Study of subsurface damage of monocrystalline nickel in nanometric grinding with spherical abrasive grain

Ren, Jie; Hao, MingRui; Liang, Guoxing; Wang, Shiying; Liu, Ming

doi:10.1016/j.physb.2019.02.012

Cited by 14 publications

(6 citation statements)

References 26 publications

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“…As shown, the material removal ratio increases with the speed and grinding force of the belt, but decreases with the mesh number. In particular, when the belt speed rises, the area of contact between the abrasive belt and the workpiece expands, increasing the amount of grinding [25]. As the grinding force increases, the friction between the contact wheel and the grinding area of the workpiece also increases.…”

Section: Resultsmentioning

confidence: 99%

Predictive Modeling and Analysis of Material Removal Characteristics for Robotic Belt Grinding of Complex Blade

Jia

Lu²,

Cai³

et al. 2022

Preprint

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High-performance grinding has been converted from traditional manual grinding to robotic grinding over recent years. Accurate material removal is challenging for workpieces with complex profiles. Over recent years, digital processing of grinding has shown its great potential in the optimization of manufacturing processes and operational efficiency. Thus, quantification of the material removal process is an inevitable trend. This research establishes a three-dimensional model of the grinding workstation and designs the blade back arc grinding trajectory. A prediction model of the blade material removal rate (MRR) is established based on the Adaptive Neuro-Fuzzy Inference System (ANFIS). Experiments are carried out using the Taguchi method to investigate how certain elements might affect the outcomes. An Analysis of Variance (ANOVA) is used to study the effect of abrasive belt grinding characteristics on blade material removal. The mean absolute percent error (MAPE) of the established ANFIS model after training and testing is 3.976%, demonstrating superior performance to the reported findings, which range from 4.373 to 7.96%. ANFIS exhibits superior outcomes when compared to other prediction models, such as random forest(RF), artificial neural network (ANN), and support vector regression (SVR). This work can provide some sound guidance for high-precision prediction of material removal amounts from surface grinding of steam turbine blades.

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Section: Resultsmentioning

confidence: 99%

Predictive Modeling and Analysis of Material Removal Characteristics for Robotic Belt Grinding of Complex Blade

Jia

Lu²,

Cai³

et al. 2022

Preprint

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“…The region of Newtonian atoms represents the main bulk of the workpiece, which is assumed to be deformable and atoms are allowed to move according to forces produced by their interaction with other atoms of the substrate or the atoms of the abrasive grains. The region of thermostat atoms is related to the regulation of workpiece temperature and dissipation of excessive heat by rescaling the velocity of these atoms [ 22 ] and finally, the region of fixed boundary atoms is essential to avoid rigid body motion and reduce the boundary effects. Moreover, periodic boundary conditions are imposed on the workpiece boundaries on the YZ planes.…”

Section: Methodsmentioning

confidence: 99%

“…They showed that, increase of grinding speed was able to reduce the damage layer depth and cutting forces, whereas friction coefficient increased with a large grinding depth. Ren et al [ 22 ] performed nanogrinding simulations of monocrystalline nickel with a spherical abrasive grain and determined the effect of process parameters such as grinding speed, depth of cut, and abrasive grain radius on subsurface damage. At lower grinding speeds, stacking faults were formed in the substrate which were reduced in size gradually at higher grinding speeds and eventually vanished at 400 m/s.…”

Section: Introductionmentioning

confidence: 99%

Molecular Dynamics Study of the Effect of Abrasive Grains Orientation and Spacing during Nanogrinding

Karkalos

Markopoulos

2020

Micromachines

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Grinding at the nanometric level can be efficiently employed for the creation of surfaces with ultrahigh precision by removing a few atomic layers from the substrate. However, since measurements at this level are rather difficult, numerical investigation can be conducted in order to reveal the mechanisms of material removal during nanogrinding. In the present study, a Molecular Dynamics model with multiple abrasive grains is developed in order to determine the effect of spacing between the adjacent rows of abrasive grains and the effect of the rake angle of the abrasive grains on the grinding forces and temperatures, ground surface, and chip formation and also, subsurface damage of the substrate. Findings indicate that nanogrinding with abrasive grains situated in adjacent rows with spacing of 1 Å leads directly to a flat surface and the amount of material remaining between the rows of grains remains minimal for spacing values up to 5 Å. Moreover, higher negative rake angle of the grains leads to higher grinding forces and friction coefficient values over 1.0 for angles larger than −40°. At the same time, chip formation is suppressed and plastic deformation increases with larger negative rake angles, due to higher compressive action of the abrasive grains.

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“…According to the literature [25], the degree of atomic deformation can be reflected by a change in the atomic potential energy, and then the depth of the subsurface damage layer can be calculated. To calculate the depth of the subsurface deformation layer, in each model, 20 atoms were selected into a group and located directly below the tool in the workpiece [26] for a total of five groups, as shown in figure 8(a).…”

Section: Subsurface Damagementioning

confidence: 99%

Effect of different crystal orientations on the surface integrity during nanogrinding of monocrystalline nickel

Ren¹,

Liang²,

Liu³

2019

Modelling Simul. Mater. Sci. Eng.

Self Cite

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During nanofabrication, the processing of different crystal faces along the surface of a workpiece varies because of size effects. The burr height and subsurface damage during nanogrinding of different crystal orientations in monocrystalline nickel are simulated by molecular dynamics in this study. The burr height and depth of the subsurface deformation layer are calculated quantitatively by atomic displacement, common neighbor analysis and dislocation analysis techniques. Among the directions considered in this paper, the burr height is the smallest when grinding in the (110)[110] direction, and the depth of the subsurface deformation layer is small when grinding along the (111) plane. This study demonstrates the effect of different slip paths on burr height and provides a reference for the actual processing of face-centered cubic crystals.

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Study of subsurface damage of monocrystalline nickel in nanometric grinding with spherical abrasive grain

Cited by 14 publications

References 26 publications

Predictive Modeling and Analysis of Material Removal Characteristics for Robotic Belt Grinding of Complex Blade

Predictive Modeling and Analysis of Material Removal Characteristics for Robotic Belt Grinding of Complex Blade

Molecular Dynamics Study of the Effect of Abrasive Grains Orientation and Spacing during Nanogrinding

Effect of different crystal orientations on the surface integrity during nanogrinding of monocrystalline nickel

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