Collection of selected, peer-reviewed papers from the 3rd International Conference on Uncertainty in Mechanical Engineering (ICUME). The aim of ICUME is to discuss criteria, methods, and technologies to describe, evaluate and control uncertainty in mechanical engineering applications. International scholars and specialists come together and provide a broad discussion forum on the description, evaluation, avoidance, elimination of and adaptation to uncertainty. It is the aim to control uncertainty throughout the entire lifetime in planning, development, production, and usage of mechanical structures and systems. Engineers, mathematicians and other experts working in uncertainty evaluation exchange the latest research results and share their experiences in uncertainty control.
Selected, peer reviewed papers from the 3rd International Conference on Uncertainty in Mechanical Engineering (ICUME 2018), November 15 - 16, 2018, Darmstadt, Germany
- Preface
- Chapter 1: Adequate Prediction of Structural Dynamic System Behavior for Decision Making in Early Design Stage
- Quantification of Uncertainty in the Mathematical Modelling of a Multivariable Suspension Strut Using Bayesian Interval Hypothesis-Based Approach
- Sparse Gaussian Process Emulators for Surrogate Design Modelling
- Chapter 2: Controlling Product Properties in Manufacturing Processes
- Reducing Uncertainty in Shunt Damping by Model-Predictive Product Stiffness Control in a Single Point Incremental Forming Process
- Cloudbased Production Optimization - Potential and Limits Today
- Towards Damage Controlled Hot Forming
- Numerical Comparison of Three Different Feedback Control Schemes Applied on a Forming Operation
- Chapter 3: Contemporary Design - From Intelligent Components to Resilient Systems
- Adaptivity as a Property to Achieve Resilience of Load-Carrying Systems
- Resilient Product Development - A New Approach for Controlling Uncertainty
- Optimal Booster Station Design and Operation under Uncertain Load
- Chapter 4: Optimization under Uncertainty
- Optimal Placement of Active Bars for Buckling Control in Truss Structures under Bar Failures
- Robust Design of a Smart Structure under Manufacturing Uncertainty via Nonsmooth PDE-Constrained Optimization
- Chapter 5: Mastering Uncertainty by Digitalization
- Comparison of Inductive Inference Mechanisms and their Suitability for an Information Model for the Visualization of Uncertainty
- Concept of a Resilient Process Chain to Control Uncertainty of a Hydraulic Actuator
- Methods and Technologies for Research- and Metadata Management in Collaborative Experimental Research
- Chapter 6: Resilient Technical Systems
- Resilience in Mechanical Engineering - A Concept for Controlling Uncertainty during Design, Production and Usage Phase of Load-Carrying Structures
- Towards Resilient Process Networks - Designing Booster Stations via Quantified Programming
- Algorithmic Design and Resilience Assessment of Energy Efficient High-Rise Water Supply Systems
- Chapter 7: Responsibility for Autonomous Systems
- Autonomous Manufacturing Processes under Legal Uncertainty
- On Obligations in the Development Process of Resilient Systems with Algorithmic Design Methods
- Chapter 8: Uncertainty in High Precision Manufacturing Processes
- Simulation of Multi-Stage Fine Machining Processes at the Example of Valve Guide and Valve Seat
- Adjustment of Axis Offset Errors during Reaming
- Cross-Domain Tolerance Analysis for Directional Control Valves Based on Imperfect Information
- Chapter 9: Uncertainty Quantification
- Estimation of Uncertainty in the Lateral Vibration Attenuation of a Beam with Piezo-Elastic Supports by Neural Networks
- Inverse Interval Field Quantification via Digital Image Correlation