Predictive Engine Simulations based on a novel DoE/RANS approach with coefficient tabulation

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Producing reliable in-cylinder simulations for quick turnaround engine development for industrial purposes is a challenging task. With the ongoing paradigm shift towards digital engineering, industry is forced to adjust its development and manufacturing processes away from prototyping and reliance on test bed results towards a virtual environment where optimization occurs before the actual hardware is available. In this work, an approach is presented, which can overcome one of the main disadvantages of RANS: the model coefficient tuning dependency. Using a Design of Experiments approach, it is shown that input parameters can be linked to ambient boundary conditions and therefore tabulated to eliminate lengthy tuning iterations between operating conditions.
Original languageEnglish
Title of host publicationIMechE, Fuel Systems-Engines
PublisherIMechE
Publication statusPublished - 1 Dec 2018
EventFuel Systems: Engines - Etc Venues, St Paul's, London, United Kingdom
Duration: 4 Dec 20185 Dec 2018
https://events.imeche.org/ViewEvent?code=CON6597

Conference

ConferenceFuel Systems
CountryUnited Kingdom
CityLondon
Period4/12/185/12/18
Internet address

Fingerprint

Tuning
Engines
Engine cylinders
Design of experiments
Virtual reality
Boundary conditions
Hardware
Industry

Cite this

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title = "Predictive Engine Simulations based on a novel DoE/RANS approach with coefficient tabulation",
abstract = "Producing reliable in-cylinder simulations for quick turnaround engine development for industrial purposes is a challenging task. With the ongoing paradigm shift towards digital engineering, industry is forced to adjust its development and manufacturing processes away from prototyping and reliance on test bed results towards a virtual environment where optimization occurs before the actual hardware is available. In this work, an approach is presented, which can overcome one of the main disadvantages of RANS: the model coefficient tuning dependency. Using a Design of Experiments approach, it is shown that input parameters can be linked to ambient boundary conditions and therefore tabulated to eliminate lengthy tuning iterations between operating conditions.",
author = "Daniel Nsikane and Konstantina Vogiatzaki and Robert Morgan",
year = "2018",
month = "12",
day = "1",
language = "English",
booktitle = "IMechE, Fuel Systems-Engines",
publisher = "IMechE",

}

Nsikane, D, Vogiatzaki, K & Morgan, R 2018, Predictive Engine Simulations based on a novel DoE/RANS approach with coefficient tabulation. in IMechE, Fuel Systems-Engines., 0119, IMechE, Fuel Systems, London, United Kingdom, 4/12/18.

Predictive Engine Simulations based on a novel DoE/RANS approach with coefficient tabulation. / Nsikane, Daniel; Vogiatzaki, Konstantina; Morgan, Robert.

IMechE, Fuel Systems-Engines. IMechE, 2018. 0119.

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

TY - GEN

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AU - Vogiatzaki, Konstantina

AU - Morgan, Robert

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N2 - Producing reliable in-cylinder simulations for quick turnaround engine development for industrial purposes is a challenging task. With the ongoing paradigm shift towards digital engineering, industry is forced to adjust its development and manufacturing processes away from prototyping and reliance on test bed results towards a virtual environment where optimization occurs before the actual hardware is available. In this work, an approach is presented, which can overcome one of the main disadvantages of RANS: the model coefficient tuning dependency. Using a Design of Experiments approach, it is shown that input parameters can be linked to ambient boundary conditions and therefore tabulated to eliminate lengthy tuning iterations between operating conditions.

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M3 - Conference contribution with ISSN or ISBN

BT - IMechE, Fuel Systems-Engines

PB - IMechE

ER -