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Author: Garret N. Vanderplaats Publisher: ISBN: 9780944956045 Category : Engineering design Languages : en Pages : 477
Book Description
This book describes numerical optimization techniques, with emphasis on application to engineering design. These methods may be used to minimize/maximize one or more functions with limits, or constraints, on others. Optimization may be used with almost any computer based analysis program to efficiently improve an engineering design. Chapter 1 presents basic concepts of function minimization. Chapter 2 describes methods for minimizing unconstrained functions of many variables. Chapter 4 through 8 deal with general constrained optimization. These first eight chapters providethe building blocks for Multidiscipline Design Optimization. Chapter 9 describes the specific subjec tof structural optimization and Chapter 10 deals with general applications in mechanical, automotive and aerospaceengineering. These two chapters deal with single discipline optimization. Chapter 11 brings it all together for the design of systems considering several disciplines. This chapter provides an engineering approach to Multidiscipline design optimization that has proved to be effective in industrial applications. Numerous references are provided for further study.
Author: Garret N. Vanderplaats Publisher: ISBN: 9780944956045 Category : Engineering design Languages : en Pages : 477
Book Description
This book describes numerical optimization techniques, with emphasis on application to engineering design. These methods may be used to minimize/maximize one or more functions with limits, or constraints, on others. Optimization may be used with almost any computer based analysis program to efficiently improve an engineering design. Chapter 1 presents basic concepts of function minimization. Chapter 2 describes methods for minimizing unconstrained functions of many variables. Chapter 4 through 8 deal with general constrained optimization. These first eight chapters providethe building blocks for Multidiscipline Design Optimization. Chapter 9 describes the specific subjec tof structural optimization and Chapter 10 deals with general applications in mechanical, automotive and aerospaceengineering. These two chapters deal with single discipline optimization. Chapter 11 brings it all together for the design of systems considering several disciplines. This chapter provides an engineering approach to Multidiscipline design optimization that has proved to be effective in industrial applications. Numerous references are provided for further study.
Author: Jaroslaw Sobieszczanski-Sobieski Publisher: John Wiley & Sons ISBN: 1118492129 Category : Technology & Engineering Languages : en Pages : 412
Book Description
Multidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design paradigm. It describes methodology for conducting a system design in a systematic and rigorous manner that supports human creativity to optimize the design objective(s) subject to constraints and uncertainties. The material presented builds on decades of experience in Multidisciplinary Design Optimization (MDO) methods, progress in concurrent computing, and Knowledge Based Engineering (KBE) tools. Key features: Comprehensively covers MDO and is the only book to directly link this with KBE methods Provides a pathway through basic optimization methods to MDO methods Directly links design optimization methods to the massively concurrent computing technology Emphasizes real world engineering design practice in the application of optimization methods Multidisciplinary Design Optimization supported by Knowledge Based Engineering is a one-stop-shop guide to the state-of-the-art tools in the MDO and KBE disciplines for systems design engineers and managers. Graduate or post-graduate students can use it to support their design courses, and researchers or developers of computer-aided design methods will find it useful as a wide-ranging reference.
Author: Gang Lei Publisher: Springer ISBN: 3662492717 Category : Technology & Engineering Languages : en Pages : 251
Book Description
This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.
Author: Joaquim R. R. A. Martins Publisher: Cambridge University Press ISBN: 110898861X Category : Mathematics Languages : en Pages : 653
Book Description
Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments.
Author: Piotr Breitkopf Publisher: John Wiley & Sons ISBN: 1118600002 Category : Technology & Engineering Languages : en Pages : 403
Book Description
This book provides a comprehensive introduction to the mathematical and algorithmic methods for the Multidisciplinary Design Optimization (MDO) of complex mechanical systems such as aircraft or car engines. We have focused on the presentation of strategies efficiently and economically managing the different levels of complexity in coupled disciplines (e.g. structure, fluid, thermal, acoustics, etc.), ranging from Reduced Order Models (ROM) to full-scale Finite Element (FE) or Finite Volume (FV) simulations. Particular focus is given to the uncertainty quantification and its impact on the robustness of the optimal designs. A large collection of examples from academia, software editing and industry should also help the reader to develop a practical insight on MDO methods.
Author: Natalia M. Alexandrov Publisher: SIAM ISBN: 9780898713596 Category : Design Languages : en Pages : 476
Book Description
Multidisciplinary design optimization (MDO) has recently emerged as a field of research and practice that brings together many previously disjointed disciplines and tools of engineering and mathematics. MDO can be described as a technology, environment, or methodology for the design of complex, coupled engineering systems, such as aircraft, automobiles, and other mechanisms, the behavior of which is determined by interacting subsystems.
Author: Mykel J. Kochenderfer Publisher: MIT Press ISBN: 0262039427 Category : Computers Languages : en Pages : 521
Book Description
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
Author: Josip Stjepandić Publisher: Springer ISBN: 331913776X Category : Technology & Engineering Languages : en Pages : 836
Book Description
Presenting the gradual evolution of the concept of Concurrent Engineering (CE), and the technical, social methods and tools that have been developed, including the many theoretical and practical challenges that still exist, this book serves to summarize the achievements and current challenges of CE and will give readers a comprehensive picture of CE as researched and practiced in different regions of the world. Featuring in-depth analysis of complex real-life applications and experiences, this book demonstrates that Concurrent Engineering is used widely in many industries and that the same basic engineering principles can also be applied to new, emerging fields like sustainable mobility. Designed to serve as a valuable reference to industry experts, managers, students, researchers, and software developers, this book is intended to serve as both an introduction to development and as an analysis of the novel approaches and techniques of CE, as well as being a compact reference for more experienced readers.
Author: Anton Wiberg Publisher: Linköping University Electronic Press ISBN: 9179299857 Category : Languages : en Pages : 69
Book Description
In recent decades, the development of computer-controlled manufacturing by adding materiallayer by layer, called Additive Manufacturing (AM), has developed at a rapid pace. The technologyadds possibilities to the manufacturing of geometries that are not possible, or at leastnot economically feasible, to manufacture by more conventional manufacturing methods. AMcomes with the idea that complexity is free, meaning that complex geometries are as expensiveto manufacture as simple geometries. This is partly true, but there remain several design rulesthat needs to be considered before manufacturing. The research field Design for Additive Manufacturing(DfAM) consists of research that aims to take advantage of the possibilities of AMwhile considering the limitations of the technique. Computer Aided technologies (CAx) is the name of the usage of methods and software thataim to support a digital product development process. CAx includes software and methodsfor design, the evaluation of designs, manufacturing support, and other things. The commongoal with all CAx disciplines is to achieve better products at a lower cost and with a shorterdevelopment time. The work presented in this thesis bridges DfAM with CAx with the aim of achieving designautomation for AM. The work reviews the current DfAM process and proposes a new integratedDfAM process that considers the functionality and manufacturing of components. Selectedparts of the proposed process are implemented in a case study in order to evaluate theproposed process. In addition, a tool that supports part of the design process is developed. The proposed design process implements Multidisciplinary Design Optimization (MDO) witha parametric CAD model that is evaluated from functional and manufacturing perspectives. Inthe implementation, a structural component is designed using the MDO framework, which includesComputer Aided Engineering (CAE) models for structural evaluation, the calculation ofweight, and how much support material that needs to be added during manufacturing. Thecomponent is optimized for the reduction of weight and minimization of support material,while the stress levels in the component are constrained. The developed tool uses methodsfor high level Parametric CAD modelling to simplify the creation of parametric CAD modelsbased on Topology Optimization (TO) results. The work concludes that the implementation of CAx technologies in the DfAM process enablesa more automated design process with less manual design iterations than traditional DfAM processes.It also discusses and presents directions for further research to achieve a fully automateddesign process for Additive Manufacturing.
Author: Garret N. Vanderplaats
Author: Garret N. Vanderplaats
Author: Jaroslaw Sobieszczanski-Sobieski
Author: Gang Lei
Author: Joaquim R. R. A. Martins
Author: Piotr Breitkopf
Author: Natalia M. Alexandrov
Author: Garret N. Vanderplaats
Author: Mykel J. Kochenderfer
Author: Josip Stjepandić
Author: Anton Wiberg