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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/36486

Title: Linear stochastic estimation of the coherent structures in I.C. engines flow
Authors: Butcher, Daniel S.A.
Spencer, Adrian
Keywords: Linear stochastic estimation
In-cylinder flow
Cyclic variation
Velocity estimation
I.C. engine sensors
Coherent structures
Issue Date: 2019
Publisher: SAGE Publications © The Author
Citation: BUTCHER, D.S.A. and SPENCER, A., 2019. Linear stochastic estimation of the coherent structures in I.C. engines flow. International Journal of Engine Research, [in press].
Abstract: A methodology for estimating the in-cylinder flow of an IC engine from a number of point velocity measurements (sensors) is presented. Particle image velocimetry (PIV) is used to provide reference velocity fields for the linear stochastic estimation (LSE) technique to investigate the number of point measurements required to provide a representative estimation of the flow field. A systematic iterative approach is taken, with sensor locations randomly generated in each iteration to negate sensor location effects. It was found that an overall velocity distribution accuracy of at least 75% may be achieved with 7 sensors and 95% with 35 sensors, with the potential for fewer if sensor locations are optimised. The accuracy of vortex centre location predictions are typically within 2-3 mm - suggesting that the presented technique could characterise individual cycle flow fields by indicating vortex locations, swirl magnitude or tumble for example. With this information on the current cycle a control system may be enabled to activate in-cycle adjustment of injection and/or ignition timing for example to minimise emissions.
Description: This paper is closed access until it is published.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/36486
Publisher Link: https://journals.sagepub.com/home/jer
ISSN: 1468-0874
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

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