Abstract:Internal traverse grinding (ITG) using electroplated cBN tools in high-speed grinding conditions is a highly efficient manufacturing process for bore machining in a single axial stroke. However, process control is difficult. Due to the axial direction of feed, changes in process normal force and thus radial deflection of the tool and workpiece spindle system, lead to deviations in the workpiece contour along the length of the bore, especially at tool exit. Simulations including this effect could provide a tool… Show more
“…K is dependent on whether the section is in front (10) or behind (11) the load application point. First, every isostatic case, produced by every support and force, was solved, considering q, R F (reaction of the steady rest in the second diameter), R G (reaction of the steady rest in the third diameter), and R H (reaction of the steady rest in the fourth diameter).…”
Section: šø ā š¼[š] ā š¦mentioning
confidence: 99%
“…Some research has been conducted to clarify and predict the deformation behavior of slender parts during the traverse grinding process, based on the radial force induced by the wheel pushing the workpiece, both in external [7,10] and internal [11] grinding processes. Having presented the prediction model, various solutions have been described to minimize the predicted shape error.…”
Achieving geometrical accuracy in cylindrical traverse grinding for high-aspect slender parts is still a challenge due to the flexibility of the workpiece and, therefore, the resulting shape error. This causes a bottleneck in production due to the number of spark-out strokes that must be programmed to achieve the expected dimensional and geometrical tolerances. This study presents an experimental validation of a shape-error prediction model in which a distributed load, corresponding to the grinding wheel width, is included, and allows inclusion of the effect of steady rests. Headstock and tailstock stiffness must be considered and a procedure to obtain their values is presented. Validation of the model was performed both theoretically (by comparing with FEM results) and experimentally (by comparing with the deformation profile of the real workpiece shape), obtaining differences below 5%. Having determined the shape error by monitoring the normal grinding force, a solution was presented to correct it, based on a cross-motion of the grinding wheel during traverse strokes, thus decreasing non-productive spark-out strokes. Due to its simplicity (based on the shape-error prediction model and normal grinding force monitoring), this was easily automatable. The corrective compensation cycle gave promising results with a decrease of 77% in the shape error of the ground part, and improvement in geometrically measured parameters, such as cylindricity and straightness.
“…K is dependent on whether the section is in front (10) or behind (11) the load application point. First, every isostatic case, produced by every support and force, was solved, considering q, R F (reaction of the steady rest in the second diameter), R G (reaction of the steady rest in the third diameter), and R H (reaction of the steady rest in the fourth diameter).…”
Section: šø ā š¼[š] ā š¦mentioning
confidence: 99%
“…Some research has been conducted to clarify and predict the deformation behavior of slender parts during the traverse grinding process, based on the radial force induced by the wheel pushing the workpiece, both in external [7,10] and internal [11] grinding processes. Having presented the prediction model, various solutions have been described to minimize the predicted shape error.…”
Achieving geometrical accuracy in cylindrical traverse grinding for high-aspect slender parts is still a challenge due to the flexibility of the workpiece and, therefore, the resulting shape error. This causes a bottleneck in production due to the number of spark-out strokes that must be programmed to achieve the expected dimensional and geometrical tolerances. This study presents an experimental validation of a shape-error prediction model in which a distributed load, corresponding to the grinding wheel width, is included, and allows inclusion of the effect of steady rests. Headstock and tailstock stiffness must be considered and a procedure to obtain their values is presented. Validation of the model was performed both theoretically (by comparing with FEM results) and experimentally (by comparing with the deformation profile of the real workpiece shape), obtaining differences below 5%. Having determined the shape error by monitoring the normal grinding force, a solution was presented to correct it, based on a cross-motion of the grinding wheel during traverse strokes, thus decreasing non-productive spark-out strokes. Due to its simplicity (based on the shape-error prediction model and normal grinding force monitoring), this was easily automatable. The corrective compensation cycle gave promising results with a decrease of 77% in the shape error of the ground part, and improvement in geometrically measured parameters, such as cylindricity and straightness.
“…In general, such kinematic models aim to approximate the interaction of each individual grain on the grinding wheel with the workpiece material but rely on simplified models for the interactions under consideration due to the large amount of grain engagements. We recently proposed a multi-scale simulation framework capable of simulating internal traverse grinding under consideration of elastic deflection between grinding wheel and workpiece, for which a model for the single-grain process forces was developed based on two-dimensional finite element cutting simulations [1]. The process forces could be predicted in good agreement with experimental observations, where the only experimental calibration was performed for the elastic compliance of the machining system.…”
Section: Introductionmentioning
confidence: 99%
“…A Lagrangian Finite Element scheme, based on the model presented in [5], was applied for the single-grain cutting simulations in [1]. Due to the large deformations during chip formation, a remeshing scheme is necessary for the simulations, which adds computational cost and introduces artificial diffusion of the solution variables.…”
Section: Introductionmentioning
confidence: 99%
“…Grinding tools, on the other hand, contain a large number of grains with varying geometric characteristics. We recently proposed a multi-scale simulation system for the simulation of ITG processes, where a geometric kinematic grinding simulation, based on a database of digitalised grains of a real grinding wheel, was used to determine the grain engagements [1]. The process forces were obtained from summation of the contributions of all active grains at any given time, based on a force model on the individual grain level.…”
Continuous technological advancements in the field of grinding technology and improved grinding tools have contributed to the development of high performance grinding processes. One example of such a process is internal traverse grinding (ITG) with electroplated cBN grinding wheels, where the tool consists of a conical roughing zone and a cylindrical finishing zone. Since the tool is fed in axial direction into a revolving workpiece, spindle deflections induced by varying process forces can lead to contour errors along the bore. Numerical simulations are a valuable tool to overcome the challenges associated with such high performance processes. Whenever spindle deflections need to be considered, accurate prediction of the process forces is paramount. Finite Element (FE) simulations have been widely used for the prediction of forces in cutting processes such as turning and milling, where only a small number of active cutting edges is considered, and where the geometry of these cutting edges is clearly defined. Grinding tools, on the other hand, contain a large number of grains with varying geometric characteristics. We recently proposed a multiāscale simulation system for the simulation of ITG processes, where a geometric kinematic grinding simulation, based on a database of digitalised grains of a real grinding wheel, was used to determine the grain engagements [1]. The process forces were obtained from summation of the contributions of all active grains at any given time, based on a force model on the individual grain level. The force model takes the material removal rate and an approximation of the rake angle into account, and was calibrated via finite element simulations.
In recent years, the Coupled Eulerian Lagrangian method (CEL), which is part of the commercial finite element software Abaqus, has been applied to simulate various cutting processes. No remeshing is necessary in this framework, and separation of chips from the workpiece can be modelled without element deletion. The application of CEL to the simulation of single grain cutting is therefore a promising approach to further improve the force model included in the process simulation of ITG. In this work, the kinematics of ITG are incorporated into a single grain cutting simulation, and the suitability of the CEL method for the problem is evaluated with a focus on the chip formation, separation and selfācontact between the chip and the workpiece.
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