NC milling error assessment and tool path correction

Huang, Yunching; Oliver, James H.

doi:10.1145/192161.192231

Cited by 54 publications

(22 citation statements)

References 20 publications

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“…These image based SV-approximations, that often utilize the depth buffer, were first introduced in [11]. They were used for displaying purposes [13], [12], [25] as well as for 3D mesh extraction [3].…”

Section: A Previous and Related Workmentioning

confidence: 99%

High Precision Conservative Surface Mesh Generation for Swept Volumes

Dziegielewski

Hemmer

Schömer

2015

IEEE Trans. Automat. Sci. Eng.

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Abstract-We present a novel, efficient and flexible scheme to generate a high quality mesh that approximates the outer boundary of a swept volume. Our approach comes with two guarantees. First, the approximation is conservative, i.e., the swept volume is enclosed by the generated mesh. Second, the one-sided Hausdorff distance of the generated mesh to the swept volume is upper bounded by a user defined tolerance. Exploiting this tolerance the algorithm generates a mesh that is adapted to the local complexity of the swept volume boundary, keeping the overall output complexity remarkably low. The algorithm is two-phased: the actual sweep and the mesh generation. In the sweeping phase we introduce a general framework to compute a compressed voxelization. The phase is tailored for an easy application of parallelization techniques. We show this for our exemplary implementation and provide a multi-core solution as well as a GPU based solution using CUDA. For the meshing phase we utilize and extend the well known Delaunay refinement such that it generates an adaptive conservative approximation that obeys the user defined upper bound on the one-sided Hausdorff distance to the swept volume. The approach is able to handle inputs of high complexity and compute an approximation with a very high precision, which we demonstrate on real industrial data sets.Note to Practitioners -This work is motivated by the following problem we were posed by a car manufacturer: To measure the movement of an engine during test drives, sensors were placed onto the motor compartment of a car.With this setup the sensors recorded the position and orientation of the engine every 5 ms. The reason for these test drives were clearance checks between parts of the engine and other components, fixated on the chassis, e.g., the oil pan and a neighboring component, cf. Figure 1. We are now interested in the following question: Which volume in space does the vibrating part of the engine occupy? We here present a method that approximatively computes the outer boundary of this volume that is also called the swept volume. The model that generates the volume (hence generator) will be a CAD model, that is swept (hence swept volume) along the sequence of motions (trajectory).A trajectory can of course also come from CAD. The scenario depicted in Figure 2 shows a user-created path during maintainability analysis. The swept volume (or rather its outer boundary) can be used to verify that the path is collision free and that spatial tolerances are not violated. In contrast to previous methods that compute the swept volume, our swept volume approximation is reliable, meaning, that we give guarantees on the quality of our approximation in terms of how close we are to the actual swept volume.Future work would be the extension of our approach to kinematic chains, e.g., the swept volume of a car seat under all possible configurations.

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Section: A Previous and Related Workmentioning

confidence: 99%

High Precision Conservative Surface Mesh Generation for Swept Volumes

Dziegielewski

Hemmer

Schömer

2015

IEEE Trans. Automat. Sci. Eng.

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“…Here, the object is represented as a dexel-board model [10]. Dexels are depth elements, which are organized on a regular grid.…”

Section: Modeling Of Workpiece and Drilling Toolmentioning

confidence: 99%

Simulation of the BTA deep-hole drilling process

Biermann

Sacharow

Wohlgemuth

2009

Prod. Eng. Res. Devel.

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The dynamic disturbances of the deep-hole drilling process pose a great challenge. Especially spiralling, which causes holes with several lobes, can damage the workpiece irreparably. The causes for spiralling are not well explored yet, and it is important to analyze which conditions and process parameters can cause the spiralling. This article presents a simulation system for the idealized BTA (Boring and Trepanning Association) deep-hole drilling process. Methods of computer graphics allow the realistic modeling of the cutting edge and the workpiece. The simulation is able to calculate the sweep volume, cutting forces, and regenerative tool vibrations. It is also possible to generate the resulting geometry of the workpiece depending on the eigenfrequencies of the boring bar and on the process parameters. Thus, the pre-conditions for the spiralling can be analyzed.

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“…The cost of the simulation for the first approach (when using Constructive Solid Geometry) is reported to be O(n 4 ) (n being the number of tool movements) by O(n) for the approximation approach [38]. Since a complex NC program might consist of ten thousand movements, the first approach is computationally unapproachable and only approximate techniques are applied [32,36,37,38,72]. …”

Section: Nc Millingmentioning

confidence: 99%