Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Michele Battistoni"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 55, Iss , Pp 104072- (2024)
In this study, the effect of start of injection (SOI) timing is investigated on a single cylinder spark ignited (SI) internal combustion engine (ICE) fueled with hydrogen, using Computational Fluid Dynamics (CFD) simulations. Mixing fields and combus
Externí odkaz:
https://doaj.org/article/fcf35681510141a09f10f1fb2ef6c7cc
Analysis of Hydrogen Combustion in a Spark Ignition Research Engine with a Barrier Discharge Igniter
Autor:
Federico Ricci, Jacopo Zembi, Massimiliano Avana, Carlo Nazareno Grimaldi, Michele Battistoni, Stefano Papi
Publikováno v:
Energies, Vol 17, Iss 7, p 1739 (2024)
Hydrogen fuel is gaining particular attention in internal combustion engines. In addition to zero-carbon emissions, major advantages relate to its combustion characteristics, which allow a significant increase in thermal efficiency under ultra-lean o
Externí odkaz:
https://doaj.org/article/b4f51470d7074ba7b79d831b0295167c
Autor:
Federico Ricci, Francesco Mariani, Stefano Papi, Jacopo Zembi, Michele Battistoni, Carlo Nazareno Grimaldi
Publikováno v:
Energies, Vol 17, Iss 7, p 1659 (2024)
Currently, conventional spark–ignition engines face challenges in meeting the ever-growing demands of customers and increasingly stringent regulations regarding pollutant emissions. A combination of innovative strategies and carbon-neutral fuels is
Externí odkaz:
https://doaj.org/article/7c9ca6f31811478496cd723c122f7ea9
Autor:
Nasrin Sahranavardfard, Damien Aubagnac-Karkar, Gabriele Costante, Faniry N. Z. Rahantamialisoa, Chaouki Habchi, Michele Battistoni
Publikováno v:
Fluids, Vol 9, Iss 3, p 56 (2024)
Machine learning based on neural networks facilitates data-driven techniques for handling large amounts of data, either obtained through experiments or simulations at multiple spatio-temporal scales, thereby finding the hidden patterns underlying the
Externí odkaz:
https://doaj.org/article/d361a5143907434e839de4f5babe51ea
Publikováno v:
Case Studies in Thermal Engineering, Vol 49, Iss , Pp 103349- (2023)
This article demonstrates how to create a reliable Computational Fluid Dynamic (CFD) model of a 250 kW Internal Permanent Magnet Synchronous Motor (IPMSM), used in a dynamometer bench for testing electric motors, to address its overheating problems.
Externí odkaz:
https://doaj.org/article/16ca8d4f40934c19ac32e3f970d10223
Autor:
Ivan Arsie, Michele Battistoni, Pier Paolo Brancaleoni, Roberto Cipollone, Enrico Corti, Davide Di Battista, Federico Millo, Alessio Occhicone, Benedetta Peiretti Paradisi, Luciano Rolando, Jacopo Zembi
Publikováno v:
Energies, Vol 17, Iss 1, p 34 (2023)
The H2-ICE project aims at developing, through numerical simulation, a new generation of hybrid powertrains featuring a hydrogen-fueled Internal Combustion Engine (ICE) suitable for 12 m urban buses in order to provide a reliable and cost-effective s
Externí odkaz:
https://doaj.org/article/97f8f87d6aff4604a573a1ba0f020d61
Publikováno v:
Transportation Engineering, Vol 2, Iss , Pp 100034- (2020)
This work presents the development of a cavitation-induced erosion risk assessment (CIERA) tool that links multiphase flow simulation predictions with the progress towards material erosion. To develop a robust erosion modeling tool, the cavitation an
Externí odkaz:
https://doaj.org/article/ec757fe3477641ac8008bce7799d7d27
Autor:
Bittagowdanahalli Manjegowda Ningegowda, Faniry Nadia Zazaravaka Rahantamialisoa, Adrian Pandal, Hrvoje Jasak, Hong Geun Im, Michele Battistoni
Publikováno v:
Energies, Vol 13, Iss 21, p 5676 (2020)
In the present numerical study, implicit large eddy simulations (LES) of non-reacting multi-components mixing processes of cryogenic nitrogen and n-dodecane fuel injections under transcritical and supercritical conditions are carried out, using a mod
Externí odkaz:
https://doaj.org/article/9096ef1039e5442a819c7fe8834f70cd
Publikováno v:
Energies, Vol 13, Iss 18, p 4740 (2020)
The new generation of internal combustion engines is facing various research challenges which often include modern fuels and different operating modes. A robust modeling framework is essential for predicting the dynamic behavior of such complex pheno
Externí odkaz:
https://doaj.org/article/84f1bfba05724729ae1d0c603375d564
Publikováno v:
Energies, Vol 12, Iss 18, p 3409 (2019)
This paper investigates, through computational fluid dynamics (CFD) simulations, the knock resistance improvements that can be obtained in a turbo-charged GDI engine with water injection. In a first step, water and gasoline injector models are valida
Externí odkaz:
https://doaj.org/article/1678575cd2a245899d319fcebfa31663