Effect of process parameters on the rate of abrasive assisted brush deburring of microgrooves

Mathai, George; Melkote, Shreyes N.

doi:10.1016/j.ijmachtools.2012.02.007

Cited by 29 publications

(11 citation statements)

References 14 publications

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“…So far many studies on brush theories have been conducted, including those for brush finishing/polishing industries (Shia and Stango, 1997;Chen et al, 2001;Makarov et al, 2012;Mathai and Melkote, 2012), brush seal applications (Chew et al, 1995;Kudriavtsev and Braun, 1996), simulation of brush writing in Chinese calligraphy (Wong and Ip, 2000;Xu et al, 2002), and tooth brushes. Many of these were based on mathematical deformation analysis of cantilever beams, but there has not been a universal model or theory that can be used to describe general brush behaviors.…”

Section: Introductionmentioning

confidence: 99%

Regression modeling and prediction of road sweeping brush load characteristics from finite element analysis and experimental results

et al. 2015

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Section: Introductionmentioning

confidence: 99%

Regression modeling and prediction of road sweeping brush load characteristics from finite element analysis and experimental results

et al. 2015

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“…Studies on brush tools so far include empirical researches on tooth brushes [10,11], experimental and mathematical analysis of abrasive brushes [12][13][14], Finite Element (FE) analysis of the behaviors of road sweeping brush with straight rectangular tines [15][16][17], and recently exploratory analysis on helical brush filament characteristics using the FE method [18]. The studies on the road sweeping brushes [15][16][17] have originated and developed the methodology of modeling brush deformation using Finite Element method to analyze brush contact geometry and contact force.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of Industrial Grinding Brush Force Characteristics Based on Finite Element Approach

Wang

Guo

Zhao

et al. 2018

Mathematical Problems in Engineering

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This paper presents an in-depth study of the helical grinding brush force characteristics aiming at developing a mobile robot system to perform rust removal and other surface processing tasks. Based on an off-line Finite Element model that can calculate brush filament deformation and force behaviors, a mathematical regression model has been developed to summarize brush force changes subjected to varying conditions into a series of mathematical equations. The predictions of the mathematical model are well converged with the Finite Element modeled results and the R-squared value is up to 0.95. The paper presents the model form and calibrated coefficients, which may provide an advantageous tool to predict the grinding brush force changes in real time and contribute well to an automatic grinding control application.

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“…Metal abrasive brushes are widely used in industries for deburring, finishing, polishing, and rust removal processes. [1][2][3][4][5][6] Automatic finishing or polishing machines are often large workstations that require operators to handle materials at specific locations. For many remote applications such as bridge and vehicle shell refurbishment, handhold tools such as angle grinders are often equipped with abrasive brushes for labor works, as shown in Figure 1(a).…”

Section: Introductionmentioning

confidence: 99%

Analysis of helical abrasive brush filament force characteristics for surface treatment processes

Chong

Sun

2017

Advances in Mechanical Engineering

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This study investigates the characteristics of helical abrasive brush filaments and aims at developing a mobile robot system to perform rust removal and polishing tasks. A finite element model that can analyze the filament deformation and force characteristics is presented. From the model, the relationships between the brushing force and other operating parameters can be predicted, which are essential for developing an autonomous brushing control system. The modeled results are compared with experimental results carried out on a specifically designed test rig, leading to considerably well converged comparisons. Many later studies can be carried out to develop optimal brush control strategies for autonomous rust removal or polishing tasks.

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Effect of process parameters on the rate of abrasive assisted brush deburring of microgrooves

Cited by 29 publications

References 14 publications

Regression modeling and prediction of road sweeping brush load characteristics from finite element analysis and experimental results

Regression modeling and prediction of road sweeping brush load characteristics from finite element analysis and experimental results

Statistical Analysis of Industrial Grinding Brush Force Characteristics Based on Finite Element Approach

Analysis of helical abrasive brush filament force characteristics for surface treatment processes

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