Mastering Uncertainty in Mechanical Engineering

1. Front Matter

   Pages i-xii

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2. Introduction

   • Peter F. Pelz

   Pages 1-24Open Access

3. Types of Uncertainty

   • Peter F. Pelz, Marc E. Pfetsch, Sebastian Kersting, Michael Kohler, Alexander Matei, Tobias Melz et al.

   Pages 25-42Open Access

4. Our Specific Approach on Mastering Uncertainty

   • Peter F. Pelz, Robert Feldmann, Christopher M. Gehb, Peter Groche, Florian Hoppe, Maximilian Knoll et al.

   Pages 43-111Open Access

5. Analysis, Quantification and Evaluation of Uncertainty

   • Maximilian Schaeffner, Eberhard Abele, Reiner Anderl, Christian Bölling, Johannes Brötz, Ingo Dietrich et al.

   Pages 113-207Open Access

6. Methods and Technologies for Mastering Uncertainty

   • Peter Groche, Eberhard Abele, Nassr Al-Baradoni, Sabine Bartsch, Christian Bölling, Nicolas Brötz et al.

   Pages 209-364Open Access

7. Strategies for Mastering Uncertainty

   • Marc E. Pfetsch, Eberhard Abele, Lena C. Altherr, Christian Bölling, Nicolas Brötz, Ingo Dietrich et al.

   Pages 365-456Open Access

8. Outlook

   • Peter F. Pelz, Peter Groche, Marc E. Pfetsch, Maximilian Schaeffner

   Pages 457-464Open Access

9. Correction to: Mastering Uncertainty in Mechanical Engineering

   • Peter F. Pelz, Peter Groche, Marc E. Pfetsch, Maximilian Schaeffner

   Pages C1-C1Open Access

10. Back Matter

    Pages 465-471

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This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research.  Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.

• Stochastic Data Uncertainty
• Model Uncertainty
• Structural Uncertainty
• Robust Optimization Under Uncertainty
• Adaptive Technical Systems
• Optimal Design of Technical Systems
• Resilient Technical Systems
• Robust Design
• Product Design Under Uncertainty
• Visualization of Uncertainty
• Sonderforschungsbereich (SFB) 805
• Fluid Dynamic Vibration Absorber
• 3D Servo Press
• Active Air Spring
• Active/Semi-Active Systems
• Increasing Flexibility in Manufacturing
• Open Access Book

• Department of Mechanical Engineering, Technische Universität Darmstadt, Darmstadt, Germany

  Peter F. Pelz, Peter Groche, Maximilian Schaeffner

• Department of Mathematics, Technische Universität Darmstadt, Darmstadt, Germany

  Marc E. Pfetsch