligent manufacturing for design expression by utilizing experiences of higher vocational education educational reforms of Engineering Drawing. This book makes necessary adjustments and improvements to traditional teaching contents of mechanical drawing. To reflect and satisfy the requirements of systematic work process and innovative ability cultivation, this book divides its learning materials into seven chapters: product design and expression, computer graphi

This book is ideal for a first or second year discrete mathematics course for mathematics, engineering, and computer science majors. The author has extensively class-tested early conceptions of the book over the years and supplements mathematical arguments with informal discussions to aid readers in understanding the presented topics. "Safe" - that is, paradox-free - informal set theory is introduced following on the heels of Russell's Paradox as well as the topics of finite, countable, and uncountable sets with an exposition and use of Cantor's diagonalisation technique. Predicate logic "for the user" is introduced along with axioms and rules and extensive examples. Partial orders and the minimal condition are studied in detail with the latter shown to be equivalent to the induction principle. Mathematical induction is illustrated with several examples and is followed by a thorough exposition of inductive definitions of functions and sets. Techniques for solving recurrence relations i

●WEBASSIGN PROVIDES ONLINE TOOLS TO BUILD YOUR STUDENTS’ CONFIDENCE AND ELEVATE PERFORMANCE: Leading WebAssign digital resources provide instant access to expertly designed support for both you and your students. Updated, innovative exercises, "Explore It" interactive learning modules and instructional videos reinforce concepts for students and assist in review.●REAL-WORLD APPLICATIONS ENGAGE STUDENTS: This title draws upon applications from engineering, physics, chemistry, business, biology, environmental studies and other fields to demonstrate how mathematics is used to model real-life situations. This approach reinforces the relevance and importance of the principles students are learning.●"FOCUS ON MODELING" SECTIONS SHOW STUDENTS HOW TO APPLY MATHEMATICS: These "Focus on Modeling" sections illustrate modelling techniques as well as how mathematics can be applied to model real-life situations. These sections teach students how to create their own mathematical models rather than use

A comprehensive introduction to the field of autonomous robotics aimed at upper-level undergraduates and offering additional online resources.Textbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots almost unfailingly serve students at the graduate level. Introduction to Autonomous Robots offers a much-needed resource for teaching third- and fourth-year undergraduates the computational fundamentals behind the design and control of autonomous robots. The authors use a class-tested and accessible approach to present progressive, step-by-step development concepts, alongside a wide range of real-world examples and fundamental concepts in mechanisms, sensing and actuation, computation, and uncertainty. Throughout, the authors balance the impact of hardware (mechanism, sensor, actuator) and software (algorithms) in teaching robot autonomy. Features:Rigorous and tested in the classroomWritten for engineering and computer science undergraduates with a soph

Design and Manufacturing of Structural Composites provides an overview of the most common manufacturing routes for fiber reinforced composites, including the influence of the manufacturing route on mechanical properties. It discusses the intermediate steps to convert common fiber/matrix combinations into finished products and provides an insight into some of the most common research challenges for each of the chosen manufacturing processes, covering experimental, analytical and numerical analysis. Particular emphasis is placed on the various types of manufacturing routes for fiber reinforced composites, including the influence of the manufacturing route on mechanical properties, automation, additive manufacturing and recyclability, and material properties and design principles. Chapters cover introduction to composite materials, material preforming and conversion, moulding, enabling technologies, computer aided engineering, reduce, reuse and recycling, and much more.

Towards 4D Printing presents the current state of three-dimensional (3D) bioprinting and its recent offspring, 4D bioprinting. These are attractive approaches to tissue engineering because they hold the promise of building bulky tissue constructs with incorporated vasculature. Starting with the discussion of 3D and 4D printing of inanimate objects, the book presents several 3D bioprinting techniques and points out the challenges imposed by living cells on the bioprinting process. It argues that, in order to fine-tune the bioprinter, one needs a quantitative analysis of the conditions experienced by cells during printing. Once the printing is over, the construct evolves according to mechanisms known from developmental biology. These are described in the book along with computer simulations that aim to predict the outcome of 3D bioprinting. In addition, the book provides the latest information on the principles and applications of 4D bioprinting, such as for medical devices and assistive

An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience.Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots―autonomous systems modeled after some aspect of the brain―offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science.Neurorobotics covers

An original comprehensive guide on computational nanomechanics discussing basic concepts and implications in areas such as computational physics, materials, mechanics and engineering as well as several other interdisciplinary avenues. This book makes the underlying theory accessible to readers without specialised training or extensive background in quantum physics, statistical mechanics, or theoretical chemistry. It combines a careful treatment of theoretical concepts with a detailed tutorial on computer software and computing implementation, including multiscale simulation and computational statistical theory. Multidisciplinary perspectives are provided, yielding a true insight on the applications of computational nanomechanics across diverse engineering fields. The book can serve as a practical guide with step-by-step discussion of coding, example problems and case studies. This book will be essential reading for students new to the subject, as well as an excellent reference for gra

Ideal for entry-level and experienced researchers working in materials science and engineering, this unique book introduces a new subfield of materials science and mechanics of materials: network materials. A comprehensive review of their mechanical behaviours allows readers to understand, design, and enhance the performance of these material systems, across a range of materials including cytoskeletons, connective tissue, and thermoset polymers. By introducing simple models, supported by experimental data, the book provides the necessary fundamental knowledge to assist readers to design and develop their own material systems. By presenting each of these previously disparate material systems within a unified theoretical framework, this book provides a consolidated presentation of the mechanics of networks and their interactions, introducing parameters that define the stochastic structure of the network, and discussing their mechanical behaviour. It is an ideal text for those new to this