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Optimal Design with Advanced Materials

Optimal Design with Advanced Materials
Author: P. Pedersen
Publisher: Elsevier
Total Pages: 528
Release: 2012-12-02
Genre: Technology & Engineering
ISBN: 0444600302

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Optimal design with advanced materials is becoming a very progressive and challenging domain within applied mechanics. The increasing use of advanced materials, such as anisotropic fiber composites and ceramics, is instigating new developments to be made within constitutive modelling and the computational methods of analysis, sensitivity analysis and optimization. A new dimension of optimal design is being realised by the direct tailoring and building of new materials. Research in this area is accelerating rapidly with the results already being applied to high technology industries. Two vital high technology research areas covered in this volume include homogenization and smart materials/structures. The 31 papers will prove an indispensable reference source for all those involved in the interdisciplinary research and development aspects of mechanics, materials and mathematics in the design of advanced materials.


Advanced Materials Processing and Manufacturing

Advanced Materials Processing and Manufacturing
Author: Yogesh Jaluria
Publisher: Springer
Total Pages: 360
Release: 2018-05-24
Genre: Technology & Engineering
ISBN: 3319769839

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This book focuses on advanced processing of new and emerging materials, and advanced manufacturing systems based on thermal transport and fluid flow. It examines recent areas of considerable growth in new and emerging manufacturing techniques and materials, such as fiber optics, manufacture of electronic components, polymeric and composite materials, alloys, microscale components, and new devices and applications. The book includes analysis, mathematical modeling, numerical simulation and experimental study of processes for prediction, design and optimization. It discusses the link between the characteristics of the final product and the basic transport mechanisms and provides a foundation for the study of a wide range of manufacturing processes. Focuses on new and advanced methods of manufacturing and materials processing with traditional methods described in light of the new approaches; Maximizes reader understanding of the fundamentals of how materials change, what transport processes are involved, and how these can be simulated and optimized - concepts not covered elsewhere; Introduces new materials and applications in manufacturing and summarizes traditional processing methods, such as heat treatment, extrusion, casting, injection molding, and bonding, to show how they have evolved and how they could be used for meeting the challenges that we face today.


Optimal Design with Advanced Materials

Optimal Design with Advanced Materials
Author: Pauli Pedersen
Publisher: Elsevier Science Limited
Total Pages: 515
Release: 1993-01-01
Genre: Technology & Engineering
ISBN: 9780444898692

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Optimal design with advanced materials is becoming a very progressive and challenging domain within applied mechanics. The increasing use of advanced materials, such as anisotropic fiber composites and ceramics, is instigating new developments to be made within constitutive modelling and the computational methods of analysis, sensitivity analysis and optimization. A new dimension of optimal design is being realised by the direct tailoring and building of new materials. Research in this area is accelerating rapidly with the results already being applied to high technology industries. Two vital high technology research areas covered in this volume include homogenization and smart materials/structures. The 31 papers will prove an indispensable reference source for all those involved in the interdisciplinary research and development aspects of mechanics, materials and mathematics in the design of advanced materials.


Optimal Design of Meso-Structured Materials Under Uncertainty

Optimal Design of Meso-Structured Materials Under Uncertainty
Author: Jiten Patel
Publisher: LAP Lambert Academic Publishing
Total Pages: 112
Release: 2010-12
Genre: Reliability (Engineering)
ISBN: 9783843379793

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The main objective of the topology optimization is to fulfill the objective function with the minimum amount of material. This reduces the overall cost of the structure and at the same time reduces the assembly, manufacturing and maintenance costs because of the reduced number of parts in the final structure. The concept of reliability analysis can be incorporated into the deterministic topology optimization method; this incorporated scheme is referred to as Reliability-based Topology Optimization (RBTO). In RBTO, the statistical nature of constraints and design problems are defined in the objective function and probabilistic constraint. The probabilistic constraint can specify the required reliability level of the system. In practical applications, however, finding global optimum in the presence of uncertainty is a difficult and computationally intensive task, since for every possible design a full stochastic analysis has to be performed for estimating various statistical.


Advanced Materials Design and Mechanics

Advanced Materials Design and Mechanics
Author: Jing Guo
Publisher: Trans Tech Publications Ltd
Total Pages: 840
Release: 2012-09-28
Genre: Technology & Engineering
ISBN: 3038138967

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These are the proceedings of the 2012 International Conference on Advanced Materials Design and Mechanics (ICAMDM 2012) held on June 5-7th 2012 in Xiamen, China. The 167 peer-reviewed papers are grouped into 5 chapters: Advanced Materials Design; Materials Engineering; Manufacturing, Technology and Processing; Mechanical Engineering; Applied Computer Technologies and Control. Volume is indexed by Thomson Reuters CPCI-S (WoS).


Mastering Uncertainty in Mechanical Engineering

Mastering Uncertainty in Mechanical Engineering
Author: Peter F. Pelz
Publisher: Springer Nature
Total Pages: 483
Release: 2021-10-11
Genre: Technology & Engineering
ISBN: 3030783545

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This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.


Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes

Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes
Author: Alor-Hernández, Giner
Publisher: IGI Global
Total Pages: 707
Release: 2016-05-03
Genre: Business & Economics
ISBN: 1522501312

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Competitive advantage is a key factor to the success of any business in modern society. To achieve this goal, effective strategies for process improvement must be researched and implemented into an organization. The Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes examines optimization techniques for improved business operations and procedures in the industrial sector. Highlighting management techniques, innovative approaches, and technological tools, this publication is an essential reference source for professionals, researchers, consultants, upper-level students, and academicians interested in the advancement of knowledge in industrial communities.


Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design

Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design
Author: Ali Jahan
Publisher: Butterworth-Heinemann
Total Pages: 254
Release: 2016-02-17
Genre: Technology & Engineering
ISBN: 0081005415

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Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Second Edition, provides readers with tactics they can use to optimally select materials to satisfy complex design problems when they are faced with the vast range of materials available. Current approaches to materials selection range from the use of intuition and experience, to more formalized computer-based methods, such as electronic databases with search engines to facilitate the materials selection process. Recently, multi-criteria decision-making (MCDM) methods have been applied to materials selection, demonstrating significant capability for tackling complex design problems. This book describes the rapidly growing field of MCDM and its application to materials selection. It aids readers in producing successful designs by improving the decision-making process. This new edition updates and expands previous key topics, including new chapters on materials selection in the context of design problem-solving and multiple objective decision-making, also presenting a significant amount of additional case studies that will aid in the learning process. Describes the advantages of Quality Function Deployment (QFD) in the materials selection process through different case studies Presents a methodology for multi-objective material design optimization that employs Design of Experiments coupled with Finite Element Analysis Supplements existing quantitative methods of materials selection by allowing simultaneous consideration of design attributes, component configurations, and types of material Provides a case study for simultaneous materials selection and geometrical optimization processes