Oil Particles Research Articles

Applicability of Numerical Simulation to the Classification of Fluid Dynamic Loss in Aeroengine Transmission Gears

Abstract In high-speed gear systems for aeroengines, reducing the fluid dynamic loss, which accounts for the majority of power loss, can significantly improve fuel economy. However, few practical numerical examples are available regarding high-speed gas–liquid two-phase flows involving gear meshing and gear shrouds (gear enclosures, which are effective for loss reduction). Therefore, in this study, the porosity method for object boundaries including the gear meshing, the volume of fluid method, and the surface compression method for the gas–liquid interface was used as fast and numerically stable calculation methods. In addition, a gap was provided at the contact surface of the gear tooth surface to improve the calculation stability, and the oil properties were set considering the difference between the flow resistance in a two-phase flow and that in a single-phase flow (due to the separation of oil particles) to improve the calculation accuracy. To validate the numerical simulation method, a two-axis helical gearbox with a maximum peripheral speed of 100 m/s with specifications equivalent to aeroengine gears was used, and the air flow, oil flow, and fluid dynamic losses were validated. Once the practical accuracy was confirmed, the numerical simulation was used to understand the relationship between air and oil flows, torque, and the effect of the shroud. Consequently, the fluid dynamic loss could be classified phenomenologically.

Fabrication of a Fluorocarbon Low Surface Energy Coating for Anti-Stain Applications.

In the long-term working state, stains such as dust, oil, and charged particles in the environment are prone to deposit on the surface of the power equipment, which has great security risks. To achieve anti-stain performance, fluorocarbon composite coating with a low surface energy was prepared and studied. In this paper, SiO2 nanoparticles were used as inorganic fillers and fluorocarbon resin was used as the substrate to form anti-stain coatings. By adjusting and optimizing the ratio of fillers and organic resins, coatings with different static contact angles were constructed. The optimum composite coating has a contact angle of 151 ± 2° and a surface energy of 9.6 mJ/m2. After high-temperature treatment (up to 200 °C), immersion in corrosive solutions (pH 3-11), and sandpaper abrasion (after 5 abrasion cycles), the coating has been proven to show good thermal, chemical and mechanical stability. Our study provides significant research and market opportunities for the anti-stain application of the fluorocarbon composite coating on power equipment.

Nutrition and stability enhancement of yoghurt fortified with encapsulated algae oil through vortex fluidic device

The main challenges to maximising the health benefits of algae oil are improving bioavailability and minimising oxidation while raising consumer acceptance. Processing with a continuous flow thin film vortex fluidic device (VFD) significantly improves Tween 20 encapsulation by comparison with conventional homogenisation processing. Observed through emulsion stability, scanning electron microscope, epi-fluorescence microscopy, dynamic light scattering, peroxide value, confocal microscopy and scanning electron microscopy, algae oil particles were remarkably smaller, ∼250 nm versus ∼2.3 μm, and improved emulsion stability from 10.4 ± 1.3% to 55.4 ± 3.2%. Shown by significantly reduced peroxide value from ∼7 meq O2/Kg to less than 1 meq O2/Kg, oxidation of algae oil was drastically reduced by VFD encapsulation. The different microstructures of original yoghurt, yoghurt with raw algae oil and VFD-encapsulated algae oil were comprehensively studied by confocal microscope and scanning electron microscope. The VFD mediated encapsulated algae oil enriched yoghurt stability with more incorporated microstructure among different components. Sensory properties with higher overall acceptance in categories of taste (7.2 ± 0.32 versus 5.8 ± 0.23) and texture (7.1 ± 0.22 versus 5.3 ± 0.30) is reflected in sensory scores, with a smoother micro-structure of the freeze-dried yoghurt resulting in a more pleasant mouth feel, faster flavor exposure, and a creamier texture.

Study on Bridging Characteristics of Fiber Particles in Flowing Insulating Oil Under DC Electric Field

This paper investigates the bridging behavior of fiber particles in insulating oil under the background of flow-electric coupled field, which is of great significance for explaining the micro-discharge and the deterioration of overall electrical property of insulating oil in transformer. Based on the observation experiments, a constructed oil circulation device and shooting system is used to study the bridging characteristics of fiber particle swarm in oil flow under DC electric field. The effects of electric field intensity, oil flow velocity and mass fraction of particles in oil on the bridging process are analyzed in detail, and the changes of conduction current between electrodes under different conditions are recorded. The results show that the bridging behavior of fiber particle swarm is the result of the combined action of flow field and electric field. The forces provided by electric field on the fiber particles cause them to aggregate and bridge between electrodes, and with the increase of field intensity, the bridging speed increases significantly. The influence of flow velocity is more complicated, and it has different effects on the bridging process of particles under low and high field intensity. The mass fraction of fiber particles in oil is negatively correlated with the difficulty of bridging between electrodes. Finally, the bridging mechanism is explained from the perspective of the forces on particles and electric field distortion, and the variation characteristics of conduction current between electrodes are analyzed.

Acoustophoresis of monodisperse oil droplets in water: Effect of symmetry breaking and non-resonance operation on oil trapping behavior.

Acoustic manipulation of particles in microchannels has recently gained much attention. Ultrasonic standing wave (USW) separation of oil droplets or particles is an established technology for microscale applications. Acoustofluidic devices are normally operated at optimized conditions, namely, resonant frequency, to minimize power consumption. It has been recently shown that symmetry breaking is needed to obtain efficient conditions for acoustic particle trapping. In this work, we study the acoustophoretic behavior of monodisperse oil droplets (silicone oil and hexadecane) in water in the microfluidic chip operating at a non-resonant frequency and an off-center placement of the transducer. Finite element-based computer simulations are further performed to investigate the influence of these conditions on the acoustic pressure distribution and oil trapping behavior. Via investigating the Gor'kov potential, we obtained an overlap between the trapping patterns obtained in experiments and simulations. We demonstrate that an off-center placement of the transducer and driving the transducer at a non-resonant frequency can still lead to predictable behavior of particles in acoustofluidics. This is relevant to applications in which the theoretical resonant frequency cannot be achieved, e.g., manipulation of biological matter within living tissues.

INCREASING THE GASLIFT EFFECTIVENESS BY ADJUSTING MULTIPHASE FLOW HYDRAULIC CHARACTERISTIC

Real media that are encountered in hydrocarbon production industry are normally represented by systems, comprised of at least two phases, of which one is dispersed and distributed in another. As it is known, production, gathering, preparation and transport of oil and natural gas are based on multiphase technology, comprised of lifting the hydrocarbons from the formation to the surface, transport to the separation facilities, separation and intrafield transport of multiphase mixtures, consisting of oil, natural gas, formation water and mechanical particles. This article strives to determine the optimal work regimes of production of gaslift systems based on the relations between production rates and gas pressure in cylindrical flows. Knowing the parameters of the well borehole as well as the parameters of the produced fluid and gas injection rates it is possible to determine the optimal flow regime as a derivative of a function of pressure losses versus production rates (ΔP/Q). This function is called the flow hydraulic characteristic, and it is this function, by optimizing which an optimal flow regime of the gaslift operated well can be achieved. Estimation the hydraulic characteristic relies heavily on calculation of pressure losses of the gaslift producing well. These losses consist of two independent factors: gravitational and frictional. Frictional pressure losses have linear dependence versus the flow rate, while gravitational losses exhibit an inverse, hyperbolic, correlation to changes in flow rate. To get the full picture of the pressure loss both aspects must be accurately calculated from the given field data. In order to do so, it is important to estimate real gas content of the multiphase flow, which is a complex function of direction and velocity of the multiphase flow, gas and liquid flow rates, gas slippage, etc. Once the pressure losses have been calculated it is comparatively simple to optimise the gas flow rate to adjust the hydraulic characteristic, guiding the gaslift production process towards optimal production rates. Keywords: Gaslift, multiphase flow, pressure losses, joint transport, gas content.

Comparing iodized oil with polyvinyl alcohol for portal vein embolization in promoting liver remnant increase before partial hepatectomy

BackgroundTo compare the efficacy and safety of iodized oil versus polyvinyl alcohol (PVA) particles in portal vein embolization (PVE) before partial hepatectomy. MethodsFrom October 2016 to December 2021, 86 patients who planned to undergo hepatectomy after PVE were enrolled, including 61 patients post-PVE with PVA particles + coils and 25 patients post-PVE with iodized oil + coils. All patients underwent CT examination before and 2–3 weeks after PVE to evaluate the future liver remnant (FLR). The intercohort comparison included the degree of liver volume growth, changes in laboratory data, and adverse events. ResultsThere was no significant difference in the resection rate between the iodized oil group and the PVA particle group (68 % vs. 70 %, p = 0.822). In terms of the degree of hypertrophy (9.52 % ± 13.47 vs. 4.03 % ± 10.55, p = 0.047) and kinetic growth rate (4.07 % ± 5.4 vs. 1.55 % ± 4.63, p = 0.032), the iodized oil group was superior to the PVA group. The PVE operation time in the PVA particle group was shorter than that in the iodized oil group (121. 72 min ± 34.45 vs. 156. 2 min ± 71.58, p = 0.029). There was no significant difference in the degree of hypertrophy between the high bilirubin group and the control group (5.32 % ± 9.21 vs. 6.1 % ± 14.79, p = 0.764). Only 1 patient had a major complication. ConclusionsCompared with PVA particles, iodized oil PVE can significantly increase liver volume and the degree of hypertrophy without any significant difference in safety.

Characterization of Silicone from Closed System Transfer Devices and its Migration into Pharmaceutical Drug Products

Closed System Transfer Devices (CSTDs) are increasingly used in healthcare settings to facilitate compounding of hazardous drugs but increasingly also therapeutic proteins. However, their use may significantly impact the quality of the sterile product. For example, contamination of the product solution may occur by leaching of silicone or particulates from the CSTDs. It was therefore the aim of the present study to identify and quantify the types of silicone oil in a panel of typically used CSTDs. Particles found after simulated CSTD compounding processes were evaluated using Light Obscuration and Micro-Flow Imaging and were confirmed to be silicone oil particles. The number of particulates shed from CTSDs was in single cases exceeding pharmacopeial limits for a final parenteral product.Using X-ray microtomography, lubrication was shown to be primarily applied at connecting parts of the CSTD. Quantitative and qualitative analysis by Fourier transform infrared spectroscopy (FTIR) revealed a total released amount between 0.8 and 16 mg per CSTD of polydimethylsiloxane or polymethyltrifluoropropylsiloxane per CSTD. While pronounced differences in total silicone content between CSTDs were observed, it did not fully correlate with particle contamination in the test solutions, potentially due to variations in CSTD design. The impact of typical surfactants in biological formulations on silicone migration into product was additionally evaluated.We conclude that CSTDs may compromise final product quality, as (different types of) silicone oil may be released from these devices and contaminate the administered product.

Removal of catalyst particles in the fluid catalytic cracking slurry oil by chemical settling in a rotating packed bed

Removal of catalyst particles from the fluid catalytic cracking (FCC) slurry oil is of crucial significance for its efficient utilization. In this work, the removal of catalyst particles from FCC slurry oil was performed in a stirring tank reactor (STR) and the optimal operating conditions in STR were obtained. Under the optimal operating conditions (900 rpm, 30 min, 95 °C, 24 h, 500 μg/g settling agent), the ash content in the FCC slurry oil treated by the chemical settling can be reduced from 5620 μg/g to 320 μg/g. These results showed that stirring speed, dosage of the settling agent, and mixing time are important to improve the removal efficiency of catalyst particles. Moreover, a rotating packed bed (RPB), as an intensified micromixing device, was employed to intensify the removal of catalyst particles from FCC slurry oil. The ash content in the FCC slurry oil treated by the chemical settling can be reduced from 5620 μg/g to 270 μg/g in RPB under the optimal operating conditions. The removal efficiency of the ash in RPB was increased by 15.6 % with respect to those obtained in STR. This work could provide relevant guidelines to rationally design efficient route for the removal of catalyst particles from FCC slurry oil.

Analysis of characteristics of electric field-enhanced multi-gradient of solid particles in oil

Lubricating oil is easily polluted by solid particles, causing it to deteriorate; therefore, solid particles must be separated from the oil. Furthermore, as conventional filtration devices cannot meet both filtration accuracy and service life requirements, an oil and solid separation method for multi-gradient filtration enhanced by an electric field is proposed. A numerical model for multi-gradient separation was established by coupling the governing equations of electric and flow fields, the particle-wall collision equation, and the discrete phase-tracking equation. Enhanced by an electric field, the characteristics of the multi-gradient filtration of solid particles in oil were investigated using finite element method. The effects of the main control parameters on the filtration performance were analyzed. The results indicate that using the electric field-enhanced multi-gradient filtration method can achieve highly efficient separation of solid particles from the oil. When the electric field strength was increased from 0 kV/mm to 2 kV/mm, the deposition concentration of particles was 2.5 times higher and filtration efficiency of the system increased to 97.46%. Additionally, the deposition concentration and filtration efficiency decreased from 0.15 m/s to 0.3 m/s, while gradually increased from 0.3 m/s to 0.5 m/s, for a particle size range of 10–40 µm.

Sub-Visible Particle Classification and Label Consistency Analysis for Flow-Imaging Microscopy Via Machine Learning Methods

Sub-visible particles can be a quality concern in pharmaceutical products, especially parenteral preparations. To quantify and characterize these particles, liquid samples may be passed through a flow-imaging microscopy instrument that also generates images of each detected particle. Machine learning techniques have increasingly been applied to this kind of data to detect changes in experimental conditions or classify specific types of particles, primarily focusing on silicone oil. That technique generally requires manual labeling of particle images by subject matter experts, a time-consuming and complex task.In this study, we created artificial datasets of silicone oil, protein particles, and glass particles that mimicked complex datasets of particles found in biopharmaceutical products. We used unsupervised learning techniques to effectively describe particle composition by sample. We then trained independent one-class classifiers to detect specific particle populations: silicone oil and glass particles. We also studied the consistency of the particle labels used to evaluate these models. Our results show that one-class classifiers are a reasonable choice for handling heterogeneous flow-imaging microscopy data and that unsupervised learning can aid in the labeling process. However, we found agreement among experts to be rather low, especially for smaller particles (< 8 µm for our Micro-Flow Imaging data). Given the fact that particle label confidence is not usually reported in the literature, we recommend more careful assessment of this topic in the future.

A Review on Oil-Soluble Polyisobutylene-Based Dispersant for Colloidal Stabilization

Oil soluble polymeric-based dispersants have been extensively used in engine oil lubrication formulation due to their inherent properties, such as modifiable viscosity, compatibility, and effectiveness. However, the underlying mechanism of how the dispersant stabilizes soot particles in engine oil is still not fully understood, and discovering this mechanism is crucial for engine oil formulation technology. This review discusses the interactions between colloidal particles induced by two PIBSA-derived dispersants, namely PIBSI and PIBSAE. The effectiveness of these dispersants in stabilizing colloidal particles in oil systems depends on the chemical functional groups present on the main chain. The spectrum of colloidal interactions, ranging from Derjaguin, Landau, Verwey and Overbeek (DLVO) to non-DLVO theory, is predominantly influenced by the equilibrium between dispersant concentration and the overall system viscosity. This phenomenon can eventually reverse colloidal stabilization and result in more serious issues, such as engine wear and tear.

Analyzing the Effects of Lubrication Techniques on CNC Spindle Bearing Heat: An Experimental Investigation

The machining ability and accuracy of a machine are determined by parameters such as the stiffness and load capacity of its spindle unit. In addition, the effectiveness and technique of lubrication and cooling can significantly affect the operational characteristics of the machine spindle. The current study investigated the effects of two different lubrication methods, grease and air-oil mixture, on the temperature which is generated at the spindle bearings of a Computer Numerical Control (CNC) machine. The temperature distribution and rise rate of the bearings were measured using a thermal imaging camera and thermocouples. The results indicated that the air-oil mixture method was more effective in dissipating heat and reducing the temperature of the bearings than the grease method, due to the direct cooling provided by the air-oil mixture to the bearing balls, resulting in improved lubrication efficiency and heat exchange with the environment. Compared to the grease lubrication method, the temperature of the bearings was lower by 7°C to 9°C depending on the position of the bearing on the CNC spindle. Therefore, it is recommended to use the air-oil mixture lubrication method, especially for high-speed processing on CNC machines. However, the discharge of oil particles from the ventilation system should be carefully controlled. Overall, the findings offer valuable insights into optimizing lubrication methods for CNC machines to enhance processing quality and reduce the impact of temperature on the bearing performance.

Experimental Study on the Thermal Conductivity of Three Natural Insulators for Industrial Fishing Applications

Ecological materials have been implemented in different industrial sectors due to their good performance as thermal insulators and the fact that they are 100% natural, recyclable, and biodegradable, contributing to environmental sustainability. The main objective of this article is to compare the thermal conductivity coefficients of three natural insulators with that of expanded polystyrene (a non-biodegradable material). Expanded polystyrene is one of the materials which is most often used to maintain cold temperatures in containers built for this purpose in the fishing industry; it is used for this purpose because of its properties, including a light weight and a high thermal insulation capacity and resistance. Almost all insulators have the ecological disadvantage of being environmentally unfriendly materials because they are made up of oil particles, which are not recyclable and are harmful to ecosystems. The natural insulator materials were evaluated and subjected to a drying process to reduce the humidity coefficient; then, the containers were built with an adequate insulation thickness of 25 mm. Three filling tests were carried out (at 100, 70, and 50%) to evaluate the thermal conductivity, using the Mann–Whitney U statistical analysis process to determine insulator differences. The results show that the expanded polystyrene had the lowest thermal conductivity of 0.032 W/m K, followed by the rice husk, which had a value of 0.036 W/m K. Finally, a comparative study of conservation costs was carried out in the different containers built with the natural insulators; the lowest value found was for the expanded polystyrene (COP 159.57 around USD 0.040). This allowed to conclude that rice husk is the material that comes closest to the insulating characteristics of expanded polystyrene.

Media-milled agar particles as a novel emulsifier for food Pickering emulsion

Pickering emulsions was successfully fabricated using ball-milled agar particles with sizes and sulfate content around 7 μm and 0.62 %, respectively. These particles were obtained through a simple media-milling process using agar powders initially sized at 120 μm. The lamellated agar is aggregated into a mass after the milling process. The surface charge and hydrophobicity of the ball-milled agar particles were characterized through zeta potential and contact angle measurements, respectively. The droplet size of Pickering emulsions was related to oil fraction and particle concentration, ranging from approximately 45 μm to 80 μm. Ball-milled agar stabilized emulsions were sensitive to pH and salt conditions. The results of confocal laser scanning microscopy and cryo-SEM showed that at low particle concentrations and oil fractions, ball-milled agar stabilized the emulsions by dispersing particles on the surface of the oil droplets through electrostatic repulsion. Conversely, ball-milled agar stabilized the emulsions under high particle concentrations and oil fractions by forming a gel network structure to bind the oil droplets. In this research, this developed method provides the basis for the high-value application of agar and a new idea for preparing stable food-grade Pickering emulsion-based functional foods using raw-food material without surface wettability.

Development and Application of The Graft Coated Viscosity Reducer

The graft coated viscosity reducer was developed for the high cost of mixing light oil. The viscosity reducing mechanism is that the polar hypertonic agents in thSe viscosity reducer dissociate the net structures of the resin and asphalt and then form eutectic grafting with these dissociated macromolecules when the heavy oil in the water was broken or in the solution of associating state. The heavy oil takes shape of small particles while the resin is out of structure and not easy to get agglomerated. The released resin and the coating agent for the viscosity reducer form a layer of film on the surface of small oil particles to prevent the resin and asphalt from network structuring again. The heavy oil particles are not easy to be in coalescence concerning electrical repulsion and solution association among the coating in between. The heavy oil particles are dispersed in the medium to achieve the stabilization of viscosity reduction. For example, the viscosity of the crude oil from Liaohe Oilfield is 87.2mP•s after adding the agent at 50°C (the original viscosity was 4919mP•s). The viscosity reducer did not corrode the pipelines and wellbores and had no effect on the dehydration of united stations. The construction was carried out by continuously dripping the viscosity reducer into the 16 wells of Liaohe Oilfield. The viscosity all decreased to below 100mP•s afterwards. The current, load and other parameters all decreased along with the application. So this method could take the place of mixing light oil.

Performance evaluation and field verification of a selective water plugging agent

Given the low plugging success rate of existing plugging agents in oilfield applications, this study proposed a new selective plugging agent system (SA-1-S) with a high plugging efficiency, which dissolves in oil and releases oil flow channels under formation temperature conditions. Being insoluble in water and acid, it blocks water flow channels. In particular, at ambient temperature of 25 °C and reservoir temperature of 65 °C, the dissolution rate of SA-1-S particles in formation crude oil, kerosene, and diesel oil exceeded 96%, being suitable for formations at temperatures below 120 °C∼130 °C. The proposed agent’s plugging rate exceeded 90% on cores and 80% under reverse kerosene action; this rate dropped under forward scouring by 2.01 ∼ 3.21%. The selective water plugging agent proposed in this paper has application prospects in improving the oil recovery in high water-bearing oil wells.

Studying the effect of surfactant assisted low-salinity water flooding on clay-rich sandstones

Sandstone reservoirs often contain clay particles that can cause damage and reduce permeability during low-salinity water flooding. In this study, the effect of surfactants on fine migration in clay-rich sandstones and its impact on oil recovery was investigated.First, the impact of surfactants on interparticle forces in fine-matrix, fine-fine, and oil-matrix systems was modeled. The results showed that both CTAB (cetyltrimethyl ammonium bromide) and QS (quillaja saponin) cause EDL compaction, weakening the repulsive forces. However, SDS (sodium dodecyl sulfate) and TX (triton X-100) do not affect the EDL. Next, the effect of surfactants on IFT reduction and wettability alteration was experimentally investigated. All surfactants reduced IFT due to the surface excessive concentration mechanism. The wettability alteration experiment illustrated that although QS and CTAB compact EDL around oil and matrix particles leading to attraction force augmentation, they both alter wettability through adsorption on matrix and carboxylic groups present in crude oil, respectively.Surfactant aqueous solutions were then injected into various clay-rich sandstone sanpacks, which resulted in increased oil recovery. However, the mechanisms leading to enhanced oil recovery variedby surfactant type. CTAB increased recovery by 10% through IFT reduction and wettability alteration, while SDS and TX increased recovery by 12% and 9%, respectively, through wettability alteration and extreme fine migration. In contrast, partial fine migration in the QS flooding experiment reached a recovery increase of 18%. Permeability trends through experiments were also recorded. During CTAB injection, permeability did not reduce, while QS aqueous solution reduced rock permeability to 5 mD. SDS and TX reduced the magnitude of permeability to 2 mD.In conclusion, this study demonstrates that surfactants can effectively improve oil recovery in clay-rich sandstones by altering the interparticle forces, reducing IFT, and changing wettability. The results suggest that the type of surfactant used should be carefully selected to achieve the desired recovery increase without affecting the permeability of the reservoir.

Heterostructure particles enable omnidispersible in water and oil towards organic dye recycle

Dispersion of colloidal particles in water or oil is extensively desired for industrial and environmental applications. However, it often strongly depends on indispensable assistance of chemical surfactants or introduction of nanoprotrusions onto the particle surface. Here we demonstrate the omnidispersity of hydrophilic-hydrophobic heterostructure particles (HL-HBPs), synthesized by a surface heterogeneous nanostructuring strategy. Photo-induced force microscopy (PiFM) and adhesion force images both indicate the heterogeneous distribution of hydrophilic domains and hydrophobic domains on the particle surface. These alternating domains allow HL-HBPs to be dispersed in various solvents with different polarity and boiling point. The HL-HBPs can efficiently adsorb organic dyes from water and release them into organic solvents within several seconds. The surface heterogeneous nanostructuring strategy provides an unconventional approach to achieve omnidispersion of colloidal particles beyond surface modification, and the omnidispersible HL-HBPs demonstrate superior capability for dye recycle merely by solvent exchange. These omnidispersible HL-HBPs show great potentials in industrial process and environmental protection.

De-oiling characteristics and mechanism of oil-bearing sludge cleaned by CGAs

There hasn't been much study on using Colloidal Gas Aphrons (CGAs) to clean oily sludge. In addition, the efficacy and mechanism of CGAs-enhanced surfactant cleaning of oily sludge are not yet clear. Therefore, in this study, CGAs prepared from the compound surfactant solution were used to clean oily sludge in an oil field in Xinjiang. The performance of CGAs in terms of oil removal and particle size was both examined when building the surfactant compounding system. The removal abilities of CGAs from different crude oil components and an analysis of the chemical cleaning process of CGAs were studied. The results demonstrated that the interfacial tension was as low as 3.535 mN/m and the oil removal rate of CGAs was as high as 92.9% when the ideal ratio of sophorolipid (SL) to sodium dodecyl benzene sulfonate (SDBS) was 6: 4. The average particle size of CGAs was 90.57 µm at this ideal ratio. The Zeta potential and turbidity of the supernatant after CGAs cleaning was lower than those of chemical cleaning. Infrared analysis, two-dimensional fluorescence analysis, and thermogravimetric methods were used to characterize the oily sludge after CGAs cleaned. According to the analysis's findings, CGAs' enormous specific surface area allows them to adsorb more petroleum pollutants and improved the ability of those pollutants to migrate between the water phase and other phases of the atmosphere. Also, CGAs are particularly successful in adhering to petroleum-based pollutants in oil sludge for the removal of light constituents like n-alkanes and aromatic hydrocarbons due to the synergistic effects of hydrophobic and electrostatic effects on the functional surface of CGAs. This work provides useful information on the mechanism of the enhanced removal of crude oil from oily sludge by CGAs and provides a new idea for oily sludge cleaning.