| contributor author | Kukreja, Aman;Pande, S. S. | |
| date accessioned | 2023-04-06T12:53:23Z | |
| date available | 2023-04-06T12:53:23Z | |
| date copyright | 12/9/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 15309827 | |
| identifier other | jcise_23_3_031009.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4288709 | |
| description abstract | The primary objective of an efficient computer numerical control (CNC) finishing toolpath strategy is to reduce the machining time and maintain desired surface finish (scallop). Among traditional toolpath planning strategies, isoscallop gives the shortest toolpath while achieving a uniform surface finish. However, it is computationally complex, timeconsuming, and sometimes produces topological inconsistencies in regions of high curvature/gradient. This paper presents a novel voxelbased toolpath planning algorithm to address these issues for the threeaxis milling of freeform surfaces. Two strategies have been proposed, namely, isoscallop and hybrid isoscallop. Gougefree cutter location (CL) points are initially computed from the voxelbased model, followed by isoscallop toolpath generation using a binary search algorithm. The hybrid strategy involves region segmentation to generate an adaptive toolpath in high curvature/gradients regions. The overlapping toolpath is stitched and refined to create an efficient isoscallopbased tool path. The developed system was extensively tested for complex freeform surface parts and was found to be computationally efficient, robust, and accurate in generating a finishing toolpath. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | An Efficient IsoScallop Toolpath Planning Strategy Using VoxelBased Computer Aided Design Model | |
| type | Journal Paper | |
| journal volume | 23 | |
| journal issue | 3 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4055372 | |
| journal fristpage | 31009 | |
| journal lastpage | 3100912 | |
| page | 12 | |
| tree | Journal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 003 | |
| contenttype | Fulltext | |