TY - GEN
T1 - Development of Closed Bounded Volume (CBV) grouping method of complex faceted model through CBV boundaries identification
AU - Kiswanto, Gandjar
AU - Panuju, Achmad Yahya Teguh
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Algorithm
KW - Closed bounded volume
KW - Faceted model
KW - Grouping
UR - http://www.scopus.com/inward/record.url?scp=77952624482&partnerID=8YFLogxK
U2 - 10.1109/ICCAE.2010.5451391
DO - 10.1109/ICCAE.2010.5451391
M3 - Conference contribution
AN - SCOPUS:77952624482
SN - 9781424455850
T3 - 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
SP - 378
EP - 382
BT - 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
T2 - 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Y2 - 26 February 2010 through 28 February 2010
ER -