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

Daniel Nsikane, Konstantina Vogiatzaki, Robert Morgan

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review


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
Publication statusPublished - 1 Dec 2018
EventFuel Systems: Engines - Etc Venues, St Paul's, London, United Kingdom
Duration: 4 Dec 20185 Dec 2018


ConferenceFuel Systems
Country/TerritoryUnited Kingdom
Internet address


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