Uncertainty in Mechanical Engineering Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7–8, 2021
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 uncer...
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| Jazyk: | angličtina |
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Springer Nature
2021
Springer International Publishing AG The Author-funded |
| Vydání: | 1 |
| Edice: | Lecture Notes in Mechanical Engineering |
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| ISBN: | 9783030772567, 303077256X, 9783030772550, 3030772551 |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| Author | Pelz, Peter F Groche, Peter |
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| Editor | Pelz, Peter F Groche, Peter |
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| Notes | Electronic reproduction. Dordrecht: Springer, 2021. Requires the Libby app or a modern web browser. |
| OCLC | OCN: 1255184124 1255184124 |
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| PublicationSeriesTitle | Lecture Notes in Mechanical Engineering |
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| Snippet | This open access book reports on methods and technologies to describe, evaluate and control uncertainty in mechanical engineering applications. It brings... |
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| SubjectTerms | Applied Dynamical Systems Collaborative Research Centre 805 Complex Systems Complexity Computer-Aided Design (CAD) Cybernetics & systems theory Cybernetics and systems theory Designing Technical Systems Dynamics & statics Engineering Design Imprecision in Data/Models Information theory Legal Uncertainty of Autonomous Systems Machines Manufacturing Mastering Uncertainty by Digitalization Mathematics and Science Mechanical engineering and materials Model Uncertainty Nonfiction Open Access Book Optimization Under Uncertainty Physics Predicting Vibroacoustic Behavior Processes Production and industrial engineering Production engineering Reference, Information and Interdisciplinary subjects Research and information: general Resilient Technical Systems Resilient Water Supply Systems Science SFB 805 Statistical physics Technical design Technology Technology, Engineering, Agriculture, Industrial processes Technology: general issues Topology Optimization for Additive Manufacturing Uncertain Operating Conditions Uncertainty in Finite Element Models Uncertainty in Manufacturing and Production Uncertainty Quantification |
| SubjectTermsDisplay | Electronic books. Nonfiction. Physics. Science. Technology. |
| Subtitle | Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7–8, 2021 |
| TableOfContents | 4 Detection of Uncertainty in Dynamic Models 2.2 Bayesian Updating of the Measurement Uncertainty -- 3 Reconstructing Stress Resultants in Wind Turbine Towers -- 3.1 Inverse Mechanical Model (Relating a Strain State to Stress Resultants) -- 3.2 Probabilistic Inverse Mechanical Model -- 4 Numerical Example -- 5 Summary and Concluding Remarks -- References -- Mastering Uncertain Operating Conditions in the Development of Complex Machine Elements by Validation Under Dynamic Superimposed Operating Conditions -- 1 Introduction -- 2 Approach -- 2.1 Model Representation - Bringing the Application to the Laboratory -- 2.2 Paraffin Wax Phase Change Actuators for Detuning -- 2.3 Evaluation of Detuned Behavior -- 2.4 Backlash Free High-Load Bearing -- 2.5 Test Bench -- 2.6 Evaluation via AI -- 3 Application -- 3.1 Test Procedure -- 3.2 Exemplary Results -- 4 Conclusion -- References -- On Uncertainty, Decision Values and Innovation -- 1 Introduction -- 2 Decision Analytical Formulation -- 3 Decision Value and Technology Readiness -- 4 Decision Value Forecasting -- 4.1 Exemplary Study of Decision Value Forecasting -- 5 Summary and Conclusions -- References -- Assessment of Model Uncertainty in the Prediction of the Vibroacoustic Behavior of a Rectangular Plate by Means of Bayesian Inference -- 1 Introduction -- 2 Experimental and Finite Element Models -- 3 Probabilistic Parameter Calibration by Means of Bayesian Inference -- 4 Calibration Results and Assessment of the Model Uncertainty -- 5 Conclusions -- References -- Optimization Under Uncertainty -- Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss -- 1 Introduction -- 2 Model Equations of Transient Linear Elasticity and Their Discretization -- 3 Lamé-Parameter Estimation and the Optimal Experimental Design Problem -- 3.1 Derivative and Adjoint Computation -- 3.2 Computational Remarks Modelling of Resilient Coping Strategies within the Framework of the Resilience Design Methodology for Load-Carrying Systems in Mechanical Engineering -- 1 Introduction -- 2 Fundamentals -- 2.1 Resilience -- 2.2 Vulnerability -- 2.3 Functional Structure Modelling -- 3 Research Question -- 4 Modelling Resilient System Structures -- 4.1 General and Basic Resilient Coping Strategies -- 4.2 Modelling of Adaptivity for Resilient System Coping Strategies -- 5 Example of by-wire Car Brake System -- 6 Summary and Conclusions -- References -- Validation of an Optimized Resilient Water Supply System -- 1 Introduction -- 2 Test Rig -- 3 Mathematical Optimization Model -- 4 Results and Validation -- 5 Conclusion -- References -- Comparability of Water Infrastructure Resilience of Different Urban Structures -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Resilience Assessment -- 3.2 Comparability of Resilience -- 3.3 Real-World Sample WDSs -- 4 Results -- 5 Discussion -- References -- Uncertainty in Production -- Dealing with Uncertainties in Fatigue Strength Using Deep Rolling -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussions -- 4 Conclusions and Recommendations -- References -- Investigation on Tool Deflection During Tapping -- 1 Introduction -- 2 Effect of Tapping Tool Deflection on Thread Geometry -- 3 Model for Determining Tool Deflection During Tapping -- 3.1 Model Description -- 3.2 Model Calibration -- 3.3 Experimental Model Validation -- 4 Model Framework -- 5 Summary and Outlook -- References -- How to Predict the Product Reliability Confidently and Fast with a Minimum Number of Samples in the Wöhler Test -- 1 Introduction -- 2 Results -- 3 General Structure of Lifetime Models -- 4 Proposal for an Efficient Test Procedure for the Determination of Wöhler Curves 4.1 Research on the Test Conduction of Wöhler Tests -- 4.2 Prior Knowledge of the Wöhler Curve Parameters -- 4.3 Derivation of an Efficient Test Conduction -- 5 Example of Increasing the Efficiency of Costs and Time When Conducting Wöhler Tests -- 5.1 Data Basis -- 5.2 Evaluation Taking Prior Knowledge into Account -- 5.3 Concluions -- 6 Outlook -- References -- Tuning and Emulation of Mechanical Characteristics - Tunable Mounts and a Mechanical Hardware-in-the-Loop Approach for More Efficient Research and Testing -- 1 Introduction -- 1.1 Uncertainties in Early Phases of the Product Development -- 1.2 Smart Dynamic Testing -- 2 Active Dynamic Stiffness Emulation by the Mechanical Hardware-in-the-Loop Approach -- 2.1 The Mechanical Hardware-in-the-Loop (mHIL) System -- 2.2 Test Setup and Test Cases -- 2.3 Test Results -- 3 Discussion -- 4 Conclusion -- References -- Identifying and Mastering Legal Uncertainty Concerning Autonomous Systems -- 1 Product Compliance -- 2 Categories of Legal Uncertainty -- 2.1 Legal Framework Is Applicable -- 2.2 Legal Framework Is not Applicable: True Legal Uncertainty -- 3 Solutions -- 3.1 Product Compliance Management System -- 3.2 Risk-Based New Regulation for Artificial Intelligence -- 4 Conclusions -- References -- Uncertainty Quantification -- Identification of Imprecision in Data Using -Contamination Advanced Uncertainty Model -- 1 Introduction -- 1.1 Literature Status and History -- 2 Uncertainty -- 2.1 Interpretation of Lower and Upper Previsions -- 2.2 Classification of Uncertainty -- 2.3 Probability Under Different Conditions-Travelling to Work -- 2.4 Probability Under Different Conditions-Diagnosis and Treatment -- 2.5 Probability Under Different Conditions-Clutch Design -- 3 -Contamination Model -- 3.1 Definition -- 3.2 Rationale -- 3.3 Imprecision Identification-Method I 3.4 Imprecision Identification-Method II -- 4 Numerical Example -- 4.1 Chocolate Production Problem -- 4.2 Clutch Design Problem -- 5 Conclusion -- References -- Forward vs. Bayesian Inference Parameter Calibration: Two Approaches for Non-deterministic Parameter Calibration of a Beam-Column Model -- 1 Introduction -- 2 System Description -- 3 Mathematical Model of the Active Beam-Column -- 4 Model Parameter Calibration Approaches -- 4.1 Forward Parameter Calibration -- 4.2 Bayesian Inference Parameter Calibration -- 4.3 Comparison of Calibration Results -- 5 Conclusion -- References -- Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair -- 1 Introduction -- 2 Evaluation of NVH Performance -- 3 Numerical Methods for Uncertainty Quantification -- 3.1 Gaussian Process Regression -- 3.2 Generalized Polynomial Chaos Expansion -- 3.3 Sampling Methods -- 3.4 Sensitivity Analysis -- 4 Application of UQ Methods in Transmission Design -- 4.1 Analysis with Two Uncertain Parameters -- 4.2 Analysis with Five Uncertain Parameters -- 5 Conclusion -- References -- Approach to Assess Basic Deterministic Data and Model Form Uncertaint in Passive and Active Vibration Isolation -- 1 Introduction to Data and Model Form Uncertainty -- 2 Analytical Model -- 2.1 Vibration Excitation and Responses -- 2.2 Time Domain -- 2.3 Frequency Domain -- 3 Experimental Test Setup -- 4 Experimental Models -- 4.1 Excitation -- 4.2 Stiffness -- 4.3 Damping -- 4.4 Frequency Response Estimation and Coherence -- 5 Deterministic Uncertainty Measures -- 5.1 Measurement and Data Uncertainty -- 5.2 Model Form Uncertainty -- 6 Conclusion -- References -- Reconstructing Stress Resultants in Wind Turbine Towers Based on Strain Measurements -- 1 Introduction -- 2 Modelling Uncertainty in Strain Measurements -- 2.1 Prior Probabilistic Model of the Measurement Uncertainty Intro -- Preface -- Committees -- Local Scientific Committee -- International Scientific Committee -- Local Organizing Committee -- Contents -- Mastering Uncertainty by Digitalization -- Ontology-Based Calculation of Complexity Metrics for Components in CAD Systems -- 1 Introduction -- 2 Related Work -- 3 Concept -- 3.1 Ontologies -- 3.2 Metrics for Individuals -- 3.3 Metrics for Relations -- 3.4 Metrics for the Complicatedness -- 3.5 Examples -- 3.6 Fusion of the Metrics -- 4 Conclusions -- References -- Towards CAD-Based Mathematical Optimization for Additive Manufacturing - Designing Forming Tools for Tool-Bound Bending -- 1 Introduction -- 2 Mathematical Optimization and the Application to a Segmented Blank Holder -- 3 CAD-Based Mathematical Optimization -- 4 Finite Element Analysis and Shape Optimization -- 5 Conclusion and Outlook -- References -- Development of an Annotation Schema for the Identification of Semantic Uncertainty in DIN Standards -- 1 Introduction -- 2 Meaning, Knowledge, and Uncertainty -- 3 Taxonomy of Uncertainty -- 4 Information System -- 5 Conclusion and Outlook -- References -- Mastering Model Uncertainty by Transfer from Virtual to Real System -- 1 Introduction -- 2 Hardware-in-the-Loop Test Rig with Time Delay -- 2.1 HiL Stability -- 2.2 Time Delay Compensation Problems for Model Validation -- 3 Quarter Car Test Rig -- 3.1 FDVA Results in the Quarter Car Test Rig -- 4 Conclusion -- References -- Resilience -- Potentials and Challenges of Resilience as a Paradigm for Designing Technical Systems -- 1 Introduction -- 2 Overview of Resilience Concepts -- 3 Our Approach-Definition, Resilience Functions and Metrics -- 4 Design of Resilient Technical Systems -- 4.1 Practical Implications -- 4.2 Example Systems -- 5 Challenges and Potentials -- 5.1 Challenges -- 5.2 Potentials -- 6 Conclusion -- References |
| Title | Uncertainty in Mechanical Engineering |
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