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Uncertainty in Mechanical Engineering : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021.

Bibliographic Details
Main Author: Pelz, Peter F.
Other Authors: Groche, Peter.
Format: eBook
Language:English
Published: Cham : Springer International Publishing AG, 2021.
Edition:1st ed.
Series:Lecture Notes in Mechanical Engineering Series
Subjects:
Electronic books.
Online Access:Click to View
Table of Contents:
  • 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.
  • 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.
  • 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.
  • 4 Detection of Uncertainty in Dynamic Models.

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