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Author: Berk Öztürk
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
In anticipation of future aerospace design problems becoming increasingly coupled, complex and risky, this thesis provides a new perspective for dealing with design challenges using structured mathematical optimization. The proposed methods inject mathematical rigor into engineering design methods while keeping practical concerns for conceptual design in focus.
Author: Berk Öztürk
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
In anticipation of future aerospace design problems becoming increasingly coupled, complex and risky, this thesis provides a new perspective for dealing with design challenges using structured mathematical optimization. The proposed methods inject mathematical rigor into engineering design methods while keeping practical concerns for conceptual design in focus.
Author: Berk Öztürk
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
There is a need to adapt and improve conceptual design methods through better optimization, in order to address the challenge of designing future engineered systems. Aerospace design problems are tightly-coupled optimization problems, and require all-at-once solution methods for design consensus and global optimality. Although the literature on design optimization has been growing, it has generally focused on the use of gradient-based and heuristic methods, which are limited to local and low-dimensional optimization respectively. There are significant benefits to leveraging structured mathematical optimization instead. Mathematical optimization provides guarantees of solution quality, and is fast, scalable, and compatible with using physics-based models in design. More importantly perhaps, there has been a wave of research in optimization and machine learning that provides new opportunities to improve the engineering design process. This thesis capitalizes on two such opportunities. The first opportunity is to enable efficient all-at-once optimization over constraints and objectives that use arbitrary mathematical primitives. This work proposes a constraint sampling and learning approach for global optimization, leveraging developments in machine learning and mixed-integer optimization. More specifically, the feasible space of intractable constraints is sampled using existing and novel design of experiments methods, and learned using optimal classification trees with hyperplanes (OCT-Hs). OCT-Hs describe union-of-polyhedra approximations of intractable constraints, which are solved efficiently using commercial solvers to find near-feasible and near-optimal solutions to the global optimization problem. The constraints are then checked and the solution is repaired using projected gradient methods, ensuring feasibility and local optimality. The method is first tested on synthetic examples, where it finds the global optima for 9 out of 11 benchmarks, and high-performing solutions otherwise. Then it is applied to two real-world problems from the aerospace literature, and especially to a satellite on-orbit servicing problem that cannot be addressed via other global optimization methods. These applications demonstrate that decision tree driven optimization provides efficient, practical and optimal solutions to difficult global optimization problems present in aerospace design as well as other domains, regardless of the form of the underlying constraints. The second opportunity is to optimize designs affected by parametric uncertainty in a tractable and deterministic manner, while providing guarantees of constraint satisfaction. Inspired by the wealth of literature on robust optimization, and specifically on robust geometric programming, this thesis proposes and implements robust signomial programming to solve engineering design problems under uncertainty. The methods are tested on a conceptual aircraft design problem, demonstrating that robust signomial programs are sufficiently general to address engineering design problems, solved efficiently by commercial solvers, and result in designs that protect deterministically against uncertain parameter outcomes from predefined sets. In addition, robust designs are found to be less conservative than designs with margins; robust aircraft demonstrate 9% better average performance than aircraft designed with margins over the same scenarios, while providing guarantees of constraint feasibility. In anticipation of future aerospace design problems becoming increasingly coupled, complex and risky, this thesis provides a new perspective for dealing with design challenges using structured mathematical optimization. The proposed methods inject mathematical rigor into engineering design methods while keeping practical concerns for conceptual design in focus.
Author: William Y. Fowlkes
Publisher: Prentice Hall
ISBN: 9780201633672
Category : Technology & Engineering
Languages : en
Pages : 403
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Book Description
Robust Design is the procedure used by design engineers to reduce the effects of order to produce the highest quality products possible. This book includes real life case studies focusing on mechanical, chemical and imaging design that illustrate potential problems and their solutions and offers WinRobust Lite software and practice problems.
Author: Sung H. Park
Publisher: World Scientific
ISBN: 9812778675
Category : Technology & Engineering
Languages : en
Pages : 558
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Book Description
This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.
Author: Genichi Taguchi
Publisher: McGraw Hill Professional
ISBN: 9780071399395
Category : Technology & Engineering
Languages : en
Pages : 266
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Book Description
Powerful and elegantly simple. Achieve higher quality...lower costs...faster time to market Companies worldwide have used the methods of quality expert Genichi Taguchi for the past 30 years with phenomenal product development cost savings and quality improvements. Robust Engineering, by this three-time Deming Prize winner, along with Subir Chowdhury and Shin Taguchi, is the first book to explain and illustrate his newest, most revolutionary methodology, Technology Development. It joins Design of Experiments and Robust Design as the framework on which your company can build a competitive edge. Case studies of real-world organizations Ford, ITT, 3M, Minolta, NASA, Nissan, Xerox and 9 others show you how the techniques of all three methodologies can be successfully applied. You'll hammer flexibility into your manufacturing organization to minimize product development costs, reduce product time-to-market, and fully satisfy customers needs. Project Management is going to be huge in the next decade...--Fortune Busy managers single-source guide to planning, organizing and controlling projects At last there's a concise, compact (5Ó x 8Ó) hands-on guide that puts state-of-the-art management concepts and processes at your fingertips. Project Manager's Portable Handbook, by David I. Cleland and Lewis R. Ireland, is your step-by-step guide to the nuts-and-bolts details that spell project management success. YouÕre shown how to organize and manage everything from small to multiple projects...lead and coach project team members...and manage within a strategic context from project partnering to dealing with the board of directors and other stakeholders. You'll find out how to: Select and use PM software; Develop winning proposals; Handle legal considerations; Come out on top in contract
Author: Sung Hyun Park
Publisher: World Scientific Publishing Company
ISBN: 9813107073
Category : Technology & Engineering
Languages : en
Pages : 558
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Book Description
This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.
Author: Madhav Phadke
Publisher:
ISBN: 9780578940892
Category :
Languages : en
Pages :
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Book Description
The book presents a systematic and efficient method to design high quality / reliability and high performance products / processes at low cost. Contains case studies from diverse engineering fields to describe Robust Design / Taguchi method.Some topics covered are: orthogonal arrays, Signal-to-Noise ratios as design quality metric, computer-aided robust design techniques, and more.
Author: Erica Jen
Publisher: Oxford University Press
ISBN: 0195165330
Category : Juvenile Nonfiction
Languages : en
Pages : 306
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Book Description
'Robust Design' brings together an eminent group of authors in a wide range of fields presenting aspects of robustness in biological, ecological and computational systems.
Author: Subir Chowdhury
Publisher: John Wiley & Sons
ISBN: 111921212X
Category : Technology & Engineering
Languages : en
Pages : 478
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Book Description
Robust Optimization is a method to improve robustness using low-cost variations of a single, conceptual design. The benefits of Robust Optimization include faster product development cycles; faster launch cycles; fewer manufacturing problems; fewer field problems; lower-cost, higher performing products and processes; and lower warranty costs. All these benefits can be realized if engineering and product development leadership of automotive and manufacturing organizations leverage the power of using Robust Optimization as a competitive weapon. Written by world renowned authors, Robust Optimization: World’s Best Practices for Developing Winning Vehicles, is a ground breaking book whichintroduces the technical management strategy of Robust Optimization. The authors discuss what the strategy entails, 8 steps for Robust Optimization and Robust Assessment, and how to lead it in a technical organization with an implementation strategy. Robust Optimization is defined and it is demonstrated how the techniques can be applied to manufacturing organizations, especially those with automotive industry applications, so that Robust Optimization creates the flexibility that minimizes product development cost, reduces product time-to-market, and increases overall productivity. Key features: Presents best practices from around the globe on Robust Optimization that can be applied in any manufacturing and automotive organization in the world Includes 19 successfully implemented best case studies from automotive original equipment manufacturers and suppliers Provides manufacturing industries with proven techniques to become more competitive in the global market Provides clarity concerning the common misinterpretations on Robust Optimization Robust Optimization: World’s Best Practices for Developing Winning Vehicles is a must-have book for engineers and managers who are working on design, product, manufacturing, mechanical, electrical, process, quality area; all levels of management especially in product development area, research and development personnel and consultants. It also serves as an excellent reference for students and teachers in engineering.
Author: Sung Park
Publisher: Boom Koninklijke Uitgevers
ISBN: 9780412556203
Category : Business & Economics
Languages : en
Pages : 356
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Book Description
This book is written primarily for engineers who want to use statistical designs for quality engineering, and for statisticians who want to know the wide range of applications of experimental design in the manufacturing industry. Significantly, Robust Design and Analysis for Quality Engineering addresses the following techniques: Taguchi's quality engineering approaches, concepts of robustness in experimental designs, response surface design and its applications, Pareto-type ANOVA for analysis of parameter design, and strategies of quality improvement efforts through robust design and analysis. Through a series of real case studies, these important techniques are made readily accessible to all readers. This is also the key text for senior undergraduate and postgraduate students studying engineering and experimental design.
