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Now showing items 31-40 of 103
Numerical-experimental analysis of highly crowned spherical gear couplings working at high misalignment angles
(Elsevier, 2023)
Spherical gear couplings are characterized by their high capacity to transfer power between rotating shafts in highly misaligned conditions. They are usually small because of space restrictions and require a high amount ...
Effect of the crucible composition on the Inconel 718 vacuum induction melting process efficiency
(Elsevier, 2023)
Nickel-based superalloys are widely employed to manufacture aero-engine turbines due to their high mechanical strength and resistance to corrosion and creep. Vacuum Induction Melting (VIM) is a suitable manufacturing ...
Modelling the Non-linear fibre and matrix dominated compressive behaviour in unidirectional Fibre-reinforced composites
(Elsevier, 2023)
The mechanical behaviour of unidirectional fibre-reinforced composites is typically assumed to be linear elastic before failure. However, these materials exhibit nonlinear responses while being loaded in the matrix and ...
Effects of Different Si Content and Thermal Stories on the Secondary Phase Formation, Hot Ductility, and Stress Rupture Properties of Alloy 718 Investment Castings
(Springer, 2023)
Herein, the effects of microstructure on high-temperature properties (hot ductility and stress rupture life) were investigated in alloy 718 investment castings manufactured with different Si contents (0.051, 0.11, and 0.17 ...
Functional hub disruption emphasizes consciousness recovery in severe traumatic brain injury
(Oxford Academic, 2023)
Severe traumatic brain injury can lead to transient or even chronic disorder of consciousness. To increase diagnosis and prognosis accuracy of disorder of consciousness, functional neuroimaging is recommended 1 month ...
Number-phase uncertainty relations and bipartite entanglement detection in spin ensembles
(Quantum, 2023)
We present a method to detect bipartite entanglement based on number-phase-like uncertainty relations in split spin ensembles. First, we derive an uncertainty relation that plays the role of a number-phase uncertainty for ...
Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
(Elsevier, 2023)
In the transition towards more sustainable ships, electric motors (EM) are being used in ship propulsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and ...
Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process
(Elsevier, 2023)
Chatter is a harmful self-excited vibration that commonly occurs during milling processes. Data-driven chatter detection and prediction is critical to achieve high surface quality and process efficiency. Most existing ...
Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders
(MDPI, 2023)
Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes. To address ...
An Improved Explicit Reference Modeling Methodology for Parametric Design
(Elsevier, 2023)
The use of formal methodologies for parametric modeling has been shown to significantly improve the robustness and reusability of feature-based CAD models, particularly in response to changes, which has implications in the ...