MoS2 nanosheets with expanded interlayer spacing for enhanced sodium storage. - In: Inorganic chemistry frontiers, ISSN 2052-1553, Bd. 5 (2018), 12, S. 3099-3105
Im Titel ist "2" tiefgestellt
https://doi.org/10.1039/C8QI00969D
Aluminum electrode insulation dynamics via interface oxidation by reactant diffusion in organic layers. - In: Physica status solidi, ISSN 1862-6319, Bd. 215 (2018), 23, S. 1800474, insges. 10 S.
https://doi.org/10.1002/pssa.201800474
C60 fullerene prevents restraint stress-induced oxidative disorders in rat tissues: possible involvement of the Nrf2/ARE-antioxidant pathway. - In: Oxidative medicine and cellular longevity, ISSN 1942-0994, (2018), Article ID 2518676, insges. 17 S.
Im Titel ist "60" tiefgestellt
https://doi.org/10.1155/2018/2518676
On modeling the bending stiffness of thin semi-circular flexure hinges for precision applications. - In: Actuators, ISSN 2076-0825, Bd. 7 (2018), 4, 86, S. 1-16
Compliant mechanisms based on flexure hinges are widely used in precision engineering applications. Among those are devices such as precision balances and mass comparators with achievable resolutions and uncertainties in the nano-newton range. The exact knowledge of the mechanical properties of notch hinges and their modeling is essential for the design and the goal-oriented adjustment of these devices. It is shown in this article that many analytical equations available in the literature for calculating the bending stiffness of thin semi-circular flexure hinges cause deviations of up to 12% compared to simulation results based on the three-dimensional finite element model for the considered parameter range. A close examination of the stress state within the loaded hinge reveals possible reasons for this deviation. The article explains this phenomenon in detail and shows the limitations of existing analytical models depending on specific geometric ratios. An accurate determination of the bending stiffness of semi-circular flexure hinges in a wide range of geometric parameters without the need for an elaborate finite element analysis is proposed in form of FEM-based correction factors for analytical equations referring to Euler-Bernoulli's beam theory.
https://doi.org/10.3390/act7040086
Modelling the strip thickness in hot steel rolling mills using least-squares support vector machines. - In: The Canadian journal of chemical engineering, ISSN 1939-019X, Bd. 96 (2018), 1, S. 171-178
The development and implementation of better control strategies to improve the overall performance of a plant is often hampered by the lack of available measurements of key quality variables. One way to resolve this problem is to develop a soft sensor that is capable of providing process information as often as necessary for control. One potential area for implementation is in a hot steel rolling mill, where the final strip thickness is the most important variable to consider. Difficulties with this approach include the fact that the data may not be available when needed or that different conditions (operating points) will produce different process conditions. In this paper, a soft sensor is developed for the hot steel rolling mill process using least-squares support vector machines and a properly designed bias update term. It is shown that the system can handle multiple different operating conditions (different strip thickness setpoints, and input conditions).
https://doi.org/10.1002/cjce.22956
Simultaneous robust, decoupled output feedback control for multivariate industrial systems. - In: IEEE access, ISSN 2169-3536, Bd. 6 (2018), S. 6777-6782
https://doi.org/10.1109/ACCESS.2018.2790803
An incipient fault detection approach via detrending and denoising. - In: Control engineering practice, ISSN 1873-6939, Bd. 74 (2018), S. 1-12
https://doi.org/10.1016/j.conengprac.2018.02.005
Messunsicherheit 2018. - In: Technisches Messen, ISSN 2196-7113, Bd. 85 (2018), 12, S. 713-715
Editorial
https://doi.org/10.1515/teme-2018-0077
Mechanism of twin-reduced III-V epitaxy on As-modified vicinal Si(111). - In: Physical review materials, ISSN 2475-9953, Bd. 2 (2018), 12, S. 124601
https://doi.org/10.1103/PhysRevMaterials.2.124601
Eye state classification from electroencephalography recordings using machine learning algorithms. - In: Digital medicine, ISSN 2226-8561, Bd. 4 (2018), 2, S. 84-95
https://doi.org/10.4103/digm.digm_41_17