Characterization of grinding wheel grain topography under different robotic grinding conditions using confocal microscope

Tahvilian, Amir Masoud; Liu, Zhaoheng; Champliaud, Henri; Hazel, Bruce; Lagacé, Marin

doi:10.1007/s00170-015-7109-z

Cited by 21 publications

(3 citation statements)

References 17 publications

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“…The other method is to randomly generate the position matrix of the abrasive-grains distributed on the grinding-wheel using a computer. Generally, the abrasive-grains are simplified as spheres ignoring the complexity of their shape [26][27][28][29]. From a mathematical viewpoint, these abrasive-grains are a set of points with an average distribution in the two-dimensional direction of the wheel surface, and the distances between the grains obey an even distribution [30] in the radial direction.…”

Section: Simulation Of the Workpiece Grinding Surfacementioning

confidence: 99%

A Novel Approach for Surface Topography Simulation Considering the Elastic-Plastic Deformation of a Material During a High-precision Grinding Process

Chen

Jin

2022

Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications

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A novel simulation approach for 3D surface topography that considers the elastic-plastic deformation of workpiece material during a high-precision grinding process is presented in this paper. First, according to the kinematics analysis for the abrasive grain during the grinding process, the motion trajectory of the abrasive grain can be calculated. Second, the kinematic interaction between the workpiece and the abrasive grains can be established, which integrates the elastic-plastic deformation effect on the workpiece material with the topography, the simulation results are more realistic, and the simulation precision is much higher. Finally, based on an improved surface applied to the grinding wheel, the surface topography of the workpiece is formed by continuously iterating overall motion trajectories from all active abrasive-grains in the process of high-precision grinding. Both the surface topography and the simulated roughness value of this work are found to agree well with those obtained in the experiment. Based on the novel simulation method in this paper, a brand-new approach to predict the quality of the grinding surface by providing machining parameters, selecting effective machining parameters, and further optimizing parameters for the actual plane grinding process, is provided.

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Section: Simulation Of the Workpiece Grinding Surfacementioning

confidence: 99%

A Novel Approach for Surface Topography Simulation Considering the Elastic-Plastic Deformation of a Material During a High-precision Grinding Process

Chen

Jin

2022

Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications

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“…Other reported papers [15][16][17][18] have attempted to measure the topography of the grinding wheel in terms of the distribution of grits (numbers and size). The reported measurement methods of grinding wheel topography can be divided into contact mode and non-contact mode categories [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Elastic recovery of monocrystalline silicon during ultra-fine rotational grinding

Ning

Yan

Zhou

et al. 2020

Precision Engineering

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Micromachining of brittle materials like monocrystalline silicon to obtain deterministic surface topography is a 21 st Century challenge. As the scale of machining has shrunk down to sub-micrometre dimensions, the undulations in the machined topography start to overlap with the extent of elastic recovery (spring back) of the workpiece, posing challenges in the accurate estimation of the material's elastic recovery effect. The quantification of elastic recovery is rather complex in the grinding operation due to (i) randomness in the engagement of various grit sizes with the workpiece as well as (ii) the high strain rate employed during grinding as opposed to single grit scratch tests employed in the past at low strain rates. Here in this work, a method employing inclination of workpiece surface was proposed to quantify elastic recovery of silicon in ultra-fine rotational grinding. The method uniquely enables experimental extraction of the elastic recovery and tip radius of the grits actively engaged with the workpiece at the end of the ultra-fine grinding operation. The proposed experimental method paves the way to enable

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“…It is also a vital technology for producing parts made of hard and brittle materials. Grinding is a complicated process viewed as the combination of several micro-machining processes performed by individual abrasive grits in the wheel [3]. The performance of ground parts is sensitive to the surface quality determined by the action of abrasive grits.…”

Section: Introductionmentioning

confidence: 99%

Wheel wear-related instability in grinding of quartz glass

Wang

Zhou

Pan

et al. 2021

Int J Adv Manuf Technol

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Characterization of grinding wheel grain topography under different robotic grinding conditions using confocal microscope

Cited by 21 publications

References 17 publications

A Novel Approach for Surface Topography Simulation Considering the Elastic-Plastic Deformation of a Material During a High-precision Grinding Process

A Novel Approach for Surface Topography Simulation Considering the Elastic-Plastic Deformation of a Material During a High-precision Grinding Process

Elastic recovery of monocrystalline silicon during ultra-fine rotational grinding

Wheel wear-related instability in grinding of quartz glass

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