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.

Mechanical Engineering in Uncertainties From Classical Approaches to Some Recent Developments

Mechanical Engineering in Uncertainties From Classical Approaches to Some Recent Developments
Author:
Publisher: John Wiley & Sons
Total Pages: 352
Release: 2021-04-01
Genre: Science
ISBN: 1119817617

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Considering the uncertainties in mechanical engineering in order to improve the performance of future products or systems is becoming a competitive advantage, sometimes even a necessity, when seeking to guarantee an increasingly high safety requirement. Mechanical Engineering in Uncertainties deals with modeling, quantification and propagation of uncertainties. It also examines how to take into account uncertainties through reliability analyses and optimization under uncertainty. The spectrum of the methods presented ranges from classical approaches to more recent developments and advanced methods. The methodologies are illustrated by concrete examples in various fields of mechanics (civil engineering, mechanical engineering and fluid mechanics). This book is intended for both (young) researchers and engineers interested in the treatment of uncertainties in mechanical engineering.

Uncertainty in Mechanical Engineering

Uncertainty in Mechanical Engineering
Author: Peter F. Pelz
Publisher: Springer Nature
Total Pages: 308
Release: 2021-05-26
Genre: Technology & Engineering
ISBN: 303077256X

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This open access book reports on methods and technologies to describe, evaluate and control uncertainty in mechanical engineering applications. It brings together contributions by engineers, mathematicians and legal experts, offering a multidisciplinary perspective on the main issues affecting uncertainty throughout the complete system lifetime, which includes process and product planning, development, production and usage. The book is based on the proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), organized by the Collaborative Research Center (CRC) 805 of the TU Darmstadt, and held online on June 7–8, 2021. All in all, it offers a timely resource for researchers, graduate students and practitioners in the field of mechanical engineering, production engineering and engineering optimization.

Uncertainty in Mechanical Engineering

Uncertainty in Mechanical Engineering
Author: Holger Hanselka
Publisher: Trans Tech Publications Ltd
Total Pages: 230
Release: 2011-09-27
Genre: Technology & Engineering
ISBN: 3038137073

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The objective of controlling uncertainty in mechanical engineering is significantly to enhance safety, reliability and economic efficiency in the development, production, use and conservation of natural resources. Volume is indexed by Thomson Reuters CPCI-S (WoS). This special collection of 19 peer-reviewed papers offers an academic and industrial perspective on the description, evaluation and control of uncertainty in: 1 Development, 2 Production and 3 Usage. This work should meet the needs of a broad readership, and motivate further investigations.

Mechanical Vibration

Mechanical Vibration
Author: Haym Benaroya
Publisher: CRC Press
Total Pages: 602
Release: 2017-08-29
Genre: Technology & Engineering
ISBN: 1498753019

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Mechanical Vibration: Analysis, Uncertainties, and Control, Fourth Edition addresses the principles and application of vibration theory. Equations for modeling vibrating systems are explained, and MATLAB® is referenced as an analysis tool. The Fourth Edition adds more coverage of damping, new case studies, and development of the control aspects in vibration analysis. A MATLAB appendix has also been added to help students with computational analysis. This work includes example problems and explanatory figures, biographies of renowned contributors, and access to a website providing supplementary resources.

Uncertainty in Mechanical Engineering III

Uncertainty in Mechanical Engineering III
Author: Peter F. Pelz
Publisher: Trans Tech Publications Ltd
Total Pages: 326
Release: 2018-11-20
Genre: Technology & Engineering
ISBN: 3035733104

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Selected, peer reviewed papers from the 3rd International Conference on Uncertainty in Mechanical Engineering (ICUME 2018), November 15 - 16, 2018, Darmstadt, Germany

Uncertainty Analysis for Engineers and Scientists

Uncertainty Analysis for Engineers and Scientists
Author: Faith A. Morrison
Publisher: Cambridge University Press
Total Pages: 389
Release: 2021-01-07
Genre: Computers
ISBN: 1108478352

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Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.

Uncertainty in Mechanical Engineering II

Uncertainty in Mechanical Engineering II
Author: Peter F. Pelz
Publisher: Trans Tech Publications Ltd
Total Pages: 260
Release: 2015-11-23
Genre: Technology & Engineering
ISBN: 3035701334

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Collection of selected, peer reviewed papers from the 2nd International Conference on Uncertainty in Mechanical Engineering (ICUME 2015), November 19 – 20, 2015, Darmstadt, Germany. The 24 papers are grouped as follows: Chapter 1: Uncertainty in Mechanical Engineering Chapter 2: Uncertainty of Structural Dynamic Improvements in Light Weight Design Chapter 3: Modular Design and Scaling for Reduced Uncertainties in the Design Process Chapter 4: Improved Product Quality by Online Monitoring and Closed-Loop Control of Manufacturing Processes Chapter 5: Uncertainty in High Precision Manufacturing Processes Chapter 6: Modelling Uncertainty Information by Means of Semantics Chapter 7: Uncertainty Quantification Chapter 8: Optimization under Uncertainty Chapter 9: Binary Decisions under Uncertainty

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
Author: Bilal Ayyub
Publisher: Springer Science & Business Media
Total Pages: 414
Release: 1997-10-31
Genre: Computers
ISBN: 9780792380306

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Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.