Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Luca Sani"'
Autor:
Claudia Simonelli, Luca Sani, Nicolò Gori, Miguel Fernández-Muñoz, Antonino Musolino, Rocco Rizzo
Publikováno v:
Actuators, Vol 12, Iss 10, p 375 (2023)
In this paper, the experimental validation of an innovative clutch based on magnetorheological fluids (MRFs) excited by permanent magnets is described. The device, used in automotive applications to engage and disengage the vacuum pump, is tested usi
Externí odkaz:
https://doaj.org/article/23ce12d3bc5e40a1849badceaf89bbc7
Autor:
Nicolò Gori, Claudia Simonelli, Antonino Musolino, Rocco Rizzo, Efren Díez Jiménez, Luca Sani
Publikováno v:
Actuators, Vol 12, Iss 7, p 291 (2023)
This paper reports the design and optimization of a permanent magnet-based spring. The aim of the optimization, performed using a particular form of the self-organizing map (SOM) algorithm, was to determine the dimensions of a ring PM-based spring wi
Externí odkaz:
https://doaj.org/article/c0191d5670e04c87b114857fd80c8004
Publikováno v:
Energies, Vol 13, Iss 18, p 4725 (2020)
Tramway systems are more and more diffused today, to reduce pollution and greenhouse emissions. However, their electrical feeding substations can have significant margin for improvement. Therefore, it is questionable which kind of changes can be intr
Externí odkaz:
https://doaj.org/article/a0b225cc8a8e4f06b916f7f7918fcc48
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5903 (2020)
Multiphysics problems represent an open issue in numerical modeling. Electromagnetic launchers represent typical examples that require a strongly coupled magnetoquasistatic and mechanical approach. This is mainly due to the high velocities which make
Externí odkaz:
https://doaj.org/article/89890b08ed0242cb8a896a41572b709e
Publikováno v:
IEEE Transactions on Magnetics. 59:1-4
Autor:
Fengyuan Yu, Hao Chen, Wenju Yan, Vitor Fernao Pires, Joao F. A. Martins, Pavol Rafajdus, Antonino Musolino, Luca Sani, Miguel Pablo Aguirre, Muhammad Asghar Saqib, Mohamed Orabi, Xiaodong Li
Publikováno v:
IEEE Transactions on Transportation Electrification. 8:4348-4364
Publikováno v:
2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC).
Publikováno v:
IEEE Transactions on Magnetics. 56:1-4
The computational cost of topology optimization based on the binary particle swarm optimization is greatly reduced by the use of deep neural networks (DNNs). A first convolutional neural network (CNN) is trained with data coming from finite-element a
Autor:
Sami Barmada, Valentina Consolo, Antonino Musolino, Rocco Rizzo, Luca Sani, Claudia Simonelli, Francesco Schettini
Publikováno v:
2022 23rd International Conference on the Computation of Electromagnetic Fields (COMPUMAG).
Publikováno v:
Journal of Physics: Conference Series. 2385:012070
Increasing energy efficiency requirements mandatory ask for optimizing energy utilization in many devices, which include internal combustion engines. One of the most investigated subjects is the energy recovery from the exhaust, such as turbo-compoun