06637nam 22007813u 450 991050300950332120231110233347.03-030-78354-5(CKB)5140000000013007EBL6749219(OCoLC)1277313977(AU-PeEL)EBL6749219(oapen)https://directory.doabooks.org/handle/20.500.12854/72238(MiAaPQ)EBC6749219(PPN)258298774(EXLCZ)99514000000001300720220617d2021|||| u|| |engur|n|---|||||txtrdacontentcrdamediacrrdacarrierMastering Uncertainty in Mechanical EngineeringCham Springer International Publishing AG20211 online resource (483 p.)Springer Tracts in Mechanical Engineering Description based upon print version of record.3-030-78353-7 Intro -- 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 Uncertainty2.2.1 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 Uncertainty3.6.1 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 Conflicts4.2.1 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 Tests4.3.5 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 -- References5 Methods and Technologies for Mastering UncertaintyThis 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.Springer Tracts in Mechanical Engineering Technical designbicsscOperational researchbicsscStochastic Data UncertaintyModel UncertaintyStructural UncertaintyRobust Optimization Under UncertaintyAdaptive Technical SystemsOptimal Design of Technical SystemsResilient Technical SystemsRobust DesignProduct Design Under UncertaintyVisualization of UncertaintySonderforschungsbereich (SFB) 805Fluid Dynamic Vibration Absorber3D Servo PressActive Air SpringActive/Semi-Active SystemsIncreasing Flexibility in ManufacturingOpen Access BookTechnical designOperational researchPelz Peter F904522Groche Peter904523Pfetsch Marc E1238451Schaeffner Maximilian1238452AU-PeELAU-PeELAU-PeELBOOK9910503009503321Mastering Uncertainty in Mechanical Engineering2874206UNINA