journal article·2025-05-30Open access

Analysis of Vorticity and Velocity Fields of Jets from Gas Injector Using PIV

Giovanni Cecere, Mats Andersson, Simona Silvia Merola, Adrian Irimescu, Bianca Maria Vaglieco

Applied Sciences· Volume 15· Issue 11

Abstract

The present article offers a detailed analysis of helium jet velocity and vorticity intensity distribution using the particle image velocimetry (PIV) technique. A gaseous fuel injector featuring an interchangeable tip was implemented. The test campaign involved the use of three nozzle patterns characterized by different orifices shape and orientations. The helium was injected into a constant volume chamber (CVC) and the delivery pressure varied, as well as that inside the chamber, in order to obtain pressure ratios (PRs) ranging from 2 to 20. The synchronization system was set to record two consecutive frames at different time-instants after the start of energizing (aSOE). Green light from a dual cavity Nd:YAG laser was used for illumination and a 4-megapixel PIV-camera for image capture. Vegetable oil particles were seeded into the chamber to trace the helium jet structure and cross-correlation methodology employed to measure their instantaneous displacements. The role of orifices size and orientations has been deeply scrutinized and related to the morphological outcomes. The least-oriented nozzle (first) exhibited the highest values of jet penetration and well-defined vortex structures. In contrast, the more the orifices are oriented, the wider the regions interacting with surrounding environment. Specifically, geometry with smaller orifice sizes (third) returned an overall absence of localized significant vortex structures. This deficiency is counterbalanced by a large distribution of small vortices that were observed to replace the main rings for each condition examined.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Combustion and flame dynamics · Advanced Combustion Engine Technologies · Heat transfer and supercritical fluids

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

CNR–STEMS Science and Technology Institute for Sustainable Energy and Mobility, 80125 Napoli, Italy

Department of Mechanics and Maritime Sciences, Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden

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