Optical glass grinding wheel modeling and grinding simulation technology

2021 ◽  
Author(s):  
Zhibin Wang ◽  
Mingyin Jiao ◽  
Feng Zhang ◽  
yunlong Zhang ◽  
Zheng Zhang
Keyword(s):  
Optical Glass ◽  
Grinding Wheel ◽  
Simulation Technology ◽  
Grinding Simulation

Parametric Study of Micro Machining Three Dimensional Microstructure with the Tiny-Grinding Wheel Based on the EMR Effect

2010 ◽  
Vol 447-448 ◽  
pp. 193-197
Author(s):  
Wei Qiang Gao ◽  
Qiu Sheng Yan ◽  
Yi Liu ◽  
Jia Bin Lu ◽  
Ling Ye Kong
Keyword(s):  
Magnetic Field ◽  
Material Removal Rate ◽  
Feed Rate ◽  
Material Removal ◽  
Rotation Speed ◽  
Optical Glass ◽  
Removal Rate ◽  
Grinding Wheel ◽  
Machining Time ◽  
Fluctuation Phenomenon

Electro-magneto-rheological (EMR) fluids, which exhibit Newtonian behavior in the absence of a magnetic field, are abruptly transformed within milliseconds into a Bingham plastic under an applied magnetic field, called the EMR effect. Based on this effect, the particle-dispersed EMR fluid is used as a special instantaneous bond to cohere abrasive particles and magnetic particles together so as to form a dynamical, flexible tiny-grinding wheel to machine micro-groove on the surface of optical glass. Experiments were conducted to reveal the effects of process parameters, such as the feed rate of the horizontal worktable, feeding of the Z axis, machining time and machining gap, on material removal rate of glass. The results indicate that the feed rate of the worktable at horizontal direction has less effect on material removal rate, which shows a fluctuation phenomenon within a certain range. The feed rate of the Z axis directly influences the machining gap and leads to a remarkable change on material removal rate. Larger material removal rate can be obtained when the feeding frequency of Z direction is one time per processing. With the increase of rotation speed of the tool, material removal rate increases firstly and decreases afterwards, and it gets the maximum value with the rotation speed of 4800 rev/min. The machining time is directly proportional to material removal amount, but inversely proportional to material removal rate. Furthermore, material removal rate decreases with the increase of the machining gap between the tool and the workpiece. On the basis of above, the machining mode with the tiny-grinding wheel based on the EMR effect is presented.

scholarly journals Theoretical and Experimental Study on Hot-Embossing of Glass-Microprism Array without Online Cooling Process

Micromachines ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 984
Author(s):  
Manfeng Hu ◽  
Jin Xie ◽  
Wei Li ◽  
Yuanhang Niu
Keyword(s):  
Thermal Stress ◽  
Strain Rate ◽  
Deformation Behavior ◽  
Optical Glass ◽  
Low Cost ◽  
Hot Embossing ◽  
Control Device ◽  
Grinding Wheel ◽  
Cooling Process ◽  
Low Strain Rate

Optical glass-microprism arrays are generally embossed at high temperatures, so an online cooling process is needed to remove thermal stress, but this make the cycle long and its equipment expensive. Therefore, the hot-embossing of a glass-microprism array at a low strain rate with reasonable embossing parameters was studied, aiming at reducing thermal stress and realizing its rapid microforming without online cooling process. First, the flow-field, strain-rate, and deformation behavior of glass microforming were simulated. Then, the low-cost microforming control device was designed, and the silicon carbide (SiC) die-core microgroove array was microground by the grinding-wheel microtip. Lastly, the effect of the process parameters on forming rate was studied. Results showed that the appropriate embossing parameters led to a low strain rate; then, the trapezoidal glass-microprism array could be formed without an online cooling process. The standard deviation of the theoretical and experimental forming rates was only 7%, and forming rate increased with increasing embossing temperature, embossing force, and holding duration, but cracks and adhesion occurred at a high embossing temperature and embossing force. The highest experimental forming rate reached 66.56% with embossing temperature of 630 °C, embossing force of 0.335 N, and holding duration of 12 min.

On-Machine Measurement and Statistical Analysis of Wheel Wear after Grinding Optical Glass

2011 ◽  
Vol 325 ◽  
pp. 653-658
Author(s):  
Peng Yao ◽  
Takeshi Matsuda ◽  
Tian Feng Zhou ◽  
Ji Wang Yan ◽  
Tunemoto Kuriyagawa ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Optical Glass ◽  
Fused Silica ◽  
Grinding Wheel ◽  
Wheel Wear ◽  
Optical Glasses ◽  
3D Surface Roughness ◽  
Wheel Topography ◽  
Surface Topographies ◽  
Long Time

On-machine measurement and statistical analysis of wheel topography are important for real-time monitoring the wheel condition during grinding and predicting the performance of grinding process. In this paper, the surface topographies of grinding wheel in the different stages of the grinding of fused silica and BK7weremeasured with a white light interferometer, which was set on the surface grinder. Height parameters of 3D surface roughness were proposed to evaluate the wheel wear. Wheel wear mechanisms were essentially determined by analyzing the different material removal modes of optical glasses. Grinding of BK7 mainly causes severe attritious wear of grains, while grinding fused silica, self-sharpening effect makes grinding sustain for a long time.

Effect of Grinding Wheel Diameter Change on Geometrical Parameters of Ball-Nose End Mill

2010 ◽  
Vol 97-101 ◽  
pp. 4527-4529 ◽  
Author(s):  
Lin He ◽  
L.M. Sun ◽  
Xian Feng Zhao ◽  
Jun Wang
Keyword(s):  
Visual Basic ◽  
Rake Angle ◽  
Simulation System ◽  
Grinding Wheel ◽  
Geometrical Parameters ◽  
Rake Face ◽  
End Mill ◽  
Visual Basic For Applications ◽  
Grinding Simulation ◽  
Diameter Change

The grinding simulation system of ball-nose end mill rake face is developed based on the four axis linkage mathematical model using Solidworks and Visual Basic for Applications (VBA). Effects of grinding wheel diameter change due to wear on geometrical parameters of ball-nose end mill, such as ball-nose rake angle, column rake angle and edge strip width are investigated.

A Study of Micro Machining with Instantaneous Tiny-Grinding Wheel Based on the Fe3O4 Magnetorheological Fluid

2007 ◽  
Vol 359-360 ◽  
pp. 389-393 ◽  
Author(s):  
Jia Bin Lu ◽  
Qiu Sheng Yan ◽  
Juan Yu ◽  
Hong Tian ◽  
Wei Qiang Gao
Keyword(s):  
Magnetic Particles ◽  
Optical Glass ◽  
Synergetic Effect ◽  
Maximum Diameter ◽  
Grinding Wheel ◽  
Micro Machining ◽  
Mr Fluid ◽  
Mr Fluids ◽  
Short Fibres ◽  
Machining Characteristics

In this study, Fe3O4 particles were used as magnetic particles to form Fe3O4 magnetorheological (MR) fluid, and experiments were conducted to polish optical glass using this Fe3O4 MR fluid. The machining characteristics of glass surface with different MR fluids that are added diamond abrasives and short fibres are studied. Experimental results indicate that the tiny-grinding wheel based on the Fe3O4 MR fluid can effectively polish optical glass and that the maximum diameter and depth of machined region increase obviously in the presence of diamond abrasives and short fibres. When both of diamond particles and short fibres are added to the Fe3O4 MR fluid, the removal efficiency of the tiny-grinding wheel is markedly enhanced due to the synergetic effect of diamond abrasives and fibres.

Simulation of Grinding Wheel with Random Three-Dimensional Abrasive and Microporous Bond

2011 ◽  
Vol 487 ◽  
pp. 209-214
Author(s):  
J.Q. Zhang ◽  
Peng Guan ◽  
Chong Su ◽  
T.B. Yu ◽  
Wan Shan Wang
Keyword(s):  
Simulation Model ◽  
Simulation Modeling ◽  
Abrasive Particle ◽  
Three Dimensional ◽  
Industrial Process ◽  
Modeling Method ◽  
Grinding Wheel ◽  
Random Shape ◽  
Wheel Surface ◽  
Grinding Simulation

Be different from traditional simulation modeling method, in this paper, a random shape and distribution polyhedrons abrasive modeling method has been developed which simulation model is similar to the grinding wheel surface topography. Imitated the industrial process of abrasive production cutting, the characteristics of random distribution in the space and anisotropic of the abrasive particle shape on grinding wheel surface was also considered. A random geometry abrasive solid simulation model was developed which used random segmentation plane. Simulation modeling of grinding wheel in the past often overlooked component accounts for a large volume of wheel porous factors. Therefore, this article considered the random shape and position of the distribution of the abrasive and porous in grinding wheel bond of the simulation model, a random abrasive shape and porous distribute model was founded. It provides a meaningful model for the depth study of three-dimensional grinding simulation technology. Finally, grinding simulation results verified the reliability of the model.

A Novel Method for Kinematic Optimization of Camshaft Non-Circular Grinding

2013 ◽  
Vol 690-693 ◽  
pp. 3253-3257
Author(s):  
Jing Li ◽  
Wei Zhang ◽  
Nan Yan Shen ◽  
Xin Ling Wang
Keyword(s):  
Grinding Wheel ◽  
Rough Machining ◽  
Cam Profile ◽  
Novel Method ◽  
Grinding Technique ◽  
Different Diameters ◽  
Grinding Efficiency ◽  
Profile Accuracy ◽  
Kinematic Optimization ◽  
Grinding Simulation

A novel non-circular grinding technique which utilizes two grinding wheels of different diameters is proposed for the locomotive camshaft with concave curves. The larger grinding wheel is used for rough machining to increase grinding efficiency and the smaller is used for finish machining to form the cam profile accurately. Based on the analysis of motion law of grinding carriage and headstock, the speed and acceleration curves are reconstructed by three different methods to optimize kinematic characteristics of cam non-circular grinding. Simulation and experimental results show that the profile accuracy and surface quality can be improved effectively through kinematic optimization by reconstructing the acceleration curves with cosine curves.

Analysis of the Optical Quartz Lens Centering Process Based on Acoustic Emission Signal Processing and the Support Vector Machine

2021 ◽  
Author(s):  
Chun-Wei Liu ◽  
Shiau-Cheng Shiu ◽  
Kai-Hung Yu
Keyword(s):  
Support Vector Machine ◽  
Acoustic Emission ◽  
Optical Glass ◽  
Removal Rate ◽  
Support Vector ◽  
Grinding Wheel ◽  
Emission Signal ◽  
Sensing Technology ◽  
Acoustic Emission Sensing ◽  
Circularity Error

Abstract A method was proposed for analyzing the optical glass lens centering process, and experiments on biplane quartz lenses were performed to determine the material removal rate (MRR) for the hard, brittle material. This study used acoustic emission–sensing technology to monitor the MRR and reconstruct the original shape of the lens. The MRR was evaluated, and an error of 17.87% was obtained. A Taguchi experiment was combined with signal analysis to optimize the process parameters, and a support-vector machine was trained to classify the quality of the grinding wheel; the model had accuracy 98.8%. By using the proposed analysis method, workpiece quality was controlled to an edge surface roughness of <2 μm, a lens circularity error of <0.01 mm, a crack length of <E0.1, and an optical axis error of <150 μrad.

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