9783030772567.pdf

This open access book reports on methods and technologies to describe, evaluate and control uncertainty in mechanical engineering applications. It brings together contributions by engineers, mathematicians and legal experts, offering a multidisciplinary perspective on the main issues affecting uncer...

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Γλώσσα:English
Έκδοση: Springer Nature 2021
Διαθέσιμο Online:https://www.springer.com/9783658338558
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spelling oapen-20.500.12657-495272021-06-15T07:20:57Z Uncertainty in Mechanical Engineering Pelz, Peter F. Groche, Peter Engineering Design Complex Systems Complexity Manufacturing, Machines, Tools, Processes Applied Dynamical Systems Machines, Tools, Processes Open Access Book Mastering Uncertainty by Digitalization Uncertainty in Manufacturing and Production Resilient Technical Systems Uncertainty Quantification Optimization Under Uncertainty Model Uncertainty Computer-Aided Design (CAD) Uncertain Operating Conditions Topology Optimization for Additive Manufacturing Predicting Vibroacoustic Behavior Uncertainty in Finite Element Models Imprecision in Data/Models Legal Uncertainty of Autonomous Systems Resilient Water Supply Systems Designing Technical Systems Collaborative Research Centre 805 SFB 805 Technical design Statistical physics Dynamics & statics Cybernetics & systems theory Production engineering bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBD Technical design bic Book Industry Communication::P Mathematics & science::PH Physics::PHS Statistical physics bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general::GPF Information theory::GPFC Cybernetics & systems theory bic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials::TGP Production engineering This open access book reports on methods and technologies to describe, evaluate and control uncertainty in mechanical engineering applications. It brings together contributions by engineers, mathematicians and legal experts, offering a multidisciplinary perspective on the main issues affecting uncertainty throughout the complete system lifetime, which includes process and product planning, development, production and usage. The book is based on the proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), organized by the Collaborative Research Center (CRC) 805 of the TU Darmstadt, and held online on June 7–8, 2021. All in all, it offers a timely resource for researchers, graduate students and practitioners in the field of mechanical engineering, production engineering and engineering optimization. 2021-06-14T09:30:15Z 2021-06-14T09:30:15Z 2021 book ONIX_20210614_9783030772567_27 9783030772567 https://library.oapen.org/handle/20.500.12657/49527 eng Lecture Notes in Mechanical Engineering application/pdf Attribution 4.0 International 9783030772567.pdf https://www.springer.com/9783658338558 Springer Nature Springer 10.1007/978-3-030-77256-7 10.1007/978-3-030-77256-7 6c6992af-b843-4f46-859c-f6e9998e40d5 9783030772567 Springer 308 open access
institution OAPEN
collection DSpace
language English
description This open access book reports on methods and technologies to describe, evaluate and control uncertainty in mechanical engineering applications. It brings together contributions by engineers, mathematicians and legal experts, offering a multidisciplinary perspective on the main issues affecting uncertainty throughout the complete system lifetime, which includes process and product planning, development, production and usage. The book is based on the proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), organized by the Collaborative Research Center (CRC) 805 of the TU Darmstadt, and held online on June 7–8, 2021. All in all, it offers a timely resource for researchers, graduate students and practitioners in the field of mechanical engineering, production engineering and engineering optimization.
title 9783030772567.pdf
spellingShingle 9783030772567.pdf
title_short 9783030772567.pdf
title_full 9783030772567.pdf
title_fullStr 9783030772567.pdf
title_full_unstemmed 9783030772567.pdf
title_sort 9783030772567.pdf
publisher Springer Nature
publishDate 2021
url https://www.springer.com/9783658338558
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