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Sebastian Mosbach

Researcher at University of Cambridge

Publications -  113
Citations -  2765

Sebastian Mosbach is an academic researcher from University of Cambridge. The author has contributed to research in topics: Combustion & Ignition system. The author has an hindex of 27, co-authored 102 publications receiving 2164 citations. Previous affiliations of Sebastian Mosbach include Nanyang Technological University.

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Towards a detailed soot model for internal combustion engines

TL;DR: In this paper, a detailed model for the formation of soot in internal combustion engines describing not only bulk quantities such as soot mass, number density, volume fraction, and surface area but also the morphology and chemical composition of aggregates is presented.
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Applying Industry 4.0 to the Jurong Island Eco-industrial Park

TL;DR: The proposed work addresses end-user driven demands by harnessing HPC resources and advanced data analytics to enable intelligent design, operation, and management of all entities on Jurong Island.
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The carbon footprint and non-renewable energy demand of algae-derived biodiesel

TL;DR: In this article, the environmental impact of different biodiesel production strategies from algae feedstock in terms of greenhouse gas (GHG) emissions and non-renewable energy consumption was determined.
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A fully coupled simulation of PAH and soot growth with a population balance model

TL;DR: In this article, a detailed soot population balance model is presented, in which soot nanoparticles are described by aggregates of primary particles composed of individual PAH molecules, and the sintering process is implemented in a soot model which is used to simulate a variety of premixed laminar flames.
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Modelling soot formation from wall films in a gasoline direct injection engine using a detailed population balance model

TL;DR: In this paper, a Gasoline Direct Injection (GDI) engine is simulated using a Stochastic Reactor Model (SRM Engine Suite) which contains a detailed population balance soot model capable of describing particle morphology and chemical composition.