Next Article in Journal
Investigation on the Role of Drying Air Humidity and Process Parameters in Shaping the Conditions of Spray Drying Using Model Feed Materials
Previous Article in Journal
Influence of Steel Oxidation on the Behavior of the Wheel–Rail Electrical Contact in Dynamic Conditions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Supersonic Pulse-Jet System for Filter Regeneration: Molecular Tagging Velocimetry Study and Computational Fluid Dynamics Validation

1
Dominion Engineering, 12100 Sunrise Valley Dr., Suite 220, Reston, VA 20191, USA
2
Department of Mechanical and Aerospace Engineering, The George Washington University, 800 22nd Street NW, Washington, DC 20052, USA
3
Department of Nuclear Engineering and Radiological Sciences, University of Michigan, 2355 Bonisteel Blvd., Ann Arbor, MI 48109, USA
*
Author to whom correspondence should be addressed.
Current address: Metroscope Inc., 201 N Union St Suite 110, Alexandria, VA 22314, USA.
Current address: MPR Associates, 320 King St, Alexandria, VA 22314, USA.
Appl. Sci. 2025, 15(10), 5764; https://doi.org/10.3390/app15105764
Submission received: 10 April 2025 / Revised: 7 May 2025 / Accepted: 16 May 2025 / Published: 21 May 2025
(This article belongs to the Section Fluid Science and Technology)

Featured Application

The validated CFD model and accompanying experimental insights presented in this study are directly applicable to the design and optimization of pulse-jet cleaning systems used in industrial gas filtration. By providing high-resolution velocity and shock structure data, this work supports improved modeling accuracy, which can lead to enhanced cleaning efficiency, reduced energy consumption, and extended filter life in industrial applications.

Abstract

This paper provides shadowgraphy and molecular tagging velocimetry (MTV) acquisition results and validates a computational fluid dynamics (CFDs) simulation for an underexpanded supersonic gas jet in a plenum pointed toward a wall with an aligned converging pipe outlet. Flow configurations of this type are encountered in pulse-jet systems for online industrial gas filter regeneration. Although previous CFD validation efforts for pulse-jet systems have relied on static pressure measurements, this work expands the validation data using high-resolution flow visualization and velocimetry techniques. Simulations were performed with an axisymmetric two-dimensional Reynolds-averaged Navier-Stokes model and are in close agreement with the shadowgraphy and MTV data, including the description of Mach disks, barrel shocks, and reflected shocks in the underexpanded jet. The CFD model was finally applied to study the role of the converging tube downstream of the jet.
Keywords: pulse jet; shadowgraphy; molecular tagging velocimetry; CFD; filter; Venturi pulse jet; shadowgraphy; molecular tagging velocimetry; CFD; filter; Venturi

Share and Cite

MDPI and ACS Style

Lenci, G.; Fort, C.; André, M.A.; Petrov, V.; Jones, R.E.; Marks, C.R.; Bardet, P.M. Supersonic Pulse-Jet System for Filter Regeneration: Molecular Tagging Velocimetry Study and Computational Fluid Dynamics Validation. Appl. Sci. 2025, 15, 5764. https://doi.org/10.3390/app15105764

AMA Style

Lenci G, Fort C, André MA, Petrov V, Jones RE, Marks CR, Bardet PM. Supersonic Pulse-Jet System for Filter Regeneration: Molecular Tagging Velocimetry Study and Computational Fluid Dynamics Validation. Applied Sciences. 2025; 15(10):5764. https://doi.org/10.3390/app15105764

Chicago/Turabian Style

Lenci, Giancarlo, Charles Fort, Matthieu A. André, Victor Petrov, Ryan E. Jones, Chuck R. Marks, and Philippe M. Bardet. 2025. "Supersonic Pulse-Jet System for Filter Regeneration: Molecular Tagging Velocimetry Study and Computational Fluid Dynamics Validation" Applied Sciences 15, no. 10: 5764. https://doi.org/10.3390/app15105764

APA Style

Lenci, G., Fort, C., André, M. A., Petrov, V., Jones, R. E., Marks, C. R., & Bardet, P. M. (2025). Supersonic Pulse-Jet System for Filter Regeneration: Molecular Tagging Velocimetry Study and Computational Fluid Dynamics Validation. Applied Sciences, 15(10), 5764. https://doi.org/10.3390/app15105764

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop