Thermal-hydraulic-dynamic investigation of an inverted self-fluttering vortex generator. (15th November 2022)
- Record Type:
- Journal Article
- Title:
- Thermal-hydraulic-dynamic investigation of an inverted self-fluttering vortex generator. (15th November 2022)
- Main Title:
- Thermal-hydraulic-dynamic investigation of an inverted self-fluttering vortex generator
- Authors:
- Pham, Robin
Wang, Sheng
Dahlgren, Jack
Grindstaff, Nathaniel
Chen, Chung-Lung - Abstract:
- Highlights: Compare thermal hydraulic efficiencies of flapping vortex generators to traditional ones. Machine-learning-aided analysis uncovers the cross-design vortical power-laws. Localization of flapping agitator thermal performance is captured at certain flow conditions. Saturation and convergence effects of vortex redistribution are observed. 7% higher efficienciy at lower-speed flow is seen compared to static VGs at optimal conditions. Abstract: Static vortex generators initiate vortical structures; an active generator intensifies the vortices through local agitations. Flow-induced vibrations present a hybrid approach to enhance thermal mixing: the role of vortical redistribution. To further our series of study regarding the self-fluttering vortex generator, machine learning was utilized in this work to analyze a large set of experimental data which includes a broader range of design parameters in order to find a general rule of the onset of the large flapping motion and its effect on the overall thermal transport and frictional pressure loss characteristics. In addition, this paper presented the differences in thermal hydraulic efficiencies of a flapping vortex generator to an aggregation of traditional ones of the same configuration. Through machine-learning-aided analysis, we captured a striking behavior of the generator: the power-law regime spanning across different designs, bridging a shorter flow speed range each time. Such findings highlight the localization andHighlights: Compare thermal hydraulic efficiencies of flapping vortex generators to traditional ones. Machine-learning-aided analysis uncovers the cross-design vortical power-laws. Localization of flapping agitator thermal performance is captured at certain flow conditions. Saturation and convergence effects of vortex redistribution are observed. 7% higher efficienciy at lower-speed flow is seen compared to static VGs at optimal conditions. Abstract: Static vortex generators initiate vortical structures; an active generator intensifies the vortices through local agitations. Flow-induced vibrations present a hybrid approach to enhance thermal mixing: the role of vortical redistribution. To further our series of study regarding the self-fluttering vortex generator, machine learning was utilized in this work to analyze a large set of experimental data which includes a broader range of design parameters in order to find a general rule of the onset of the large flapping motion and its effect on the overall thermal transport and frictional pressure loss characteristics. In addition, this paper presented the differences in thermal hydraulic efficiencies of a flapping vortex generator to an aggregation of traditional ones of the same configuration. Through machine-learning-aided analysis, we captured a striking behavior of the generator: the power-law regime spanning across different designs, bridging a shorter flow speed range each time. Such findings highlight the localization and specialization of such setups to certain flow conditions. We observe a saturation effect of the vortical redistribution process and the eventual convergence between pumping power and thermal performance. Among all interactions, we see a propensity toward lower-speed flows: higher efficiencies and better thermal transport– stands out as the characteristic of this flapping vortex generator. … (more)
- Is Part Of:
- International journal of heat and mass transfer. Volume 197(2022)
- Journal:
- International journal of heat and mass transfer
- Issue:
- Volume 197(2022)
- Issue Display:
- Volume 197, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 197
- Issue:
- 2022
- Issue Sort Value:
- 2022-0197-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-11-15
- Subjects:
- Vortex generator -- Flapping -- Inverted agitator -- Thin-film -- Thermal-hydraulic -- Machine learning
Heat -- Transmission -- Periodicals
Mass transfer -- Periodicals
Chaleur -- Transmission -- Périodiques
Transfert de masse -- Périodiques
Electronic journals
621.4022 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00179310 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijheatmasstransfer.2022.123374 ↗
- Languages:
- English
- ISSNs:
- 0017-9310
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23407.xml