A controllable material removal strategy considering force-geometry model of belt grinding processes

Wang, Yongqing; Hou, Bo; Wang, Fengbiao; Ji, Zhichao

doi:10.1007/s00170-016-8860-5

Cited by 19 publications

(10 citation statements)

References 18 publications

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“…Y. Wang et al [13] Developed a controllable material removal strategy to control the acting force and grinding dwell time by modelling the global and local material removal process of belt grinding. A finite element method (FEM) has been adopted to calculate the local force and global grinding model based on the Hertz contact theory.…”

Section: Investigators Contributionmentioning

confidence: 99%

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Modelling of Material Removal in Abrasive Belt Grinding Process: A Regression Approach

et al. 2020

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This article explores the effects of parameters such as cutting speed, force, polymer wheel hardness, feed, and grit size in the abrasive belt grinding process to model material removal. The process has high uncertainty during the interaction between the abrasives and the underneath surface, therefore the theoretical material removal models developed in belt grinding involve assumptions. A conclusive material removal model can be developed in such a dynamic process involving multiple parameters using statistical regression techniques. Six different regression modelling methodologies, namely multiple linear regression, stepwise regression, artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR) and random forests (RF) have been applied to the experimental data determined using the Taguchi design of experiments (DoE). The results obtained by the six models have been assessed and compared. All five models, except multiple linear regression, demonstrated a relatively low prediction error. Regarding the influence of the examined belt grinding parameters on the material removal, inference from some statistical models shows that the grit size has the most substantial effect. The proposed regression models can likely be applied for achieving desired material removal by defining process parameter levels without the need to conduct physical belt grinding experiments.

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Section: Investigators Contributionmentioning

confidence: 99%

“…where x (or y) is the input to nodes i and Ai (or Bi-2) generating a linguistic label coupled with the node as given by Equation (12). The membership function for A (or B) can be any, such as a sigmoidal membership function given by Equation (13).…”

Section: Adaptive Neuro-fuzzy Inference Systemmentioning

confidence: 99%

Modelling of Material Removal in Abrasive Belt Grinding Process: A Regression Approach

et al. 2020

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“…Using the obtained pressure model, the tool speed and torque model was calculated, and the pressure distribution with respect to the part geometry was investigated. For the belt finishing process as shown in Figure 2.5(a), Wang et al [24] employed the Hertzian contact theory to model the contact pressure distribution as given by Eq. 2.1 to Eq.…”

Section: Contact Pressure Distribution In Compliant Polishing Toolsmentioning

confidence: 99%

“…This model was helpful to understand the effect of tool and workpiece curvature along with the machining parameters (force, spindle speed, feed etc.,) on the material removal profile. A similar study was carried out by Wang et al [24] in belt grinding study, where the contact area between the tool and surface was modelled as an ellipse, and the material removal rate was derived using factors like the pressure distribution and the tool dwell time which is, in turn, a function of feed. Another method, where the experimental dynamic pressure data was used along with Archard wear formula to predict the material removal profile in belt grinding process by Sun et al [31].…”

Section: Archard Wear Modelmentioning

confidence: 99%

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Effect of polishing disc compliance on the pressure distribution and material removal

Arunachalam¹

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Polishing is a key manufacturing process which has become inevitable in many industries such as shipbuilding, aerospace, automobile and bio-medical sectors. The compliant polishing tools (CPTs) are commonly used in industries, and there are different variants of the compliant polishing tools such as disc, wheel or belt types. Initially in this dissertation, in order to reduce the ambiguity involved in tool selection, two multi-criteria decision-making methods (MCDMs) methods are considered for a case study involving the selection of optimal polishing tools at different polishing stages. The CPTs are usually preferred to the rigid tools for the

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Trajectory and Force Generation with Multi-constraints for Robotic Belt Grinding

Mao

Zhao

et al. 2017

Intelligent Robotics and Applications

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A controllable material removal strategy considering force-geometry model of belt grinding processes

Cited by 19 publications

References 18 publications

Modelling of Material Removal in Abrasive Belt Grinding Process: A Regression Approach

Modelling of Material Removal in Abrasive Belt Grinding Process: A Regression Approach

Effect of polishing disc compliance on the pressure distribution and material removal

Trajectory and Force Generation with Multi-constraints for Robotic Belt Grinding

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