Real Jet Research Articles

Jet engine degradation prognostic using artificial neural networks

PurposeThe purpose of this paper is to propose and develop artificially intelligent methodologies to discover degradation trends through the detection of engine’s status. The objective is to predict these trends by studying their effects on the engine measurable parameters.Design/methodology/approachThe method is based on the implementation of an artificial neural network (ANN) trained with well-known cases referred to real conditions, able to recognize degradation because of two main gas turbine engine deterioration effects: erosion and fouling. Three different scenarios are considered: compressor fouling, turbine erosion and presence of both degraded conditions. The work consists of three parts: the first one contains the mathematical model of real jet engine in healthy and degraded conditions, the second step is the optimization of ANN for engine performance prediction and the last part deals with the application of ANN for prediction of engine fault.FindingsThis study shows that the proposed diagnostic approach has good potential to provide valuable estimation of engine status.Practical implicationsKnowledge of the true state of the engine is important to assess its performance capability to meet the operational and maintenance requirements and costs.Originality/valueThe main advantage is that the engine performance data for model validation were obtained from real flight conditions of the engine VIPER 632-43.

Tailoring of a Composite Regional Jet Wing Using the Slice and Swap Method

This paper presents an aeroelastic tailoring procedure used to design wing structures to meet strength, buckling, and flutter requirements simultaneously. The optimization process is divided into a continuous optimization step using lamination parameters, and a discrete optimization step, which produces detailed blended stacking sequences satisfying complex design and manufacturing guidelines. The implementation of the continuous optimization step benefits from recent advances in lamination parameter constraints, allowing for close approximation of realistic directional stiffness requirements. In the final discrete optimization step, a novel and efficient parametrization scheme called the Slice and Swap Method is developed. The scheme provides a design space that is simple to implement, allows for an ample family of blended stacking sequences to be explored, and includes a number of design requirements satisfied by suitable encoding. The efficiency of the aeroelastic tailoring procedure is demonstrated via a sample application to a realistic industry-scale regional jet wing.

3D non-linear MHD simulation of the MHD response and density increase as a result of shattered pellet injection

The MHD response and the penetration of a deuterium shattered pellet into a JET plasma is investigated via the non-linear reduced MHD code JOREK with the neutral gas shielding (NGS) ablation model. The dominant MHD destabilizing mechanism by the injection is identified as the local helical cooling at each rational surface, as opposed to the global current profile contraction. Thus the injected fragments destabilize each rational surface as they pass through them. The injection penetration is found to be much better compared to MGI, with the convective transport caused by core MHD instabilities (e.g. 1/1 kink) contributing significantly to the core penetration. Moreover, the injection with realistic JET SPI system configurations is simulated in order to provide some insights into future operations, and the impact on the total assimilation and penetration depth of varying injection parameters such as the injection velocity or fineness of shattering is assessed. Further, the effect of changing the target equilibrium temperature or q profile on the assimilation and penetration is also investigated. Such analysis will form the basis of further investigation into a desirable configuration for the future SPI system in ITER.

Equilibrium reconstruction at JET using Stokes model for polarimetry

This paper presents the first application to real JET data of the new equilibrium code NICE which enables the consistent resolution of the inverse equilibrium reconstruction problem in the framework of non-linear free-boundary equilibrium coupled to the Stokes model equation for polarimetry. The conducted numerical experiments enable first of all to validate NICE by comparing it to the well-established EFIT code on 4 selected high performance shots. Secondly the results indicate that the fit to polarimetry measurements clearly benefits from the use of Stokes vector measurements compared to the classical case of Faraday measurements, and that the reconstructed and profiles are better constrained with smaller error bars and are closer to the profiles reconstructed by EFTM, the EFIT JET code using internal MSE constraints.

The distillation curve and sooting propensity of a typical jet fuel

Real jet fuels are complex mixtures of many organic components, some of which are aromatic compounds. Towards the high-temperature end of the distillation curve, some of the fuel components are multi-ring compounds. A small amount of these high molecular weight species in the fuel could impact soot nucleation in practical engines especially when the fuel is injected as a spray. This work aims to highlight the variation of the sooting propensity of jet fuels as a function of distillate fractions and to examine the validity of a surrogate fuel in emulating soot production from real fuels. Particle size distribution functions and soot volume fractions are studied in a series of laminar premixed stretch-stabilized ethylene flames doped with Jet A, its various distillate fractions, and the 2nd generation MURI surrogate. Soot formation as a result of doping real jet fuel and its distillate fractions is also investigated in counterflow and coflow diffusion flames. The results show that the higher-boiling distillates mostly influence soot nucleation and produce substantially more soot in nucleation controlled flames than the light molecular fraction and jet fuel as received, while such an effect is seen to be small in flames where soot production is controlled by surface growth. The potential impact of distillate fractions on soot nucleation propensities is discussed.

Numerical Studies of Novel Inwardly Off-Center Shearing Jet-Stirred Reactor

A novel inwardly off-center shearing jet-stirred reactor is proposed and examined computationally. The inwardly off-center shearing jet-stirred reactor is compared with two traditional jet-stirred reactor designs, the outward cross-injector jet-stirred reactor and the concentric inward and outward jet-stirred reactor. The results show that the present inwardly off-center shearing jet-stirred reactor has significant improvement in terms of mixture uniformity and residence time distribution. Numerical results show the distributions of residence time in the two traditional jet-stirred reactors are wide and long tailed because of the formation of large and stable vortices, and the corresponding mean residence time of the two classical jet-stirred reactors deviates from the theoretical value by about 20%, while the new inwardly off-center shearing jet-stirred reactor has a much narrower residence time distribution and reduces the deviation to 8%, mainly attributed to the smaller vortices generated by an optimized jet arrangement. Moreover, the new inwardly off-center shearing jet-stirred reactor provides a fully optic-accessible platform for kinetic studies of alternative and real jet fuels.

A high pressure shock tube study of pyrolysis of real jet fuel Jet A

A typical Jet A fuel was pyrolyzed in a high-pressure shock tube at 25 and 90 atm under highly diluted conditions from 900 to 2200 K. The key species produced from the pyrolysis process were measured by gas chromatography as a function of the shock temperature. It was found that despite the compositional complexity of the fuel, the major pyrolysis products include a handful of species. They are ethylene, methane, hydrogen, propene, 1-butene, iso-butene, benzene, toluene, acetylene, 1,3-butadiene, allene and propyne, etc. Among them, ethylene is the most dominant species. The HyChem model recently proposed for the same fuel was used for prediction and comparison with the experimental data. Considering that the HyChem model was developed using shock tube and flow reactor data collected over a range of conditions significantly different from those of the current study, the agreement between the current experiment and model prediction is satisfactory. A Monte Carlo analysis was carried out that examined the sensitivities of the model predictions to the rate parameters. The results indicate that the effects of the uncertainties of A factors and those of activation energy are of significance in different temperature regions. Moreover, the low temperature region is dominated by the fuel pyrolysis reactions, while the high temperature region is dominated by the foundational chemistry which describes the pyrolysis and oxidation of fuel pyrolysis products.

Development of a new jet fuel surrogate and its associated reaction mechanism coupled with a multistep soot model for diesel engine combustion

A new jet fuel surrogate was developed in this work by emulating real jet fuel properties including physical, gas phase chemical properties and threshold sooting index (TSI). An intelligent optimization methodology was proposed to calculate the species composition that inherently satisfies both the physical and chemical characteristics as well as sooting tendency. Eight properties were selected as the target properties for the jet fuel surrogate development, including liquid density, viscosity, surface tension, cetane number (CN), hydrogen carbon (H/C) ratio, molecular weight (MW), lower heating value (LHV) and TSI. As a result, the CN, H/C ratio, LHV, TSI and density of the new jet fuel surrogate are reproduced excellently with very little deviations within 3%. The averaged deviation of viscosity is −6.318% and the deviations of MW is 9.776%. As the highest deviation among all properties, the averaged deviation of surface tension is 11.76%. Based on the newly developed jet fuel surrogate, a skeletal jet fuel surrogate mechanism with 5 components including decalin, n-dodecane, iso-cetane, iso-octane and toluene was developed. The skeletal jet fuel surrogate mechanism was significantly compacted into 74 species and 189 reactions by describing the chemistries for the oxidation of large molecules C4–Cn and small H2/CO/C1 molecules respectively, which makes it practical to be used for 3-D engine combustion simulations. The validations of ignition delay times present reasonable agreement between experiment and predictions over a wide range of equivalence ratios (0.5–2.0) and pressures (8–30 atm), except for a shift of negative temperature coefficient (NTC) region towards higher temperatures at Φ = 1.5, 20 atm: in the simulation the NTC region is from 830 K to 950 K while in the experiment the NTC region is from 740 K to 890 K. The predicted species concentrations can reproduce the trend of the experimental data, especially for O2, CO and CO2. The simulated laminar flame speed at 400 K and 470 K are with absolute averaged deviations of 3.5% and 4.06% respectively. The constant volume spray and combustion validations are reasonably good. In the engine combustion validations, a multistep soot model was embedded into the new jet fuel surrogate mechanism. The predicted in-cylinder pressure can reproduce the experimental data, expect for small deviations after the peak pressure (the averaged deviation is around 6.2% after the peak pressure). The embedded soot model can well reproduce the trend of the experimental data. It can be concluded that this new jet fuel surrogate mechanism is compact and robust for the utilization in diesel engine combustion simulation.

Progress in prediction of jet noise and quantification of aircraft/engine noise components

The bypass ratio of newer turbofan engines has been increasing steadily and has reached ∼10; even higher bypass ratios are being considered for improving aircraft fuel efficiency. An accurate method for the prediction of jet noise over a wide range of bypass ratio, from ∼5 to ultra-high bypass ratios (∼20), is required to address current and future needs. The main objective of the current study is the development of a procedure for real-world application that would permit the accurate prediction of jet noise, which in turn would enable the quantification of the non-jet noise component. A new empirical method for prediction of noise from realistic dual-stream jets is developed and validated against an extensive database acquired at model scale; the range of validity covers a velocity ratio ( Vs/Vp) ≥ ∼0.6, as this is the range of interest in real turbofan engines. Accurate absolute spectral predictions at all angles and all cycle conditions are first demonstrated at model scale. The same method is then extended to full-scale predictions, both from static engine tests and airplane flyover tests. The range of Strouhal number of interest in full-scale tests spans ∼0.1 to ∼100. Nearfield effects on the jet noise from dual-stream jets have been quantified and a simple and improved procedure for incorporating spectral effects has been developed. Accurate spectral predictions are obtained for noise from static engine tests and flyover tests, over a wide range of engine operating conditions and bypass ratio. Therefore, the good quality and accuracy of the new prediction method have been confirmed at both model scale and full scale, with and without forward flight. An absolute prediction takes ∼1 s on a workstation, as only a single scaling equation is utilized. The application of the new prediction method in gaining better quantification and understanding of the non-jet noise components, and their reduction, is described.

Experimental investigations of fuel preparation in a swirling airflow under realistic conditions without reaction in a combustor model with a point fuel source

This paper presents quantitative experimental results of non-reacting spray analysis inside a model combustor at realistic jet engine conditions based on a point fuel source and with using kerosene Jet A-1 for the first time. Therefore, two test conditions with combustor pressures of 0.4 and 1.2 MPa, air preheat temperatures of 440 and 740 K and fuel preheating temperatures of 358 and 467 K were investigated. The basis for this investigation was a specially made combustor model in combination with a burner model similar to a fuel-staged lean burner. The focus was on the main stage with a single decentralised point fuel source. This fuel entry is a liquid jet in cross flow (LJICF) with the jet direction normal to the main air flow. The velocity of the air flow was measured by Laser Doppler Anemometry (LDA). Phase Doppler Anemometry (PDA) was used for the simultaneous measurements of fuel drop size and velocity. Sauter mean diameter (SMD) distributions and drop size dependent velocities were shown for the different axial distances inside the model combustor and were discussed with respect to the distributions and the ability of fuel droplets to follow the airflow. The consequent findings of the drop dispersion were verified by Stokes numbers. The drop diameters, and therefore the Stokes numbers, are heavily dependent on test conditions. With values of 8 < SMD [μm] < 20, the drop sizes were accordingly small. For validating the liquid fuel combustion codes, the dataset is completed by histograms of drop size and the determined Rosin–Rammler (RR) parameters.

An optimization method for formulating model-based jet fuel surrogate by emulating physical, gas phase chemical properties and threshold sooting index (TSI) of real jet fuel under engine relevant conditions

Two jet fuel surrogates (S1 and S2) were proposed in this work, aimed at improving the quantitative accuracy of fuel properties that affect both premixed and spray-guided combustion modes under engine relevant conditions by emulating real jet fuel properties including physical, gas phase chemical properties and threshold sooting index (TSI). An intelligent optimization approach was employed to calculate the composition that inherently satisfies both the physical and gas phase chemical characteristics as well as sooting tendency. The jet fuel surrogate S1 was composed of five components including decalin, n-dodecane, iso-cetane, iso-octane and toluene (0.005/0.4011/0.1249/0.098/0.371 by mole fraction), while surrogate S2 is a mixture of the same components but different in proportions (0.1449/0.3706/0.2059/0.0195/0.2591 by mole fraction). Based on the newly proposed surrogates, a skeletal jet fuel surrogate chemical reaction mechanism was developed by describing the chemistries for the oxidation of large molecules C4Cn and smaller H2/CO/C1 molecules respectively. The skeletal jet fuel surrogate mechanism was significantly compacted into 74 species and 189 reactions, making it practical to be used in 3-dimensional (3-D) engine combustion simulations. This newly developed mechanism was verified against the experimental results of ignition delay times, species concentrations and laminar flame speed under a wide range of conditions, while 3-D validations were conducted for spray liquid and vapor penetrations in a constant volume chamber. As a result, the proposed fuel surrogate is capable of predicting the spray and combustion characteristics and main species profiles under engine relevant circumstance. Due to the stringent target properties used in this work, the surrogate S1 performed best in assessing ignition characteristics attributed to its elaborate chemical properties, making it the most suitable candidate for chemical dominated combustion like premixed engine combustion. Alternatively, S2 displayed outstanding spray-guided combustion behavior because of the stringent chemical and physical target properties assigned. It is worthwhile to note that this new method of formulating surrogates for different applications was efficient and time-saving. Finally, we aim to perform experimental validation tests for CN, density, viscosity, surface tension, TSI, sooting tendency and particle size distribution to further support the validity of the current proposed jet fuel surrogates (S1 and S2) in the future.

Desulfurization of liquid fuels by extraction and sulfoxidation using H2O2 and [CpMo(CO)3R] as catalysts

Efficient and recyclable liquid–liquid extraction and catalytic oxidative desulfurization (ECODS) systems for the removal of refractory sulfur compounds from liquid fuels are reported that use the cyclopentadienyl molybdenum tricarbonyl complexes [CpMo(CO)3Me] (1), [CpMo(CO)3(CH2-pC6H4-CO2Me] (2) and [CpMo(CO)3CH2COOH] (3) as catalyst precursors. An ionic liquid, 1-butyl-3-methylimidazolium hexafluorophosphate, was used as both extractant and reaction medium, entrapping the active homogeneous MoVI catalysts that are formed in situ under the operating catalytic conditions (aqueous H2O2 as oxidant, 50 °C). The high sulfoxidation activity of the catalyst formed from 1 was largely responsible for enabling >99% desulfurization within 1 h of a model oil containing 1-benzothiophene, dibenzothiophene, 4-methyldibenzothiophene and 4,6-dimethyldibenzothiophene (2000 ppm S). The IL/catalyst phase could be repeatedly recycled with no loss of desulfurization efficiency. By sequentially performing extractive desulfurization and ECODS steps, 83–84% sulfur removal was achieved for untreated real diesel and jet fuel samples with initial sulfur contents of ca. 2300 and 1100 ppm, respectively.

Multimodel Future Projections of Wintertime North Atlantic and North Pacific Tropospheric Jets: A Bayesian Analysis

AbstractThe impact of future greenhouse gas forcing on the North Atlantic and North Pacific tropospheric jets remains uncertain. Opposing changes in the latitudinal temperature gradient—forced by amplified lower-atmospheric Arctic warming versus upper-atmospheric tropical warming—make robust predictions a challenge. Despite some models simulating more realistic jets than others, it remains the prevailing approach to treat each model as equally probable (i.e., democratic weighting). This study compares democratically weighted projections to an alternative Bayesian-weighting method based on the ability of models to simulate historical wintertime jet climatology. The novel Bayesian technique is developed to be broadly applicable to high-dimensional fields. Results show the Bayesian weighting can reduce systematic bias and suggest the wintertime jet response to greenhouse gas forcing is largely independent of this historical bias (i.e., not state dependent). A future strengthening and narrowing is seen in both winter jets, particularly at the upper levels. The widely reported poleward shift at the level of the eddy-driven jet does not appear statistically robust, particularly over the North Atlantic, indicating sensitivity to current model deficiencies.

RETRACTED: Development of correlations for combustion modelling with supercritical surrogate jet fuels

Abstract Supercritical fluid technology finds its application in almost all engineering aspects in one or other way. Technology of clean jet fuel combustion is also seeing supercritical fluids as one of their contender in order to mitigate the challenges related to global warming and health issues occurred due to unwanted emissions which are found to be the by-products in conventional jet engine combustion. As jet fuel is a blend of hundred of hydrocarbons, thus estimation of chemical kinetics and emission characteristics while simulation become much complex. Advancement in supercritical jet fuel combustion technology demands reliable property statistics of jet fuel as a function temperature and pressure. Therefore, in the present work one jet fuel surrogate (n-dodecane) which has been recognized as the constituent of real jet fuel is studied and thermophysical properties of each is evaluated in the supercritical regime. Correlation has been developed for two transport properties namely density and viscosity at the critical pressure and over a wide range of temperatures (TC + 100 K). Further, to endorse the reliability of the developed correlation, two arithmetical parameters have been evaluated which illustrates an outstanding agreement between the data obtained from online NIST Web-Book and the developed correlation.

Off-axis short GRBs from structured jets as counterparts to GW events

Abstract Binary neutron star mergers are considered to be the most favourable sources that produce electromagnetic (EM) signals associated with gravitational waves (GWs). These mergers are the likely progenitors of short duration gamma-ray bursts (GRBs). The brief gamma-ray emission (the ‘prompt’ GRB emission) is produced by ultrarelativistic jets, as a result, this emission is strongly beamed over a small solid angle along the jet. It is estimated to be a decade or more before a short GRB jet within the Laser Interferometer Gravitational-Wave observatory (LIGO) volume points along our line of sight. For this reason, the study of the prompt signal as an EM counterpart to GW events has been sparse. We argue that for a realistic jet model, one whose luminosity and Lorentz factor vary smoothly with angle, the prompt signal can be detected for a significantly broader range of viewing angles. This can lead to an ‘off-axis’ short GRB as an EM counterpart. Our estimates and simulations show that it is feasible to detect these signals with the aid of the temporal coincidence from a LIGO trigger, even if the observer is substantially misaligned with respect to the jet.

Stability analysis of an electrospinning jet of polymeric fluids

The axisymmetric instability, which has a potential to cause bead formation along the fibers produced by electrospinning technique, is examined with the help of linear stability theory. The stability of a straight jet is analyzed under conditions corresponding to the electrospinning of two types of polymeric fluids, the PIB-based Boger fluid with low electrical conductivity and the highly conductive PEO solution in ethanol/water. For the former, the rheology is described by the Oldroyd-B model, suitable for unentangled polymers under weak elongational flow. On the other hand, the highly conductive polymer solution experiences a strong elongational flow due to very high axial electric force, for which the viscoelasticity is appropriately described using the eXtended Pom-Pom (XPP) model, the nonlinear rheological model for entangled polymeric systems. Contrary to previous studies, which oversimplifies the electrified jet as a cylindrical jet with uniform radius and other jet variables, we analyze the stability of the realistic non-uniform thinning jet as observed in electrospinning experiments. The stability of the thinning jet profile, obtained using the 1D slender body model, is examined by imposing non-periodic axisymmetric disturbances and constructing the spectrum of disturbance growth rate. The thinning jet is found to be relatively less unstable than the uniform jet, which is attributed to the stabilizing role of extensional stresses, in addition to the axial variation in surface charge density and electric field, present in the non-uniform deforming jet, but ignored in the analysis of the uniform jet. For both the reference fluids considered, the polymer addition renders the jet stable and thus, suppresses the bead formation during straight jet path of electrospinning. Also, the enhancement in fluid elasticity, characterized by the flow Deborah number, plays a stabilizing role for the thinning jet of Oldroyd-B fluid. However, for the XPP fluid, the fluid elasticity shows a rich behavior with a stabilizing effect for moderate values of Deborah number, attributed to stretching of polymer chain between the branch points, and a destabilizing effect for highly elastic fluids, due to strain rate softening. Increasing the strain hardening effect in the polymer solution, achieved by increasing number of arms at the branch point in the XPP molecule, tends to stabilize the electrospinning jet against axisymmetric disturbances potentially producing smooth bead-less fibers. While the instability in low conductivity fluid is driven by capillary forces, the instability in highly conductive fluid is an oscillatory conducting mode driven by the coupling of the surface charges and the axial electric field.

Liquid jet formation through the interactions of a laser-induced bubble and a gas bubble

The mechanisms of the liquid jet formation from the interaction of the laser-induced and gas bubble pair are investigated and compared with the jet formation from the interaction of the laser-induced anti-phase bubble pair. The strobe photography experimental method and numerical simulations are implemented to obtain the parameter space of the optimum liquid jet, i.e. highest speed and lowest diameter. It is found that due to the enhanced “catapult effect”, which is induced by the protrusion of the first bubble into the second bubble and the flip back of the elongated part of the first bubble, the optimum liquid jet of the second bubble of the laser-induced anti-phase bubble pair compared to that of the laser-induced and gas bubble pair is 54 %, 65 % and 11 % faster in speed, and 4 %, 44 % and 64 % smaller in diameter, for the 500 μm, 50 μm and 5 μm sized bubbles, respectively. The optimum dimensionless distance for the optimum jet of the laser-induced and the gas bubble is around 0.7, when the maximum bubble radius increases from ∼ 5μm to ∼500 μm, which is different from the laser-induced anti-phase bubble pairs. Besides, the optimum jet of the laser-induced bubble appeared when the bubbles are equal sized, while that of the gas bubble is independent of the relative bubble size, i.e. the liquid jet of the gas bubble has higher robustness in real liquid jet assisted applications when the laser-induced bubble size varies. However, the jet of bubble 2 could maintain a high speed (20 m/s - 35 m/s) and a low diameter (∼5 % of the maximum bubble diameter) over a big range of the dimensionless distance (0.6 - 0.9) for both of the 50 μm and 500 μm sized laser-induced equal sized anti-phase bubble pairs.

The different energy loss mechanisms of inclusive and b-tagged reconstructed jets within ultra-relativistic heavy-ion collisions

The phenomenon of jet quenching provides essential information about the properties of hot and dense matter created in ultra-relativistic heavy-ion collisions. Recent results from experiments at the Large Hadron Collider (LHC) show evidence for an unexpectedly similar suppression of both light and heavy flavor jets. Furthermore, the role of radiative energy loss of heavy quarks is still under active discussion within the theoretical community. By employing the parton cascade Boltzmann Approach to Multi-Parton Scatterings (BAMPS), which numerically solves the 3+1 D Boltzmann equation both for light and heavy flavor partons, we calculate the nuclear modification factor of inclusive and b-tagged reconstructed jets in 0–10% central sLHC=2.76 A TeV Pb + Pb collisions. Based on perturbative QCD cross sections we find a suppression of both light and heavy flavor jets. While the inclusive jets are slightly too strong suppressed within Bamps in comparison with data, both elastic + radiative and only elastic interactions lead to a realistic b-tagged jet suppression. To further investigate light and heavy flavor energy loss we predict the R dependence of inclusive and b-tagged jet suppression. Furthermore, we propose the medium modification of b-tagged jet shapes as an observable for discriminating between different heavy quark energy loss scenarios.

Analyzing filter media performance

Many filter media manufacturers base their results on different testing methods. Results vary accordingly with the different approaches offering different results. This article looks at the performance correlation of a flat filter media test rig and a real time pulse jet filtration process.

NLO QCD and electroweak corrections to WWW production at the LHC

In this paper we calculate the next-to-leading order (NLO) QCD $[\mathcal{O}({\ensuremath{\alpha}}_{s}{\ensuremath{\alpha}}^{3})]$ and electroweak (EW) $[\mathcal{O}({\ensuremath{\alpha}}^{4})]$ corrections to the $WWW$ production at the LHC and deal with the subsequent leptonic decays from $W$ bosons by adopting an improved narrow-width approximation which takes into account the spin correlation and finite-width effects. The NLO QCD correction from the real jet radiation is discussed, which significantly enhances the production rate, particularly in the high-energy region. We also provide the integrated cross section for the $WWW$ production and various kinematic distributions of final products at the $\mathrm{QCD}+\mathrm{EW}$ NLO. We find that the convergence of the perturbative QCD description can be improved by applying a hard jet veto in the event selection, but this jet veto would introduce a new source of theoretical uncertainty. The pure NLO QCD relative correction to the integrated cross section for the ${W}^{+}{W}^{\ensuremath{-}}{W}^{+}$ production at the 14 TeV LHC is on the order of 30% in the jet-veto event selection scheme with ${p}_{T,\text{jet}}^{\mathrm{cut}}=50\text{ }\text{ }\mathrm{GeV}$, while the genuine NLO EW relative correction can reach about 15% in the inclusive event selection scheme. Our numerical results show that both the NLO QCD and NLO EW corrections should be taken into consideration in precision predictions.