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DOI: 10.1016/J.JMAPRO.2021.05.029 Corpus ID: 236240562; A novel material removal rate model based on single grain force for robotic belt grinding @article{Li2021ANM, title={A novel material removal rate model based on single grain force for robotic belt grinding}, author={Lufeng Li and Xukai Ren and Hengjian Feng and Huabin Chen and …
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In the robotic belt grinding process, the elastic contact condition between the flexible tool and the workpiece is a critical issue which extremely influences the surface quality of the ...
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As a kind of manufacturing system with a flexible grinder, the material removal of a robot belt grinding system is related to a variety of factors, such as …
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A reliable material removal rate (MRR) prediction method significantly optimizes the grinding surface quality and improves the processing efficiency for robotic abrasive belt grinding. Using worn-belt image features to predict MRR is a direct and reliable method; however, this method is rarely reported at present. This paper proposes an MRR …
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However, the study focused on the modelling and analysis of the material removal rate and did not further investigate the quantitative removal depth model for the robotic belt grinding process. Qi [15] developed a prediction model of MRD for the polishing process from a microscopic perspective by integrating the linear removal …
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Research Papers. Process optimization of robotic grinding to guarantee material removal accuracy and surface quality simultaneously. Accepted Manuscript. …
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Given the complexity of abrasive belt grinding, Cabaravdic et al. [28] proposed a local nonlinear material removal model for abrasive belt grinding: (8) r = C g · V b e 1 · V b e 2 · F e 3 where r is the material removal depth of the per unit time, C g = C A • K A • K t, C A is the correction coefficient of the grinding process, K A is ...
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Belt grinding is commonly used in the process of machining complex surface. However, due to the elasticity of the grinding belt, it needs repeated or longer dwell-time grinding in order to meet the required machining precision, which is inefficient, time-consuming, and always ended up with poor surface quality. So, this paper focuses …
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Yang et al. [18] investigated a new material removal model for robotic belt grinding based on dimensionality reduction method. In order to reduce the difficulty of modeling and improve the accuracy, Ren et al. [19] derived the prediction model for material removal contour by taking the easily available material removal volume as the …
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However, material removal in grinding is the result of the interference between grits and workpiece [16], [17], [18], which is a complex process involving many grinding factors. The empirical model is easy to ignore the important grinding factors, so it has limitations in application. ... A local process model for simulation of robotic belt ...
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Comparison of robotic belt grinding force profiles without (a) and with (b) force control technology when contact wheel speed v c = 12.56 m/s, robot feed velocity v r = 40 mm/s for both (a) and (b ...
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Material removal model for robotic belt grinding is presented from a macro–micro perspective. • Geometrical characteristics of stochastic abrasive grains at …
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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 are explored to find the most substantial effect. This article explores the effects of parameters such as cutting speed, force, polymer wheel hardness, feed, and grit size in …
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Specifically, a material removal rate model considering the effects of cut-in and cut-off paths is firstly built to demonstrate the real robotic belt grinding process.
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Robotic abrasive belt grinding can be widely used to improve the surface quality of complex workpieces. Due to the elastic characteristics in the grinding process, feasible processing parameters cannot be fully predicted by existing cutting models given a desired cutting depth. Thus, abrasive belt grinding in industrial production still relies …
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For the Case 2, a machining path interval planning algorithm is established based on the MRP model. Set the material removal profile at the nth grinding point on the ith path is E in, the maximum grinding depth of cut is h max which satisfies h max > h s.As shown in Fig. 4, E in overlaps with the material removal profile E (i+1) n at the nth …
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Multi-Information Fusion-Based Belt Condition Monitoring in Grinding Process Using the Improved-Mahalanobis Distance and Convolutional Neural Networks ... A new Force-Depth Model for Robotic Abrasive Belt Grinding and Confirmation by Grinding of the Inconel 718 Alloy ... Influence of Contact Force and Rubber Wheel …
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An industrial robot, a belt sander, and self-designed burnishing equipment are combined to integrate robotic belt grinding and burnishing, as depicted in Fig. 1.The workpiece is held by an ABB robot, with a force sensor between the clamp and the robot's end flange, ensuring control over the normal force (F n) during machining.Installed on a …
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This paper develops grinding force model and material removal rate model based on single grain force for robotic belt grinding. It divides the whole grinding process into three stages: initial stage, steady stage and accelerated stage, based on the degree of grain wear, analyses the grinding force of rubbing, ploughing and cutting …
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A physical material removal profile model (PHY) that suits the robotic belt grinding is first presented by appealing to the Archard law and Hertzian theory. Next, the knowledge-wrapping matrix is designed to wrap the physical constraints into a form of design matrix by transforming the mechanistic and empirical models into a linear system.
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Firstly, through analysis and finite element simulation, the model of abrasive belt grinding force is established and the rationality of the model is verified by experiments; furthermore, the ...
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A physical material removal profile model (PHY) that suits the robotic belt grinding is first presented by appealing to the Archard law and Hertzian theory. Next, the knowledge-wrapping matrix is designed to wrap the physical constraints into a form of design matrix by transforming the mechanistic and empirical models into a linear system.
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Surface roughness and the material removal rate (MRR) are two important indicators during the grinding process. The former determines the surface quality while the latter reflects the grinding efficiency directly. In this paper, the two indicators are taken into consideration simultaneously and differently by converting them into a comprehensive …
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The surface finishing and stock removal of complicated geometries is the principal objective for grinding with compliant abrasive tools. To understand and achieve optimum material removal in a tertiary finishing process such as Abrasive Belt Grinding, it is essential to look in more detail at the process parameters/variables that affect the …
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In the robotic belt grinding process, the elastic contact condition between the flexible tool and the workpiece is a critical issue which extremely influences the surface quality of the manufactured part. The existing analysis of elastic removal mechanism is based on the statistic contact condition but ignoring the dynamic removal phenomenon. …
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This article presents a novel model for estimation of the material removal in the robotic belt grinding process. In particular, two process parameters, robot velocity and contact force between the workpiece and the contact wheel, are analyzed in …
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A novel material removal prediction model for robotic belt grinding is developed. •. The material removal volume of single abrasive grain is shaped like a …
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Predictive Modeling and Analysis of Material Removal Characteristics for Robotic Belt Grinding of Complex Blade. March 2023. Applied Sciences13(7):4248. …
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A novel material removal rate model of robotic belt grinding is proposed. Grinding force model based on single grain is investigated according to the penetration …
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This model was used to predict the life cycle removal of titanium alloy materials in the belt finishing process. The reliability of the LCMR model was verified by experiments. Among them, abrasive belt grinding technology is widely used to achieve the surface quality of complex components due to its advantages of flexibility and cold …
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The results indicated that the constant contact force combined with the optimal process parameters is quite suitable for the robotic belt grinding of complex surfaces, such as the turbine blades. Later an improved micro-grinding force model was presented by Yan et al. [72] by considering the influence of cut-in and cut-out in robotic belt ...
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This paper studies the vibratory dynamics governing material removal performed by a compliant robot. The objective is to understand whether metal removal at a target rate or to a target depth of cut is possible given the unavoidable significant and sustained vibrations inherent to the process. Robotic grinding by the SCOMPI robot …
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the mechanism of abrasive belt grinding of titanium alloy blades, a carbon emission model of the process of abra-sive belt grinding of titanium alloy blades is established. And an improved NSGA-II algorithm is proposed, which takes the carbon emission, surface quality, and material removal rate produced by the grinding process of titanium
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The first category focuses on the grain shape that has a significant impact on surface morphology and MRD. Li et al. [47] introduced a novel material removal rate (MRR) model tailored for robotic belt grinding, utilizing a single-grain force approach. This model elucidates the grinding mechanism from a microscopic perspective and provides ...
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The accurate prediction of material removal (MR) remains a persistent challenge in the field of robotic belt grinding, particularly with the consideration of the stochastic nature of abrasive grains.
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A reliable material removal rate (MRR) prediction method significantly optimizes the grinding surface quality and improves the processing efficiency for robotic abrasive …
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