A Surface Generation Mechanism of Grinding

Abstract

This paper presents a surface generation mechanism of grinding that captures the microscopic interaction between the abrasive grains and work-surface. The mechanism utilizes both deterministic and stochastic formulations and deals with such realistic constraints as loss/wear and uneven distribution of abrasive grains, roughness of already-ground work-surface, and machine stiffness. Apart from the theoretical treatments, numerical examples are cited showing how the topography of the work-surface evolves because of the proposed mechanism. The work will help build computerized systems ensuring a reliable prediction of the surface roughness due to grinding under the realistic constraints.

Elucidating Grinding Mechanism by Theoretical and Experimental Investigations

“…Grinding wheel topography reconstruction was performed using the un-deformed chip thickness non-uniformity investigation, ground surface roughness model. Ullah et al [30] developed a stochastic simulation model of grinding mechanism where the trajectories of the stochastically distributed abrasive grains with uneven heights and the roughness of the workpiece surface are integrated to see how the workpiece surface topography evolves due to multiple passes.…”

“…Referring to the relevant works (as described in Section 2), Ullah et al [30] proposed a set of nine functional requirements needed for developing a realistic model that mimics the microscopic interaction between the abrasive grains and workpiece surface. The main goal of these functional requirements is to create a resultant trajectory from the trajectories of some unevenly distributed abrasive grains with uneven heights.…”

Surface Roughness Modeling Using Q-Sequence

“…Uchidate et al [22] introduced an auto-regression based model to create surface heights for the sake of soft-calibration. Sharif Ullah et al [23] modeled the microscopic interactions between workpiece and tool (e.g., a grinding wheel) that are stochastic in nature to simulate the surface heights of a machined surface for several passes. Nevertheless, the methodologies developed so far to capture the dynamics of surface roughness, e.g., the methodologies described in [11,[19][20][21][22][23] and in the references therein, are parameter-dependent, requiring a great deal of efforts of the users to set the right values of a relatively large number of parameters.…”