Voxel-Based Adaptive Toolpath Planning using GPU for Freeform Surface Machining
| Autor: | Aman Kukreja, Mandeep Dhanda, S. S. Pande |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Computer science Mechanical Engineering Graphics processing unit 02 engineering and technology computer.software_genre 01 natural sciences Industrial and Manufacturing Engineering 0104 chemical sciences Computer Science Applications 010404 medicinal & biomolecular chemistry 020901 industrial engineering & automation Freeform surface machining Control and Systems Engineering Voxel Computer graphics (images) computer ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Journal of Manufacturing Science and Engineering. :1-31 |
| ISSN: | 1528-8935 1087-1357 |
| DOI: | 10.1115/1.4051535 |
| Popis: | Today freeform surfaces are widely used on products in automobile, aerospace, and die/molds industries, which are generally manufactured using multi-axis CNC machines. Frequent changes in the design of products necessitate creation of CNC part programs which need fast and accurate toolpath generation methods. Traditional toolpath generation methods involve complex computations and are unable to consider multiple surface patches together. The voxel-based CAD model provides the ability to represent the multi-patch surfaces in a discretized manner which can be processed using an advanced parallel computing framework for accurate tool path planning. This paper presents a new method to generate an adaptive Iso-planar toolpath for a 3-axis CNC machine using the voxel-based part model. The algorithm is designed to work on a Graphics Processing Unit (GPU) that allows parallel processing for faster toolpath generation. The proposed approach consists of two main steps, an algorithm to generate gouge free cutter location points from the voxel-based CAD model and an algorithm to find out sidestep and forward step from those cutter location points to create the final CNC tool path. A new image-processing technique has been proposed to identify gouge by detecting the shadow surface voxels and their intersection with the cutting tool. The developed system was extensively tested and compared with the various reported toolpath planning strategies for machining complex freeform surface parts. The results show that the developed method is computationally efficient, robust, and accurate in generating adaptive planar toolpath. |
| Databáze: | OpenAIRE |
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