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Uncertainty in mechanical engineering III / edited by Peter F. Pelz and Peter Groche.

By: Material type: TextTextSeries: Applied mechanics and materials ; v. 885.Publisher: [Pfaffikon], Switzerland : Trans Tech Publications, [2018]Copyright date: ©2018Description: 1 online resource : illustratios (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783035733105
  • 3035733104
Subject(s): Genre/Form: Additional physical formats: Print version:: Uncertainty in mechanical engineering III.DDC classification:
  • 620.11 23
LOC classification:
  • TA404.2
Online resources:
Contents:
Intro; Uncertainty in Mechanical Engineering III; Preface; Table of Contents; 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 ProcessCloudbased 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 LoadChapter 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 ResearchChapter 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 MethodsChapter 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
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Online resource; title from PDF title page (EBSCO, viewed Feburary 5, 2019).

Includes bibliographical references and index.

Intro; Uncertainty in Mechanical Engineering III; Preface; Table of Contents; 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 ProcessCloudbased 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 LoadChapter 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 ResearchChapter 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 MethodsChapter 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

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