@inbook{9bb229ae529548edb4058a3645c7c5ea,
title = "Voxel-Based Strategy for Efficient CNC Machining",
abstract = "Complex industrial parts such as dies and molds are produced on multi-axis CNC machines. Efficiency and utilization of such machines are dictated to a great extent by the availability of efficient part programs to carry out various roughing and finishing operations. This paper presents a novel approach for the tool path planning of roughing operation of complex machining features using voxelization. The developed system takes the CAD part model in STL format as the input. Machinable and non-machinable regions are identified using voxelization followed by the generation of isoplanar zig-zag roughing tool path for 3-axis milling machine. The system was tested for different parts with varying complexities. The developed voxel-based tool path strategy was found to be generic, computationally efficient, and productive compared to those in commercial software.",
keywords = "CNC rough machining, STL, Tool path planning, Voxelization",
author = "A. Kukreja and Mane, {H. D.} and M. Dhanda and Pande, {S. S.}",
year = "2019",
month = nov,
day = "24",
doi = "10.1007/978-981-32-9417-2_50",
language = "English",
isbn = "9789813294165",
series = "Lecture Notes on Multidisciplinary Industrial Engineering",
publisher = "Springer Nature",
pages = "601--612",
editor = "Shunmugam, {M. S.} and M. Kanthaban",
booktitle = "Advances in Forming, Machining and Automation. AIMTDR 2018",
address = "USA United States",
}