Surface Roughness Tuning at Sub-Nanometer Level by Considering the Normal Stress Field in Magnetorheological Finishing

Li, Xiaoyuan; Li, Qikai; Ye, Zuoyan; Zhang, Yunfei; Ye, Minheng; Wang, Chao

doi:10.3390/mi12080997

Cited by 10 publications

(9 citation statements)

References 22 publications

(23 reference statements)

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“…Here, ε 1 and ε 2 are the dielectric constants of the MRF and test tube, respectively; l is the height of the copper ring; R i and R o are the inner and outer diameters of the test tube, respectively; R is the radius of the copper core. Equation (6) shows that the capacitance of the sensor is positively correlated with the dielectric constant (and hence, the particle concentration) of MRF. Therefore, change in capacitance can quantitatively indicate the sedimentation of MRF, allowing for the measurement and evaluation of the suspension stability of MRF.…”

Section: Principle Of Capacitive Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A capacitive method and experiment for measurement of sedimentation of magnetorheological fluid

Xie,

Li,

Yang

et al. 2023

Smart Mater. Struct.

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Sedimentation is one of the key issues in the practical engineering applications of magnetorheological fluids (MRFs). Testing and evaluation of the suspension stability of MRFs should be a prerequisite procedure before their applications. There are a few reported methods of measurement of sedimentation of MRFs. The opaque zone below the mudline, especially the sediment zone at the bottom in the MRF column, is the true key factor that affects the applications of MRF due to the possible irreversibility caused by the caking of the sediment zone. This study proposes a novel capacitive method on the basis of the change in dielectric constant resulting from the change in concentration of the magnetic metal particles of MRF upon sedimentation. First, an analytic model was established to present a positive correlation between the dielectric constant and volume fraction of particles throughout the entire MRF column and the theoretical expression of the dielectric constant of MRF in a test tube was obtained. Second, a capacitive sensor and the relevant experimental set-up were designed and fabricated. Especially, the effect of eccentricity error of the capacitor sensor structure on the measuremnt was analyzed. Then, a sedimentation experiment for prepared MRF samples was carried out, and the testing results were discussed and verified by a visual mudline observation of the supernatant zone, indicating the feasibility of testing and evaluating the suspension stability of MRF by the capacitive method.

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Section: Principle Of Capacitive Methodsmentioning

confidence: 99%

“…In 1948, Rabinow [1] invented a smart material called magnetorheological fluids (MRFs hereinafter), which consists of advantages, MRF has broad applications in fields such as vehicles [2][3][4], polishing [5][6][7][8], vibration isolation [9][10][11], mechanical transmission [12], military, and aerospace [13].…”

Section: Introductionmentioning

confidence: 99%

A capacitive method and experiment for measurement of sedimentation of magnetorheological fluid

Xie,

Li,

Yang

et al. 2023

Smart Mater. Struct.

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“…Besides, some researchers have studied the normal stresses of special magnetorheological materials such as magnetorheological gels, magnetorheological foams and magnetorheological greases, and tried to give explanations from a microscopic point of view corresponding to the experimental results [18][19][20]. Recently, Li used a combination of theoretical calculations and experimental tests to preliminarily analyze the effects of the normal force on the magnetorheological finishing [21].…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis for the normal force of magnetorheological fluids

Zheng,

Lin

et al. 2023

Mater. Res. Express

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As one of the most important mechanical parameters of magnetorheological fluids (MRF), the normal force has been studied by a large number of researchers using various experimental equipment and methods. However, it is difficult to reveal the effects of particle microstructure characteristics on the normal force of MRF by experimental methods, especially for such factor as the particle size distribution. To advance this research area, a numerical method for calculating the normal force of MRF is proposed in this study. The accuracy of the simulation model is verified with the experimental results measured by a plate-plate magnetorheometer. The results show that the simulated values agree well with the experimental data, which indicates the feasibility of calculating the normal force of MRF using numerical methods and provides a new research idea for a more intuitive and comprehensive analysis of the normal force characteristics of MRF. Besides, the simulated data show that the increase in magnetic field intensity and particle volume fraction will sufficiently enhance the normal force of MRF and improve the response time of MRF. For the MRF with the same particle volume fraction, a decline in the average particle diameter will increase the normal force. Moreover, increasing the dispersion of particle size of MRF particles can also improve its normal force.

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“…Wenwen Liu passivated the micron defects on the surface of fused silica optics using MRF and chemical etching techniques, and the laser damage threshold of the optics could reach 14 J/cm 2 [ 18 ]. Xiaoyuan Li established the correlation between the stress and surface roughness during the MRF polishing process of fused silica optics and verified that the MRF technique can significantly reduce the surface roughness of components [ 19 ]. As an efficient machining method, the MRF technique was used to remove the surface defects and improve the surface quality of fused silica optics.…”

Section: Introductionmentioning

confidence: 99%

Study on the Repair Technology of Laser Damage-Fused Silica Optics Based on the Neural Network Method

et al. 2022

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As a key component of a high-power laser device, fused silica optics needs to bear great laser energy, and laser damage is easily generated on the optical surface. In order to improve the service life and availability of optics, it is necessary to repair the damaged optics. In this work, the repair technique of damaged, fused silica optics was studied. The neural network method was mainly used to establish the correlation between the number of small-scale damage points and the repair depth. The prediction accuracy of the model is better than 90%. Based on the neural network model, the removal depth parameters were optimized with the suppression coefficient of the damage points. The processing effect of the optimized parameters was verified by magnetorheological polishing experiments. In this paper, a repair technique based on a neural network was proposed, which avoids the low efficiency caused by processing iterations in the repair process, and can accurately what was expected. The method proposed in this work has an important reference value in the repair process of fused silica optics.

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Surface Roughness Tuning at Sub-Nanometer Level by Considering the Normal Stress Field in Magnetorheological Finishing

Cited by 10 publications

References 22 publications

A capacitive method and experiment for measurement of sedimentation of magnetorheological fluid

A capacitive method and experiment for measurement of sedimentation of magnetorheological fluid

Numerical analysis for the normal force of magnetorheological fluids

Study on the Repair Technology of Laser Damage-Fused Silica Optics Based on the Neural Network Method

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