Experiment and Simulation Investigation on the Characteristics of Diesel Spray Impingement Based on Droplet Impact Phenomenon

Liu, Yongfeng; Qi, Xiang; Li, Zhijun; Yao, Shengzhuo; Liang, Xingyu; Wang, Fang

doi:10.3390/app8030384

Cited by 8 publications

(8 citation statements)

References 18 publications

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“…where U is the inlet velocity of 25 m/s, dt is the time step, and dx is the minimum grid size of 1.2535 × 10 −4 m. According to equation (14), the initial time step in the transient simulation was calculated as 5 × 10 −6 seconds. Then, since the convergence criterion for the momentum, continuity, turbulence, species equations, and energy equation approached, the time-step size was gradually increased.…”

Section: Transient Simulation and Experiments Results During Steel Prementioning

confidence: 99%

“…Many researchers have investigated the heat transfer characteristics of an impinging flame with a single nozzle through an analysis and numerical simulation method with computational fluid dynamics (CFD), such as Remie et al [11], Sahu et al [12], and Tajik et al [13]. Liu et al [14] and Zhen et al [15,16] studied the effect of the hydrogen concentration on the heat transfer characteristics of a premixed liquefied petroleum gas (LPG) and hydrogen flame. The results showed that the flame temperature and NOx emission increased at high hydrogen concentrations but the CO emission decreased.…”

Section: Introductionmentioning

confidence: 99%

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Improvement of the Steel-Plate Temperature during Preheating by Using Guide Vanes to Focus the Flame at the Outlet of a Gas Torch

Ngo

Zhou

et al. 2019

Energies

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The temperature distribution on a steel plate during a preheating process was comparedusing gas torch models with and without guide vanes. Numerical simulations were done usingANSYS FLUENT software, and experiments were done using thermal images obtained by aTVS-200EX infrared thermal camera. Liquefied petroleum gas (LPG) was used as fuel for the gastorch in the simulation and experiment. The temperature distribution on the steel plate and theflame region were first compared. The temperature increase caused by the flame concentrationwith the guide vanes was 65 C. The transient and steady-state temperature distribution on theback side of the steel plate were then examined. The results showed good agreement between thesimulation and experimental results. At steady state, the back-side temperature deviation of thesteel plate between the numerical simulation and experimental results was approximately 4.9%.The effects of the equivalence ratio (Φ), Reynolds number (Re), and the downstream distance ratioof the combustion gas from the torch outlet to the steel plate (H/d) on the temperature distributionwere also investigated. The highest temperature distribution was found in stoichiometriccombustion. The temperature of the plate increased as the Reynolds number increased from 2368 to4876 but decreased as the distance ratio (H/d) increased from 25 to 75. The guide vane angles at thegas torch outlet were from 30 to 60 degrees, and the angle of 40 degrees resulted in the highesttemperature of the steel plate.

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Section: Transient Simulation and Experiments Results During Steel Prementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improvement of the Steel-Plate Temperature during Preheating by Using Guide Vanes to Focus the Flame at the Outlet of a Gas Torch

Ngo

Zhou

et al. 2019

Energies

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“…u m is the velocity at the mth position, and u a is the mean of all the velocities. The value of γ is between 0 and 1, and γ = 1 indicates a perfectly uniform distribution [21]. Figure 10 shows a comparison of the velocity uniformity index at the outlets between the basic torch and the three new torches as a function of the pressure drop.…”

Section: Comparison Of Pressure Drop and Flow Field Distribution Betwmentioning

confidence: 99%

“…The DO model covers the entire range of optical thickness and can be used to solve problems ranging from surface-to-surface radiation to radiation participating in combustion problems. The default boundary conditions were selected for the DO radiation model in ANSYS FLUENT 18.2 [21]. The absorption coefficient was modeled using the weighted sum of gray gases model (WSGGM).…”

Section: Boundary Conditions For Turbulent Combustionmentioning

confidence: 99%

Enhancement of Exit Flow Uniformity by Modifying the Shape of a Gas Torch to Obtain a Uniform Temperature Distribution on a Steel Plate during Preheating

Ngo

Zhou

et al. 2018

Applied Sciences

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The objective of this study is to improve the exit flow uniformity of a gas torch with multiple exit holes for effective heating of a steel plate. The torch was simulated, and combustion experiments were performed for validation. Based on a basic model, three different revised models were designed and analyzed with the software ANSYS FLUENT 18.2. The flow uniformity (γ) of the velocity distribution at the multiple exit holes was investigated with the pressure drop ranging from 100 to 500 Pa. The basic model had flow uniformity ranging from 0.849 to 0.852, but the three new models had γ1 = 0.901–0.912, γ2 = 0.902–0.911, and γ3 = 0.901–0.914, respectively. The maximum percentage difference of the flow uniformity index between the three new models and the basic model was 7.3%. The basic model with nonuniform flow distribution made a temperature difference of the back side of the steel plate from the center to the edge of around 229 °C, while the modified model with uniform flow distribution had a smaller temperature difference of 90 °C. The simulation results showed good agreement with our experimental results for both the basic model and the modified model. The modified gas torch made a wider and more uniform temperature distribution on a preheated steel plate than the basic one. The results revealed that a trade-off between cost and flow uniformity, as well as the new gas torch, could be applied to a steel-plate preheating process before welding.

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“…In order to reduce the amount of materials used in spray coating and painting [6], the maximum spreading diameter is an parameter of interest. It is also particularly important in other applications, like plasma spraying [7], pharmaceutical industry [8], ink-jet printing [9], metal forming [10,11], and combustion [12,13].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Nanofluid Droplet Impact on an AAO Surface with a Magnetic Field

Chien

Weng

2018

Applied Sciences

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This paper presents an experimental study on the impact of magnetic nanofluid droplets on aluminum sheet surfaces subjected to a magnetic field. A magnetic nanofluid was prepared by synthesizing Fe 3 O 4 nanoparticles and coating amounts of oleic acid surfactant in deionized water. The wettability of an alumina sheet was first changed by using a phosphoric acid (H 3 PO 4) solution to perform the first anodic oxidation process. A contact angle meter and a high-speed camera were then, respectively, used to capture the static contact angle of magnetic nanofluid droplets and their dynamic characteristics during impact on the surface with/without anodic oxidation process. The results of the static contact angle showed that a more hydrophilic surface could be obtained after the sheet was processed. The dynamic images showed that the processed surface exhibited a slightly greater degree of adhesion between the liquid and solid without a magnetic field. The effect of AAO surface topography can be significant under the action of an external magnetic field.

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Experiment and Simulation Investigation on the Characteristics of Diesel Spray Impingement Based on Droplet Impact Phenomenon

Cited by 8 publications

References 18 publications

Improvement of the Steel-Plate Temperature during Preheating by Using Guide Vanes to Focus the Flame at the Outlet of a Gas Torch

Improvement of the Steel-Plate Temperature during Preheating by Using Guide Vanes to Focus the Flame at the Outlet of a Gas Torch

Enhancement of Exit Flow Uniformity by Modifying the Shape of a Gas Torch to Obtain a Uniform Temperature Distribution on a Steel Plate during Preheating

Magnetic Nanofluid Droplet Impact on an AAO Surface with a Magnetic Field

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