Simulation and analysis of grinding wheel based on Gaussian mixture model

Chi, Yulun; Li, Haolin

doi:10.1007/s11465-012-0350-3

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…GW topography was measured using a confocal scanning laser microscope [10], and the results indicated that GW surface was non-Gaussian in nature. Similar results were found using a Zeta-20 imaging and metrology microscope [16], a Wyko NT9300 white light interferometer [17], and a white light chromatic sensor [18]. In [19] and [20], a vision-aided measure system, which was made up by CCDs, telecentric lens, backlighting board, and frame grabber, was established to model GW topography.…”

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confidence: 59%

Modeling and simulation of grinding wheel by discrete element method and experimental validation

Zhu

et al. 2015

Int J Adv Manuf Technol

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A simulated grinding wheel (GW), a numerical representative that describes the geometric and physical properties of realistic GWs, is the prerequisite and foundation of grinding research. However, most proposed numerical GWs treated realistic GWs as continuums without internal structure (e.g., binder and pores) and analyzed realistic GWs' behaviors based on continuum-based material theories. To fill this gap, this study attempts to introduce a discontinuum-based method, discrete element method (DEM), into GW modeling and simulation. DEM GW simulation begins with two grindingcustomized modifications to classic DEM theory. Then, with the aid of experimental measurement and statistical analysis, a DEM GW is modeled. Experimental validations are conducted thereafter. Results show acceptable agreements between DEM and realistic GWs in terms of topography, microscopic structure, fracture behavior in compressive test, and performance in grinding process. The proposed DEM GW's ability in describing a discontinuous structure of realistic GWs covers the shortage of existing numerical GWs and might have other promising applications (e.g., GW formula optimization in production, GW preparation technology and parameter optimization, and GW wear and life prediction).Keywords Discrete element method . Grinding wheel . Modeling and simulationAbbreviation Scalar (in alphabetical order) a bHalf the length of octahedron minor axis (see Fig. 8a) a tHalf the length of spheriod minor axis (see Fig. 8aHalf the length of octahedron major axis (see Fig. 8a) b tHalf the length of spheriod major axis (see Fig. 8a)

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