Development of Closed Bounded Volume (CBV) grouping method of complex faceted model through CBV boundaries identification

Gandjar Kiswanto, Achmad Yahya Teguh Panuju

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For developing automatic tool-path planning in multi-axis roughing processes of complex faceted models, the so called Opened Bounded Volume (OBV) and Closed Bounded Volume (CBV) must be identified. The CBV feature in a complex faceted model can be detected through Paired Normal Vectors Bucketing method (PNVB). This paper describes further method to partition the CBV in a model that contains more than one CBV. Possibilities of CBV configuration are identified to define the boundaries between detected CBV. The faceted model is mapped on matrix, in order to analyze the existence of boundaries through matrices scanning procedure. An algorithm is developed and implemented to get the final CBV groups. At the end, each CBV group has its own data structure, to enable further analysis in planning the manufacturing processes. The developed method and algorithms can successfully identify and group all the CBV that exist in complex faceted models.

Original languageEnglish
Title of host publication2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Pages378-382
Number of pages5
DOIs
Publication statusPublished - 28 May 2010
Event2nd International Conference on Computer and Automation Engineering, ICCAE 2010 - Singapore, Singapore
Duration: 26 Feb 201028 Feb 2010

Publication series

Name2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Volume3

Conference

Conference2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Country/TerritorySingapore
CitySingapore
Period26/02/1028/02/10

Keywords

  • Algorithm
  • Closed bounded volume
  • Faceted model
  • Grouping

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