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Titlebook: Uncertainty in Mechanical Engineering; Proceedings of the 4 Peter F. Pelz,Peter Groche Conference proceedings‘‘‘‘‘‘‘‘ 2021 The Editor(s) (i

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11#
發(fā)表于 2025-3-23 09:49:21 | 只看該作者
Investigation on Tool Deflection During Tappingdelling the tapping process we choose a mechanistic approach. In the present work, we focus on the tool model, which describes the deflection and inclination of the tool as a result of the radial forces during tapping. Since radial forces always occur during tapping due to the uneven load distributi
12#
發(fā)表于 2025-3-23 14:31:17 | 只看該作者
13#
發(fā)表于 2025-3-23 19:57:40 | 只看該作者
Tuning and Emulation of Mechanical Characteristics – Tunable Mounts and a Mechanical Hardware-in-theossibility of automated parameter variation. This allow testing different scenarios in a very short period of time. Nevertheless, physical experiments in the laboratory or on a test rig are still necessary and will still be necessary in the future. The physical experiments offer benefits e.g. for ve
14#
發(fā)表于 2025-3-23 22:25:14 | 只看該作者
Identifying and Mastering Legal Uncertainty Concerning Autonomous Systemsede the pace of innovation. Legal uncertainty also contributes to this factor. This paper will discuss existing legal uncertainty. The identified uncertainty can stem from different sources. Categorizing these sources will be our first step when trying to master legal uncertainty. On the basis of th
15#
發(fā)表于 2025-3-24 05:25:24 | 只看該作者
Identification of Imprecision in Data Using ,-Contamination Advanced Uncertainty Modeldevelop two methods. These methods identify if there is imprecision in a given model or data. In the first approach, we build two different—a probability distribution and an interval—models for a test function . via given data/model. Then, we identify the level of imprecision by assessing, so-called
16#
發(fā)表于 2025-3-24 09:37:22 | 只看該作者
Forward vs. Bayesian Inference Parameter Calibration: Two Approaches for Non-deterministic Parameterating the model parameters to experimental data is crucial to achieve reliable and adequate model predictions. However, the experimental dynamic behavior is uncertain due to variations in component properties, assembly and mounting. Therefore, uncertainty in the model parameters can be considered in
17#
發(fā)表于 2025-3-24 13:15:13 | 只看該作者
18#
發(fā)表于 2025-3-24 14:55:47 | 只看該作者
19#
發(fā)表于 2025-3-24 20:02:54 | 只看該作者
Potentials and Challenges of Resilience as a Paradigm for Designing Technical?Systemsstems and summarize relevant design approaches to quantify the potentials of this paradigm. Furthermore, we present important challenges we faced while transferring this paradigm and present the lessons learned from this interdisciplinary research.
20#
發(fā)表于 2025-3-25 01:54:14 | 只看該作者
2195-4356 tion and usage.Offers a good balance of fundamental research.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 mul
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