LEADER 06637nam 22007813u 450 001 9910503009503321 005 20231110233347.0 010 $a3-030-78354-5 035 $a(CKB)5140000000013007 035 $aEBL6749219 035 $a(OCoLC)1277313977 035 $a(AU-PeEL)EBL6749219 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/72238 035 $a(MiAaPQ)EBC6749219 035 $a(PPN)258298774 035 $a(EXLCZ)995140000000013007 100 $a20220617d2021|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMastering Uncertainty in Mechanical Engineering 210 $aCham $cSpringer International Publishing AG$d2021 215 $a1 online resource (483 p.) 225 1 $aSpringer Tracts in Mechanical Engineering 300 $aDescription based upon print version of record. 311 $a3-030-78353-7 327 $aIntro -- Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 Motivation -- 1.2 Holistic Control of Uncertainty over the Phases of the Product Life Cycle -- 1.3 Components are Represented in Models -- 1.4 Data and Data Sources -- 1.5 Component Structures -- 1.6 Sustainable Systems Design-The Extended Motivation for This Book -- 1.7 Outlook on the Following Book Structure -- References -- 2 Types of Uncertainty -- 2.1 Data Uncertainty -- 2.1.1 Introduction -- 2.1.2 Stochastic Data Uncertainty -- 2.1.3 Incertitude -- 2.2 Model Uncertainty 327 $a2.2.1 Functional Relations, Scope and Complexity of Mathematical Models -- 2.2.2 Approaches to Detect, Quantify, and Master Model Uncertainty -- 2.3 Structural Uncertainty -- References -- 3 Our Specific Approach on Mastering Uncertainty -- 3.1 Beyond Existing Approaches -- 3.2 Uncertainty Propagation Through Process Chains -- 3.3 Five Complementary Methods for Mastering Uncertainty in Process Chains -- 3.4 Time-Variant, Dynamic and Active Processes -- 3.5 Strategies for Mastering Uncertainty-Robustness, Flexibility, Resilience -- 3.6 Exemplary Technical System Mastering Uncertainty 327 $a3.6.1 Modular Active Spring-Damper System -- 3.6.2 Active Air Spring -- 3.6.3 3D Servo Press -- References -- 4 Analysis, Quantification and Evaluation of Uncertainty -- 4.1 Identification of Uncertainty During Modelling of Technical Processes -- 4.1.1 Analysis of Data Uncertainty Using the Example of Passive and Active Vibration Isolation -- 4.1.2 Bayesian Inference Based Parameter Calibration for a Mathematical Model of a Load-Bearing Structure -- 4.1.3 Model-Based Analysis of Uncertainty in Chained Machining Processes -- 4.2 Data-Induced Conflicts 327 $a4.2.1 Dealing with Data-Induced Conflicts in Technical Systems -- 4.2.2 Data-Induced Conflicts for Wear Detection in Hydraulic Systems -- 4.2.3 Fault Detection in a Structural System -- 4.3 Analysis, Quantification and Evaluation of Model Uncertainty -- 4.3.1 Detection of Model Uncertainty via Parameter Estimation and Optimum Experimental Design -- 4.3.2 Detection of Model Uncertainty in Mathematical Models of the 3D Servo Press -- 4.3.3 Assessment of Model Uncertainty for the Modular Active Spring-Damper System -- 4.3.4 Model Uncertainty in Hardware-in-the-loop Tests 327 $a4.3.5 Identification of Model Uncertainty in the Development of Adsorption Based Hydraulic Accumulators -- 4.3.6 Uncertainty Scaling-Propagation from a Real Model to a Full-Scale System -- 4.3.7 Improvement of Surrogate Models Using Observed Data -- 4.3.8 Uncertainty Quantification with Estimated Distribution of Input Parameters -- 4.4 Representation and Visualisation of Uncertainty -- 4.4.1 Ontology-Based Information Model -- 4.4.2 Visualisation of Geometric Uncertainty in CAD Systems -- 4.4.3 Digital Twin of Load Carrying Structures for the Mastering of Uncertainty -- References 327 $a5 Methods and Technologies for Mastering Uncertainty 330 $aThis open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering. 410 0$aSpringer Tracts in Mechanical Engineering 606 $aTechnical design$2bicssc 606 $aOperational research$2bicssc 610 $aStochastic Data Uncertainty 610 $aModel Uncertainty 610 $aStructural Uncertainty 610 $aRobust Optimization Under Uncertainty 610 $aAdaptive Technical Systems 610 $aOptimal Design of Technical Systems 610 $aResilient Technical Systems 610 $aRobust Design 610 $aProduct Design Under Uncertainty 610 $aVisualization of Uncertainty 610 $aSonderforschungsbereich (SFB) 805 610 $aFluid Dynamic Vibration Absorber 610 $a3D Servo Press 610 $aActive Air Spring 610 $aActive/Semi-Active Systems 610 $aIncreasing Flexibility in Manufacturing 610 $aOpen Access Book 615 7$aTechnical design 615 7$aOperational research 700 $aPelz$b Peter F$0904522 701 $aGroche$b Peter$0904523 701 $aPfetsch$b Marc E$01238451 701 $aSchaeffner$b Maximilian$01238452 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910503009503321 996 $aMastering Uncertainty in Mechanical Engineering$92874206 997 $aUNINA