Particle Edge Research Articles

Observing and Modeling the Wear Process of Heterogeneous Interface.

Understanding and controlling the wear process of heterogeneous interfaces between soft and hard phases is crucial for designing and fabricating materials, such as improving the wear resistance of particle reinforced metal matrix composites and the accuracy and efficiency of chemical mechanical polishing. However, the wear process can be hardly observed, as interfaces are buried under the surface. Here, we proposed a nanowear test method by combining focused ion beam cutting to expose interfaces, atomic force microscopy to rub against interfaces, and scanning electron microscope to characterize the interface damage. Using this method, three typical wear forms had been observed in Al/SiC composite, i.e., merely matrix wear, particle fracture, and particle pullout. A theoretical model was proposed that revealed that the increasing interfacial friction would induce particle fracture or pullout, depending on the particle edge angle and tip edge angle. This work sheds light on wear control in composites and nanofabrication.

Wide-velocity range high-energy plasma sprayed yttria-stabilized zirconia thermal barrier coating — Part I: Splashing splat formation and micro-adhesive property

Regulation on the disked-shape splat is generally regarded as the traditional way to enhance micro-adhesive properties of the splat/substrate interface. In this paper, a conception of impact-induced splashing splat is proposed in order to improve these micro-adhesive properties. Three contrasting types of splashing splat were studied, utilizing a wide-velocity high-energy plasma spraying method. The experimental results suggested that the needle-shaped splat formed by the impingement of supersonic particles possessed a greater micro-adhesive strength on an metallic substrate, as much as twice that of its subsonic counterpart. The threshold velocity was 572 m/s for supersonic adhesion. In relation to air film formation and interlocking reconstruction, the solidification texture and micro-adhesive at the central and peripheral regions was also investigated. The formation process of splashing splat was divided into three stages: particle deformation, edge fragmentation and impingement. This results will provide guideline for tailoring the high-performance thermal barrier coatings.

Sintering of vesiculating pyroclasts

Hot volcanic pyroclasts can sinter, vesiculate, and outgas in concert – a combination of processes which remains poorly constrained. And yet this combination of processes can occur coincidently during deposition from pyroclastic density currents, in conduit-filling pyroclastic debris, and in tuffisites. In many of these settings, it is the sintering-driven evolution of permeability that is key to gas transport through the evolving deposit. Here, we experimentally and theoretically investigate the evolution of the permeable networks during sintering of hot fragmental volcanic systems, which are hydrous and oversaturated at the experimental conditions. Firstly, we find that vesiculation results in shutting of the inter-granular porous network as bubble growth drives expansion of the particles into one another, destroying interconnected pores. Secondly, we observe that degassing by diffusion out of the particle edge results in contraction of the vesicular particles, re-opening pore spaces between them. Therefore, we find that vesiculation, and diffusive outgassing compete to determine both the intra-fragment vesicularity and the permeability during sintering. The development of intra-fragment vesicularity directly impacts the inter-fragment pore space and its connectivity, which decreases during vesiculation and subsequently increases during diffusive outgassing, prompting complex, non-linear permeability evolution.The relative dominance of these processes is fragment size dependent; proportionally, fine fragments lose gas at a higher rate than coarser fragments during diffusive outgassing due to larger surface area to volume ratios. As the systems progress, larger fragments retain a higher proportion of gas and so attain greater vesicularities than finer ones – and therefore, the coarse fragmental pyroclasts experience a greater, yet transient, reduction in connected porosity and permeability. We suggest that where vesiculation is sufficient, it can lead to the complete loss of connected porosity and the sealing of permeable pathways much earlier than in a sintering-only system. Our results suggest that classical sintering models must be modified to account for these vesiculation and diffusive degassing processes, and that only a combined vesiculation, sintering, and diffusive outgassing model can resolve the evolution of permeability in hot clastic volcanic systems.

Cathode Surface Segregating Modification for Boosting Oxygen Reduction Reactions: Coupling Theory and Experiment in Proton Conducting Solid Oxide Fuel Cells (H-SOFCs)

The surface electrochemical catalysis reaction is complex due to the unpredictable surface morphology and severe reaction environment, especially for cathodes in proton conducting solid oxide fuel cells (H-SOFCs) where water vapor is generated and evaporated at a high operating temperature. The first-generation cathode materials (LaxSr1-xMO3-δ, M=Fe, Co, Mn) tend to have A-site cation segregation, and this segregation layer reduces the performance. Surface segregation phenomena tends to be ignored by computer simulations because surface termination is described as a highly crystallized layer, misleading the development of material computing science. Therefore, a combination of theory and surface investigation is essential for future work in this community. In this work, we use density functional theory (DFT) for designing a higher-performing cathode material, La0.35Bi0.15Sr0.5FeO3-δ (LBSF), for improvement of both bulk and surface electrochemical character in an intrinsic manner, predicting a candidate material with good performance that can be used in solid oxide proton conducting fuel cells (H-SOFCs). By combining a sensitive surface analysis technique, low energy ion scattering (LEIS), surface segregation is finely considered and determined that the particles are fully covered with a Sr segregation layer on the outer most surface. Aberration-Corrected transmission electron microscopy (ACTEM) is also applied and shows an amorphous structure at the particle edge. With the determination of this segregation layer, a reality-closed model is given, and related surface reactions are modelled based on this layer instead of a conventional cleaved, well-crystallized surface. Also, as bismuth diffuses towards the surface due to the lone pair effect, the segregation becomes an oxygen reduction reaction preferred layer instead of a blocking layer. After computational prediction and surface analysis, LBSF is successfully applied into H-SOFCs and shows excellent performance with a peak power density of 1630 mW cm−2 at 700 oC. In addition, long term stability tests were conducted to ensure stability in future commercial use, and the experimental results show that LBSF works stable under extremely high temperature operating environments. In addition, a full cell was stabilized for about 300 hours, indicating a potential commercial application in the future.

Study on the Modification of Silty Soil Sites Using Nanosilica and Methylsilicate.

The special particle grading properties of silt lead to the strong water sensitivity and low soil strength of silt sites, many of which are severely damaged and urgently need to be repaired. This article takes the powder soil from a certain burial site area in Xizhu Village, Luoyang as the research object, which is improved by adding nanosilica and potassium methylsilicate. The modified soil is studied through mechanical and waterproof performance tests, and the mechanism of action of the modified material is analyzed through SEM and XRD. The experimental results show that the mechanical properties and waterproof properties of the composite modified soil were improved when the nanosilica content was 2% and the potassium methylsilicate content was 0.5%; the durability of the composite modified soil is improved, making this the optimum ratio. The mechanical properties and water resistance of the silty soil were significantly improved by adding the appropriate amount of nanosilica and potassium methylsilicate. Nanosilica can be evenly dispersed in the soil matrix, absorb a small amount of water to form a gel state, fill the pores in the silt aggregates, and improve soil compactness. In addition, nanosilica aggregates can attach to the surface of the soil particles and extend from the particle surface to the particle edge. By increasing the contact between soil particles and increasing the particle size, the mechanical properties of the modified soil are improved. When potassium methylsilicate solution is added to the soil, it reacts with water and carbon dioxide, decomposes into methylsilicate, and quickly generates a polymethylsiloxane film to cover the surface of soil particles, forming a waterproof film on the surface and thereby improving the waterproof performance of modified soil. Our research results can provide a reference for the restoration and protection of silty and silt-like sites. The next step is to apply the composite modified soil in engineering restoration through field tests in order to study the repairing ability of composite modified soil and its actual protective effects.

Size controlled synthesis and fluorescence quenching behavior of N-CQDs based on molecular sieves

Tunable photoluminescence (PL) of carbon quantum dots (CQDs) strongly depends on the characteristics of particle size and edge chemistry. In this work, we report a very facile and effective method to separate nitrogen-doped CQDs (N-CQDs) by molecular sieves with different pore sizes through physical-chemical adsorption method. The N-CQDs-3.7 with target sizes of 1–3 nm and N-CQDs-8 with target sizes of 4–7 nm are rapidly obtained through the screening of MCM-41 and SBA-15, respectively. The microstructure and PL performance of the separated N-CQDs are explored by transmission electron microscopy, atomic force microscopy, Raman scattering spectrum, X-ray photoelectron spectroscopy, and PL spectroscopy. The two types of N-CQDs exhibit different pH responses and fluorescence quenching behaviors to aniline compounds and benzoic acid (BA). The N-CQDs-8 emits a stable green fluorescence at pH = 2–7, and exhibits an obvious PL quenching behavior to alkaline aniline compounds, especially the aromatic compounds with di-amine. On the opposite, the N-CQDs-3.7 illuminates a stable blue fluorescence at pH = 7–10, and displays a significant PL quenching for the acidic BA, representing a good linear relationship and high sensitivity. Meanwhile, the different pH responses and PL quenching performances are also discussed.

Electron density pedestal behaviour in strike-point sweeping experiment on JET

Strike-point sweeping, a technique often used to spread heat loads on divertor targets, was employed in JET experiments for the first time to generate an edge-localized modulated particle source for investigating plasma fuelling and particle transport in the edge region. This approach was motivated by the possibility of achieving higher modulation frequencies than those available from traditional gas puff modulation at JET. Higher frequencies would enable the collection of more edge-localized information from the electron density response to the modulated particle source. Various sweeping frequencies, up to 18.5 Hz, were commissioned and utilized in the experiments. Both strong and weak electron density responses were observed in H-mode plasmas, depending on the strike-point configuration and the distance the strike-points moved during the sweep cycle. The electron density response exhibited complex and unconventional behaviour (compared to gas puff modulation), which presented challenges for interpretation. In this study, we analyse one experiment in detail using an optimization framework in which transport and particle source parameters are determined by fitting our forward model parameters to the experimental electron density measurements. We demonstrate that a consistent picture emerges and that our approach can provide new insights into these complex data. However, we note that while strike-point sweeping generates the desired modulated edge-localized particle source, it also modifies the properties of the edge transport barrier. Therefore, the strike-point sweeping methodology is a promising but challenging way to study edge particle transport and edge fuelling properties, requiring very precise measurements.

Overview of meshfree modeling of the flowability of fresh self-compacting concrete for sustainable structures

The flow of Bingham non-Newtonian incompressible fluids like concrete is associated with the large deformation of materials. The modeling and simulation of these fluids’ flow behavior by using conventional numerical methods. suffer problem-formulation setbacks due to mesh distortion. In order to compensate for the mathematical inefficiencies encountered in the process, particle-based methods have evolved and been applied. Also, the use of some particle-based methods produces a stretch of unreliability due to the Eulerian algorithmic trail, which visits every particle edge allowing for revisiting vertices during its operation. This makes the model path cumbersome and time-consuming. Concrete flow is an important element of sustainable infrastructural development, and its understanding strengthens the efficiency of concrete handling and placement during construction activities. In this paper, a mesh-free method of modeling the flowability of self-compacting concrete (SCC) known as the smoothed particle hydrodynamics (SPH) has been reviewed. It derives its advantage from the Lagrangian algorithmic trail. This explores its merits and demerits in the concrete construction industry to propose the best practices for the passing ability, filling ability, and dynamic stability of the flowing fresh concrete (FFC)

Enhanced artificial intelligence for electrochemical sensors in monitoring and removing of azo dyes and food colorant substances.

It is necessary to determine whether synthetic dyes are present in food since their excessive use has detrimental effects on human health. For the simultaneous assessment of tartrazine and Patent Blue V, a novel electrochemical sensing platform was developed. As a result, two artificial azo colorants (Tartrazine and Patent Blue V) with toxic azo groups (-NN-) and other carcinogenic aromatic ring structures were examined. With a low limit of detection of 0.06 μM, a broad linear concentration range 0.09μM to 950μM, and a respectable recovery, scanning electron microscopy (SEM) was able to reveal the excellent sensing performance of the suggested electrode for patent blue V. The electrochemical performance of an electrode can be characterized using cyclic and differential pulse voltammetry, and electrochemical impedance spectroscopy. Moreover, the classification model was created by applying binary classification assessment using enhanced artificial intelligence comprises of support vector machine (SVM) and Genetic Algorithm (GA), respectively, a support vector machine and a genetic algorithm, which was then validated using the 50 dyes test set. The best binary logistic regression model has an accuracy of 83.2% and 81.1%, respectively, while the best SVM model has an accuracy of 90.3% for the training group of samples and 81.1% for the test group (RMSE=0.644, R2=0.873, C=205.41, and=5.992). According to the findings, Cu-BTC MOF (copper (II)-benzene-1,3,5-tricarboxylate) has a crystal structure and is tightly packed with hierarchically porous nanomaterials, with each particle's edge measuring between 20 and 37nm. The suggested electrochemical sensor's analytical performance is suitable for foods like jellies, condiments, soft drinks and candies.

S-shaped configurational magnetic states in mesoscale square permalloy particles

Experimental detection of multiple stable magnetic configurational states in isolated square permalloy particles of side length on the order of 200 nm is reported. The magnetic states are characterized using the anisotropic magnetoresistance via four-terminal resistance measurements of individual particles, and results are corroborated with micromagnetic simulations. The particles tend to relax into a ground state U-shaped “buckle” configuration at larger sizes and for an applied field swept parallel to the particle's edge, but assume an S-shaped configuration at smaller sizes and for slight variations in the applied field angle. The occurrence of this metastable state at room temperature indicates that typical models characterizing such particles in terms of energy landscapes or local effective fields may not be sufficient to accurately describe systems at this scale.

Experimental Study on the Effect of Partial Oxidation on the Microscopic Morphology of Soot Particles

Diesel engine exhaust pipes are in a high-temperature and high-oxygen environment; the carbon soot formed by fuel combustion will be partially oxidized, and its physicochemical properties will change significantly after oxidation. In order to study the effect law of partial oxidation on carbon soot particles emitted from automobiles, commercial carbon black samples (Printex-U carbon) were selected to replace actual carbon soot particles in this paper, and experiments were conducted on a fixed-bed catalytic oxidation device to obtain carbon soot particles with four oxidation rates by varying the time duration of oxygen introduction. Subsequently, the microstructure images of the corresponding carbon soot particles were obtained using TEM and measured after image processing with ImageJ software. The results showed that the average particle size, particle layer spacing, and distortion of carbon soot particles gradually decreased with the increase in oxidation rate. Moreover, the basic particle edge structure of carbon soot particles gradually blurred, the disordered structure inside the carbon soot particles increased, and the structure was destroyed or oxidized away with the gradual oxidation of the outer layer. Lastly, the density degree inside the particles gradually increased, the outer carbon layer arrangement became more regular, and the graphitization degree gradually became larger. The oxidation of carbon soot particles followed the contraction model and the internal oxidation model.

Emergent stripes of active rotors in shear flows

The shear-induced self-organization of active rotors into stripy aggregates is studied by carrying out computational simulations. The rotors, modeled by monolayers of frictional spheres, develop to stripy microstructures only when they counterrotate with respect to the vorticity of the imposed shear flow. The average width of the stripes is demonstrated to be linearly dependent on the relative intensity of active torque to the shear rate. By giving insight into three collective particle behaviors, i.e., shear-induced diffusion, rotation-induced rearrangement, and edge flows, we explain the mechanisms of formation of the particle stripes. Additionally, the rheological result shows the dependence of shear and rotational viscosities on the active torque direction and the oddness of the normal stress response. By exhibiting a collective phenomenon of active rotors, our study paves the way to understanding chiral active matter.

Study on formation mechanism of edge defects of high-volume fraction SiCp/Al composites by longitudinal-torsional ultrasonic vibration-assisted milling

SiCp/Al composites are a kind of particle-reinforced composite material, which has been widely used in various fields due to its excellent performance. However, during the machining, the damage and failure of the SiC particles, the aluminum matrix, and the interface phase will cause many surface and edge defects. These defects will seriously affect the application of SiCp/Al composites. In this paper, a finite element model of randomly distributed multi-cell SiCp/Al composites with longitudinal-torsional ultrasonic vibration-assisted milling was established to analyze the formation mechanism of edge defects of the material. The simulation results showed that the main reason for the formation of edge defects was that the interface, SiC particles, and the Al matrix will produce cracks during machining, and these cracks will propagate and cause particle breakage, matrix tearing, and edge gaps. According to different machined parameters, the ultrasonic vibration-assisted milling experiment was carried out. The test results showed that the actual processed workpiece does have defects such as edge gaps. The depth of cut and the feed per tooth had a serious influence on the edge defect value, while the cutting speed had a small effect. Moreover, under the condition of applying appropriate ultrasonic amplitude, the phenomenon of edge defects and the surface quality were significantly improved. Therefore, the application of ultrasonic vibration-assisted milling can improve the surface and edge quality of SiCp/Al composites.

Anodic coulometry of zero-valent iron nanoparticles

Nanoscale zero-valent iron (nZVI) particles are currently used for environmental remediation due to their ion sequester ability. This trait plus their magnetic behavior, and biocompatibility, makes them a promising alternative for heavy metal poisoning treatment, development of MRI dye, and drug delivery loads, among others. Their rapid passivation in aqueous media inhibit their differentiation from magnetite (Fe 3 O 4 ) by electrochemical methods, due to its surface oxide. Herein, this work is focused on applying the electrochemical method known as anodic particle coulometry (APC) to detect and characterize nZVI. During the experiments, current blips are observed as a result of a current increase when the electroactive nZVI particle reaches the Au working ultra-microelectrode surface. The integration of current blips resulted in a charge distribution between 4 pC and 5 pC, which correlates with nanoparticles in a size range between 70 nm and 100 nm. The size distribution obtained were compared to the size distribution found using scanning transmission electron microscopy (STEM) and nanoparticle tracking analysis (NTA). The results were compatible with the results obtained by the other two techniques. Characterization of nZVI particles using x-ray photoelectron spectroscopy (XPS) and electron energy loss spectroscopy (EELS) validate the presence of elemental iron which differentiates the material from magnetite. A chemical shift of ca. 1 eV from metallic iron to iron oxide (L 3 : 708 eV and L 2 : 721.2 eV versus L 3 : 709 eV and L 2 : 722.2 eV) is observed from EELS at nZVI particle center and edge, respectively. This suggests the presence of a passivated surface and a metallic core, a metallic core and oxide shell structure.

Modulation of soft glassy dynamics in aqueous suspensions of an anisotropic charged swelling clay through pH adjustment

HypothesisSodium-montmorillonite (Na-Mt) particles are geometrically anisometric that carry a pH dependent anisotropic surface charge. Therefore, it should be possible to manipulate the particle–particle interaction of colloidal range Na-Mt suspensions through pH changes which in turn should alter the soft glassy dynamics of Na-Mt suspensions. ExperimentsRheological experiments were used to probe the impact of pH mediated colloidal particle–particle interaction on the physical aging, linear viscoelastic response, and yield stress behavior of Na-Mt suspension. FindingsThe temporal evolution of the storage modulus (G') was stronger in the acid regime (pH < 9.5) than the base (pH ≥ 9.5) pH regime. Horizontal shifting of the aging curves in the acid and base regimes led to aging time–H+ concentration and aging time–OH– concentration superposition. An aging time–Na-Mt concentration superposition was also observed in both pH regimes. The critical stress associated with the viscosity bifurcation behavior increased linearly with G' but with different slopes for acid and base regime. We propose that positively charged patches on the Na-Mt particle edge merge with the characteristic surface as a function of H+ ions in the system. This leads to a strongly associated microstructure at low pH and a relatively weak but associated microstructure at natural pH, hence confirming the hypothesis.

Guided accumulation of active particles by topological design of a second-order skin effect

Collective guidance of out-of-equilibrium systems without using external fields is a challenge of paramount importance in active matter, ranging from bacterial colonies to swarms of self-propelled particles. Designing strategies to guide active matter and exploiting enhanced diffusion associated to its motion will provide insights for application from sensing, drug delivery to water remediation. However, achieving directed motion without breaking detailed balance, for example by asymmetric topographical patterning, is challenging. Here we engineer a two-dimensional periodic topographical design with detailed balance in its unit cell where we observe spontaneous particle edge guidance and corner accumulation of self-propelled particles. This emergent behaviour is guaranteed by a second-order non-Hermitian skin effect, a topologically robust non-equilibrium phenomenon, that we use to dynamically break detailed balance. Our stochastic circuit model predicts, without fitting parameters, how guidance and accumulation can be controlled and enhanced by design: a device guides particles more efficiently if the topological invariant characterizing it is non-zero. Our work establishes a fruitful bridge between active and topological matter, and our design principles offer a blueprint to design devices that display spontaneous, robust and predictable guided motion and accumulation, guaranteed by out-of-equilibrium topology.

Edge selectively oxidized graphene on carbonyl iron composites for microwave absorption and radar cross-section performance at X- and Ku-band

This study examined the microwave absorption properties of graphene oxide-carbonyl iron particle (GOCIP) composites and edge selectively oxidized graphene-CIP (EOGCIP) composites with a variation of graphene contents. Due to the addition of selectively oxidized graphene (EOG) to CIP, the resultant EOGCIP composites revealed excellent electromagnetic (EM) absorption properties. Significantly, the minimum reflection loss (RLmin) of −45.37 dB at 10 GHz with a bandwidth (BW@−10 dB) of 4.08 GHz with a thickness of 1.52 mm observed for EOG (5.0 wt%)CIP (72 wt%) composite. Moreover, the highest value of RLmin reached −69.27 dB at 15 GHz with BW@−10 dB beyond 6.47 GHz with a thickness of only 1.33 mm for EOG (0.5 wt%)CIP (72 wt%) composite. In addition, the EOGCIP composites revealed the most robust reduction in the radar cross-section value of approximately 35 dBsm against that of Al flat plate with the same physical area. The EM absorption properties of EOGCIP composites were enhanced compared to those of GOCIP and CIP composites. The increasing content of EOG tunes the dielectric properties of EOGCIP composites to attain proper impedance matching. Moreover, the unique structure of EOG can induce dipolar and interfacial polarization, which increases the dielectric loss in synchronization with magnetic loss resulting in enhanced EM absorption properties. This study suggests a new approach for controlling the EM absorption properties, essentially in the X-band region, which is worthwhile for radar absorption materials (RAM) applications.

A Two-Step Phenotypic Parameter Measurement Strategy for Overlapped Grapes under Different Light Conditions.

Phenotypic characteristics of fruit particles, such as projection area, can reflect the growth status and physiological changes of grapes. However, complex backgrounds and overlaps always constrain accurate grape border recognition and detection of fruit particles. Therefore, this paper proposes a two-step phenotypic parameter measurement to calculate areas of overlapped grape particles. These two steps contain particle edge detection and contour fitting. For particle edge detection, an improved HED network is introduced. It makes full use of outputs of each convolutional layer, introduces Dice coefficients to original weighted cross-entropy loss function, and applies image pyramids to achieve multi-scale image edge detection. For contour fitting, an iterative least squares ellipse fitting and region growth algorithm is proposed to calculate the area of grapes. Experiments showed that in the edge detection step, compared with current prevalent methods including Canny, HED, and DeepEdge, the improved HED was able to extract the edges of detected fruit particles more clearly, accurately, and efficiently. It could also detect overlapping grape contours more completely. In the shape-fitting step, our method achieved an average error of 1.5% in grape area estimation. Therefore, this study provides convenient means and measures for extraction of grape phenotype characteristics and the grape growth law.

Numerical Analysis of Deformation Behavior and Interface Bonding of Ti6Al4V Particle After Subsequent Impact During Cold Spraying

During cold-spraying processes, the deposited particles play a crucial role owing to the subsequent particle collisions with surface. Herein, using finite-element modeling, we numerically analyze the particle behavior under three models: impact of a single Ti6Al4V (TC4) particle, deposited particle hammered by a subsequent TC4 particle, and deposited particle impacted by a large shot peening particle (SP). For the single TC4 particle case, the particle deformation was limited and maximum interface temperature of the particle was lower than its melting point. The high-temperature region was mainly distributed in a limited area near the particle edge. Meanwhile, for subsequent impact in the second TC4 particle case, the upper half of previously deposited particle was deformed, although the change in maximum interface temperature was minimal. However, for particles subsequently impacted by large peening particle, the deformation of previously deposited TC4 particles increased significantly, and the temperature, both adjacent to and opposite the interface, exceeded the melting point of the titanium alloy in a large surface area, indicating that localized interfacial melting has occurred. In the third case, the change in interface temperature, stress, and energy with time, along with the experimental results, suggests that the bond between the particle and substrate enhanced.

Tracking and grasping of moving target based on accelerated geometric particle filter on colored image

Visual tracking and grasping of moving object is a challenging task in the field of robotic manipulation, which also has great potential in applications such as human-robot collaboration. Based on the particle filtering framework and position-based visual servoing, this paper proposes a new method for visual tracking and grasping of randomly moving objects. A geometric particle filter tracker is established for visual tracking. In order to deal with the tracking efficiency issue for particle filter, edge detection and morphological dilation are employed to reduce the computation burden of geometric particle filtering. Meanwhile, the HSV image feature is employed instead of the grayscale feature to improve the tracking algorithm’s robustness to illumination change. A grasping strategy combining tracking and interception is adopted along with the position-based visual servoing (PBVS) method to achieve stable grasp of the target. Comprehensive comparisons on open source dataset and a large number of experiments on real robot system are conducted, which demonstrate the proposed method has competitive performance in random moving object tracking and grasping.