Efficient CNC Toolpath Generation Using Point Cloud

Mandeep Dhanda, Aman Kukreja, S. S. Pande

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

This paper reports a comparison of three different CNC machining strategies for the efficient generation of toolpaths directly from the point cloud without the need of surface reconstruction. The developed strategies (NRS, RBS, and SBS) have been rigorously tested for complex freeform part models with varying geometric complexities to compare the performance parameters such as machining time, surface finish, and code length. Suitable recommendation has been made to choose the efficient strategy for a specific type of freeform point-based surface model.

Original languageEnglish
Title of host publicationAdvances in Simulation, Product Design and Development - Proceedings of AIMTDR 2021
EditorsP.K. Jain, J. Ramkumar, V. Prabhu Raja, M. Kalayarasan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-13
Number of pages11
ISBN (Print)9789811945557
DOIs
Publication statusE-pub ahead of print - 19 Sept 2022
Event8th International and 29th All India Manufacturing Technology, Design and Research Conference , AIMTDR 2021 - Virtual, Online
Duration: 9 Dec 202111 Dec 2021

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference8th International and 29th All India Manufacturing Technology, Design and Research Conference , AIMTDR 2021
CityVirtual, Online
Period9/12/2111/12/21

Keywords

  • CNC machining
  • Point cloud
  • Reverse engineering
  • Toolpath generation

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

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