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|a TA174
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|a Pelz, Peter F.
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|a Mastering Uncertainty in Mechanical Engineering.
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|a 1st ed.
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|a Cham :
|b Springer International Publishing AG,
|c 2021.
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|c Ã2021.
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| 300 |
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|a 1 online resource (483 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Springer Tracts in Mechanical Engineering Series
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|a 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 Uncertainty -- 2.2.1 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 Uncertainty -- 3.6.1 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 Conflicts -- 4.2.1 Dealing with Data-Induced Conflicts in Technical Systems -- 4.2.2 Data-Induced Conflicts for Wear Detection in Hydraulic Systems.
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|a 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 Tests -- 4.3.5 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 -- References -- 5 Methods and Technologies for Mastering Uncertainty -- 5.1 Technical and Legal Requirements for Mastering Uncertainty -- 5.1.1 `Just Good Enough' Versus `as Good as It Gets': Negotiating Specifications in a Conflict of Interest of the Stakeholders -- 5.1.2 Technical Specification -- 5.1.3 Product Safety Requirements for Innovative Products -- 5.1.4 Legal Uncertainty and Autonomous Manufacturing Processes -- 5.1.5 Optimisation Methods and Legal Obligations -- 5.1.6 Linguistic Analysis of Technical Standards to Identify Uncertain Language Use -- 5.1.7 From Risk to Uncertainty-New Logics of Project Management -- 5.2 Product Design Under Uncertainty -- 5.2.1 The Method of Uncertainty Analysis and Evaluation: UMEA -- 5.2.2 Mastering Uncertainty in Product Development.
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|a 5.2.3 Methodical Uncertainty Consideration in Technical Process Modelling -- 5.2.4 Conflicting Objectives in the Determination of Process and Component Control -- 5.2.5 Estimation of Surrogate Models -- 5.2.6 Density and Quantile Estimation in Simulation Models -- 5.2.7 Mastering Uncertainty in Customer-Integrated Change Management -- 5.3 Mastering Propagated Uncertainty in Process Chains -- 5.3.1 Uncertainty Propagation in a Forming and Machining Process Chain -- 5.3.2 Closed-Loop Control of Product Stiffness and Geometry -- 5.3.3 Controlled Partial Post-compaction of Sintered Bevel Gears -- 5.3.4 Forming Integration of Functional Materials in Load-Bearing Structures and Machine Elements -- 5.3.5 Process Controlling During the Production of Smart Structures -- 5.3.6 Process-Integrated Calibration of Smart Structures -- 5.4 Semi-active and Active Process Manipulation -- 5.4.1 Control of Press Stiffness -- 5.4.2 State Control of Combined Roller and Plain Bearings -- 5.4.3 Development of a Sensor-Integrated Compensation Chuck for Semi-active Control of the Tapping Process -- 5.4.4 Shock Absorber with Integrated Hydraulic Vibration Absorber to Improve Driving Dynamics -- 5.4.5 Active Air Spring for Vibration Reduction in Vehicle Chassis -- 5.4.6 Vibration Attenuation in Beam Truss Structures Via (Semi-)active Piezoelectric Shunt-Damping -- 5.4.7 Active Buckling Control of Compressively Loaded Beam-Columns and Trusses -- 5.4.8 Load Redistribution Via Semi-active Guidance Elements in a Kinematic Structure -- References -- 6 Strategies for Mastering Uncertainty -- 6.1 Robustness -- 6.1.1 Robust Topology Optimisation of Truss Structures -- 6.1.2 Optimal Actuator Design and Placement -- 6.1.3 Mathematical Optimisation in Robust Product Design -- 6.1.4 Quantified Programs -- 6.1.5 Mastering of Disturbing Influences in Early Phases of Product Development.
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|a 6.1.6 Uncertainty-Based Product Design in Robust Design -- 6.1.7 Non-linear Robust Closed-Loop Control of Presses with Geometric Singularities -- 6.1.8 Mastering Uncertainty in Tapping and Reaming by Robust Tools and Processes -- 6.2 Flexibility -- 6.2.1 Total Flexibility in Forming Technology -- 6.3 Resilience of Technical Systems -- 6.3.1 Resilience as a Concept to Master Uncertainty -- 6.3.2 Mastering Uncertainty in Engineering Design by Adaptive Resilience -- 6.3.3 Human Factors in Resilient Socio-Technical Systems -- 6.3.4 Truss Topology Optimisation Under Aspects of Resilience -- 6.3.5 Optimal Design of Resilient Systems on the Example of Water Supply Systems -- 6.3.6 Application of Resilience Metrics to the Fluid Dynamic Vibration Absorber in Drop Tests -- 6.3.7 Concept of a Resilient Process Chain to Control Uncertainty of a Hydraulic Actuator -- 6.3.8 Experimental Evaluation of Resilience Metrics in a Fluid System -- References -- 7 Outlook -- 7.1 Towards the Complete Picture -- 7.2 Future of Mastering Uncertainty -- 7.2.1 Robustness -- 7.2.2 Flexibility -- 7.2.3 Resilience -- 7.3 Final Remarks -- References -- 8 Correction to: Mastering Uncertainty in Mechanical Engineering -- Correction to: P. Pelz et al. (eds.), Mastering Uncertainty in Mechanical Engineering, Springer Tracts in Mechanical Engineering, https://doi.org/10.1007/978-3-030-78354-9 -- Appendix Glossary.
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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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|a Electronic books.
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|a Groche, Peter.
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| 700 |
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|a Pfetsch, Marc E.
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| 700 |
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|a Schaeffner, Maximilian.
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|i Print version:
|a Pelz, Peter F.
|t Mastering Uncertainty in Mechanical Engineering
|d Cham : Springer International Publishing AG,c2021
|z 9783030783532
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| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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|a Springer Tracts in Mechanical Engineering Series
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| 856 |
4 |
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=6749219
|z Click to View
|
