Data Driven Engineering Design
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Data Driven Engineering Design
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Author : Ang Liu
language : en
Publisher: Springer Nature
Release Date : 2021-10-09
Data Driven Engineering Design written by Ang Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-09 with Technology & Engineering categories.
This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.
Design Methodology For Future Products
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Author : Dieter Krause
language : en
Publisher: Springer Nature
Release Date : 2021-12-13
Design Methodology For Future Products written by Dieter Krause and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-13 with Technology & Engineering categories.
Design Methodology for Future Products – Data Driven, Agile and Flexible provides an overview of the recent research in the field of design methodology from the point of view of the members of the scientific society for product development (WiGeP - Wissenschaftliche Gesellschaft für Produktenwicklung e.V.). This book aims to contribute to design methods and their implementation for innovative future products. The main focus is the crucial data-driven, agile, and flexible way of working. Four topics are covered in corresponding chapters, Methods for Product Development and Management, Methods for Specific Products and Systems, Facing the Challenges in Product Development and Model-Based Engineering in Product Development. This publication starts with the agile strategic foresight of sustainable mechatronic and cyber-physical systems, moves on to the topics of system generation engineering in development processes, followed by the technical inheritance in data-driven product development. Product improvements are shown via agile experiential learning based on reverse engineering and via combination of usability and emotions. Furthermore, the development of future-oriented products in the field of biomechatronic systems, sustainable mobility systems and in situ sensor integration is shown. The overcoming of challenges in product development is demonstrated through context-adapted methods by focusing on efficiency and effectiveness, as well as designer-centered methods to tackle cognitive bias. Flow design for target-oriented availability of data and information in product development is addressed. Topics of model-based systems engineering are applied to the function-driven product development by linking model elements at all stages and phases of the product. The potential of model-based systems engineering for modular product families and engineering of multidisciplinary complex systems is shown.
Data Driven Technology For Engineering Systems Health Management
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Author : Gang Niu
language : en
Publisher: Springer
Release Date : 2016-07-27
Data Driven Technology For Engineering Systems Health Management written by Gang Niu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-27 with Technology & Engineering categories.
This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
Data Driven Methodologies For Decision Making In Engineering Design
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Author : Dedy Suryadi
language : en
Publisher:
Release Date : 2019
Data Driven Methodologies For Decision Making In Engineering Design written by Dedy Suryadi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Data Driven Controller Design
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Author : Alexandre Sanfelice Bazanella
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-16
Data Driven Controller Design written by Alexandre Sanfelice Bazanella and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-16 with Technology & Engineering categories.
Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990’s. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common theoretical framework, which fits also a large family of adaptive control methods: the MRAC (Model Reference Adaptive Control) methods. This common theoretical framework has been developed and presented very recently. The book is primarily intended for PhD students and researchers - senior or junior - in control systems. It should serve as teaching material for data-based and adaptive control courses at the graduate level, as well as for reference material for PhD theses. It should also be useful for advanced engineers willing to apply data-based design. As a matter of fact, the concepts in this book are being used, under the author’s supervision, for developing new software products in a automation company. The book will present simulation examples along the text. Practical applications of the concepts and methodologies will be presented in a specific chapter.
Financial Data Engineering
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Author : Tamer Khraisha
language : en
Publisher:
Release Date : 2024-12-31
Financial Data Engineering written by Tamer Khraisha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Business & Economics categories.
Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical view of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed. A data engineer who specializes in finance not only has specific data engineering knowledge, but also a good understanding of financial domain-specific problems, approaches, data ecosystem, data providers, data formats, technological constraints, identifiers, entities, regulatory requirements, and governance. This book offers a comprehensive, practical, domain-driven approach to financial data engineering with real use cases, market practices, and hands-on projects. You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering Structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source and cloud technologies
Data Driven Systems Engineering For Bioinspired Integrative Design
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Author : Luca Gabriele De Vivo Nicoloso
language : en
Publisher:
Release Date : 2021
Data Driven Systems Engineering For Bioinspired Integrative Design written by Luca Gabriele De Vivo Nicoloso and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Engineering design problems can be discussed under the framework of decision making, namely, engineering design decisions. Inherently, accounting for uncertainty factors is an indispensable part of these decision processes. The goal of design decisions is to control or reduce the variational effect in decision consequences induced by many uncertainty factors. If we look at current technological trends, specifically the industry 4.0 movement, we can quickly appreciate the big push in science and technology for the digitalization of design, manufacturing, and management processes to reduce the amount of uncertainty present during innovation attempts. This work explores the value of data-driven integrated design and digital fabrication and how it allowed us to drive innovation in more than one domain. From examples in biomimicry discoveries to prostheses and unmanned aerial vehicle designs to the use of drones for emergency response, the key ideas of the proposed data-driven design paradigm are demonstrated. Earlier works on data-driven design and digital manufacturing have demonstrated its potential to disrupt the way we think about engineering design processes. However, constant modernization in these fields keeps pushing the boundaries on what is possible, and these territories remain relatively uncharted. This research aims to explore how a combination of spatial data sets can serve as a point of entry for data-driven innovative designs. The process starts with a different range of data acquisition tools and processing techniques, followed by computational analysis and optimization designs, all the way to digital manufacturing by means of 3D printing and validation via mechanical and functional testing. These data sets enabled the synthesis of digital twin models, which allowed us to begin a reverse engineering process for a series of multiple purposes. To begin our study, we focused on new methods of additive manufacturing with a special focus on composite 3D printing. We explored the current state of knowledge in the field of composite additive manufacturing. We investigated all different methods of 3D printing and the current broad range of materials available. We also gained a deep understanding of the different optimization opportunities that can be gained by incorporating fibers, chopped or continuous, into polymer filament additive manufacturing. Now that we know we can design and manufacture almost anything we can imagine we asked ourselves what would that be? At this point we explored new trends in the field of digital modeling, simulation, and optimization techniques. Starting in the cyber context we can create a digital twin that satisfies the objective functions of an engineering system such as lightweight, strong, controllable, manufacturable, and then use these objective functions as an opportunity to optimize over the design space. To prove this concept, we selected an engineering system design challenge: The design and optimization of a novel box wing vertical takeoff and landing aircraft intended to serve in long endurance environmental and archeological recognition missions as well as serving as the starting point for the development of the next generation of urban air mobility platforms. During the design of the Prandtl Box wing aircraft system we found that if we wanted to design better aeronautical systems, we needed to find a way to design lighter and stronger structures. This is the point when we decided to look into nature's library. We dived deep into biomimicry and proved how data and visualization driven research together with traditional mechanical testing, allows us to grasp a better insight on evolutionary optimization and its applications on structural design and material science. The ability to optimize and build stronger performing structures that follow form to function allowed us to add an extra level of complexity to our engineering system design. We added a human in the loop. This presented us with a unique set of functional requirements. We were faced with the challenge on how to translate these functional requirements into new objective functions. Using this new set of objective functions and the engineering system design methodology developed in previous studies we designed and tested a bioinspired transtibial prosthesis, which can be entirely 3D printed in a single piece allowing us to solve a global accessibility challenge. Additional work was done where we focused on the use of drones for emergency response after natural events and its applications on data-driven structural damage assessment during and after earthquakes. This work is not presented in this dissertation, but published material can be found online and the vita section of my thesis.
Engineering Data Management
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Author : William J. Rasdorf
language : en
Publisher:
Release Date : 1990
Engineering Data Management written by William J. Rasdorf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Data Driven Strategies For Engineering Design And Diagnostics
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Author : Susheel Dharmadhikari
language : en
Publisher:
Release Date : 2023
Data Driven Strategies For Engineering Design And Diagnostics written by Susheel Dharmadhikari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
The dissertation explores data-driven methods for design and diagnostics, specifically in the areas of fatigue crack detection and pin fin design optimization. In terms of diagnostics, detecting fatigue damage is crucial for structural health monitoring, but it can be challenging to identify the emergence of fatigue-induced cracks during operation. This dissertation investigates fatigue damage detection using a novel imaging setup and two types of sensors, viz., ultrasonics and force-displacement. The study achieves successful damage detection with over 95% accuracy by applying deep neural networks. Additionally, the study explores the use of transfer and mixed-learning frameworks that can adapt a pre-trained deep neural network to different specimens with varying notch geometries. With the help of force-displacement sensor data and a random forests-based classifier, it is shown that fatigue damage can also be reliably identified with global information. Regarding data-driven design, the dissertation addresses the problem of pin-fin design, which has been the focus of consistent research in the past. With the emergence of additive manufacturing technologies, the design problem has expanded to include complex geometries for improved heat transfer and reduced pressure drop. The dissertation applies Gaussian processes-based surrogate models and Bayesian optimization to design new concepts for pin-fins. To facilitate a larger design space exploration, an automated simulation framework is developed, which integrates Python, MATLAB, and ANSYS into a single software for iterative simulations. The study also includes global and local sensitivity analyses to understand the impact of design features on the objective.
Data Driven Modeling Filtering And Control
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Author : Carlo Novara
language : en
Publisher: Institution of Engineering and Technology
Release Date : 2019-07-10
Data Driven Modeling Filtering And Control written by Carlo Novara and has been published by Institution of Engineering and Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-10 with Technology & Engineering categories.
The scientific research in many engineering fields has been shifting from traditional first-principle-based to data-driven or evidence-based theories. The latter methods may enable better system design, based on more accurate and verifiable information.