Study on the surface topography in consideration of the dynamic grinding hardening process

Xiu, Shichao; Sun, Cong; Duan, Jinchao; Lan, Dongxue; Li, Qingliang

doi:10.1007/s00170-018-2744-9

Cited by 12 publications

(5 citation statements)

References 23 publications

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“…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. The protrusion-heights of these abrasive-grains are described with a distribution [31], furthermore, the size of the abrasive-grain is approximately equal to the number of grains. An improved surface for the grinding-wheel simulated by authors of this paper is shown in Fig.…”

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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“…В работе [19] studied the method of generating the topography of the grinding surface and simulated the grinding force during the grinding process. Research [20] assumed that the height of the abrasive grain obeys a Gaussian distribution and established the motion trajectory equation for modeling the topography of the workpiece surface [21]. Many studies have reconstructed models of undeformed chip thickness from randomly distributed cutting edges, elastic deformation in the contact zone, and micro-interaction of cutting edges [22].…”

Section: Introductionmentioning

confidence: 99%

Identification of new indicators for recognition of cutting grains and wear of the grinding wheel based on image recogntion

Pivkin¹,

Ershov²,

Grechisnikov³

et al. 2022

Optical Metrology and Inspection for Industrial Applications IX

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In this paper, a set of indicators for an effective assessment of the cutting ability of a grinding wheel was established based on the detection of the degree of filling and immersion of abrasive edges. It has been pointed out that a profile of a populated circle has a direct correlation with the average number of recognized faces. A new indicators for measuring zones with active edges and their distribution on the surface of a grinding wheel was developed, which can be identified by the models algorithms, is formed

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“…As a traditional machining process, grinding technology, which is usually applied in the final processing, can not only achieve higher machining accuracy but also guarantee the requirements of the surface integrity (especially surface roughness) of the part [ 1 , 2 ], whereas with the increasing requirements of modern industry on the application performance of parts, the traditional grinding process has gradually been unable to meet the demand of industrial production. Therefore, the development of a new grinding technology would attract a lot of attention from scholars in the field of machinery manufacturing nowadays.…”

Section: Introductionmentioning

confidence: 99%

Hardness Prediction of Grind-Hardening Layer Based on Integrated Approach of Finite Element and Cellular Automata

2021

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As an emerging composite processing technology, the grind-hardening process implements efficient removal on workpiece materials and surface strengthening by the effective utilization of grinding heat. The strengthening effect of grind-hardening on a workpiece surface is principally achieved by a hardened layer, which is chiefly composed of martensite. As a primary parameter to evaluate the strengthening effect, the hardness of the hardened layer mostly depends on the surface microstructure of the workpiece. On this basis, this paper integrated the finite element (FE) and cellular automata (CA) approach to explore the distribution and variation of the grinding temperature of the workpiece surface in a grind-hardening process. Moreover, the simulation of the transformation process of “initial microstructure–austenite–martensite” for the workpiece helps determine the martensite fraction and then predict the hardness of the hardened layer with different grinding parameters. Finally, the effectiveness of the hardness prediction is confirmed by the grind-hardening experiment. Both the theoretical analysis and experiment results show that the variation in the grinding temperature will cause the formation to a certain depth of a hardened layer on the workpiece surface in the grind-hardening process. Actually, the martensite fraction determines the hardness of the hardened layer. As the grinding depth and feeding speed increase, the martensite fraction grows, which results in an increase in its hardness value.

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Study on the surface topography in consideration of the dynamic grinding hardening process

Cited by 12 publications

References 23 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

Identification of new indicators for recognition of cutting grains and wear of the grinding wheel based on image recogntion

Hardness Prediction of Grind-Hardening Layer Based on Integrated Approach of Finite Element and Cellular Automata

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