Towards in-cylinder chemical species tomography on large-bore IC engines with pre-chamber
Tsekenis, Stylianos and Wilson, David and Lengden, Michael and Hyvonen, Jari and Leinonen, Jukka and Shah, Ashish and Andersson, Oivind and McCann, Hugh (2016) Towards in-cylinder chemical species tomography on large-bore IC engines with pre-chamber. Flow Measurement and Instrumentation. ISSN 1873-6998 (https://doi.org/10.1016/j.flowmeasinst.2016.04.006)
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Abstract
A feasibility study is presented and the achieved key design milestones towards the first application of Chemical Species Tomography by Near-IR Absorption Tomography on a heavy duty, large-bore marine engine to visualise relative mixture strength are described. The engine is equipped with pre-chamber ignition and operates using Liquefied Natural Gas with > 88.9 % methane content. Operation of the engine under maximum-load conditions is a key design requirement, with peak cylinder pressure and mean temperature exceeding 127,510 Torr (170 bar) and 850 K respectively. The near-IR spectroscopic behaviour of methane is examined for suitable absorption and reference regions for the above application. In particular, the spectroscopic absorption around the 2ν3 transition region near 1,666 nm is approximated by simulation using data from the HITRAN database under worst-case conditions. The simulation results are compared with methane spectra experimentally acquired at high temperature and ambient pressure. Interference from other chemical species as well as measurement linearity is also investigated. A 31-laser beam tomographic imaging array is proposed, which has been optimised to achieve higher spatial resolution performance in the vicinity of the pre-chamber’s orifices. To enable optical access, a novel, minimally-intrusive method is presented, utilising standard fibreoptics and collimators
ORCID iDs
Tsekenis, Stylianos, Wilson, David ORCID: https://orcid.org/0000-0001-6096-6243, Lengden, Michael, Hyvonen, Jari, Leinonen, Jukka, Shah, Ashish, Andersson, Oivind and McCann, Hugh;-
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Item type: Article ID code: 56208 Dates: DateEvent4 April 2016Published4 April 2016Published Online3 April 2016AcceptedSubjects: Science > Chemistry Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 21 Apr 2016 12:43 Last modified: 16 Sep 2024 03:54 URI: https://strathprints.strath.ac.uk/id/eprint/56208