DocumentCode :
2321552
Title :
Visualized Deformation of Joinery to Understand Jointing Process by Homotopy Theory and Attaching Maps
Author :
Ohmori, Kenji ; Kunii, Tosiyasu L.
Author_Institution :
Comput. & Inf. Sci., Hosei Univ., Tokyo, Japan
fYear :
2011
fDate :
4-6 Oct. 2011
Firstpage :
203
Lastpage :
210
Abstract :
Visualization is effective to understand complicated and sophisticated phenomena. Joiner, which joints pieces of woods and has complex process of jointing, is analyzed and modeled for visualization using homotopy theory and attaching maps. Joining the two pieces of woods changes their structures differently, which depends on jointing techniques. The paper describes difference between the tenon-mortise and lap joints in the fundamental group of homotopy. As the properties of the fundamental group are invariants, they are preserved through modeling from the abstract level to the specific one. When describing the process of jointing, two piece of woods are indirectly connected through a virtual attaching space using an attaching map, which avoids unnecessary consideration of piece relations. Using these concepts of homotopy, the process of jointing two pieces of woods are modeled from the abstract level in homotopy to the middle level of cellular structured spaces, to the specific one of physical presentation.
Keywords :
data visualisation; deformation; joining processes; structural engineering computing; topology; wood; attaching map; cellular structured space; deformation visualization; homotopy theory; joinery; jointing techniques; lap joints; tenon mortise; virtual attaching space; wood pieces; Joining processes; Joints; Lifting equipment; Mathematics; Shape; Strips; Visualization; attaching map; homotopy; homotopy lifting properties; joinery; woodworking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyberworlds (CW), 2011 International Conference on
Conference_Location :
Banff, ON
Print_ISBN :
978-1-4577-1453-5
Type :
conf
DOI :
10.1109/CW.2011.14
Filename :
6079366
Link To Document :
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