Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Korsunovs, Aleksandrs"'
Autor:
Korsunovs, Aleksandrs, Doikin, Aleksandr, Campean, Felician, Kabir, Sohag, Hernandez, E.M., Taggart, D., Parker, S., Mills, G.
Yes
The process of generating FMEA following document-centric approach is tedious and susceptible to human error. This paper presents preliminary methodology for robotic manufacturing process modelling in MBSE environment with a scope of automat
The process of generating FMEA following document-centric approach is tedious and susceptible to human error. This paper presents preliminary methodology for robotic manufacturing process modelling in MBSE environment with a scope of automat
Externí odkaz:
http://hdl.handle.net/10454/19002
Yes
Prediction of engine-out emissions with high fidelity from in-cylinder combustion simulations is still a significant challenge early in the engine development process. This paper contributes to this fast evolving body of knowledge by focusin
Prediction of engine-out emissions with high fidelity from in-cylinder combustion simulations is still a significant challenge early in the engine development process. This paper contributes to this fast evolving body of knowledge by focusin
Externí odkaz:
http://hdl.handle.net/10454/16918
Yes
This paper introduces a hybrid dynamic modelling approach for the prediction of NOx emissions for a Diesel engine, based on a multi-physics simulation platform coupling a 1-D air path model (GT-Suite) with in-cylinder combustion model (CMCL
This paper introduces a hybrid dynamic modelling approach for the prediction of NOx emissions for a Diesel engine, based on a multi-physics simulation platform coupling a 1-D air path model (GT-Suite) with in-cylinder combustion model (CMCL
Externí odkaz:
http://hdl.handle.net/10454/18376
Autor:
Korsunovs, Aleksandrs
The full text will be available at the end of the embargo period: 4th Aug 2025
Externí odkaz:
http://hdl.handle.net/10454/19084
Publikováno v:
Algorithms; Sep2023, Vol. 16 Issue 9, p412, 18p
Publikováno v:
International Journal of Engine Research (Sage Publications, Ltd.); Feb2023, Vol. 24 Issue 2, p672-687, 16p
Akademický článek
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