DocumentCode :
2885240
Title :
Countermeasure Researches on the Data Filtration and Intelligent Agent of Eigenfinite Strip
Author :
Li, Guo-chang
Author_Institution :
Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
46
Lastpage :
50
Abstract :
Spline finite strip method is a common theory analysis method of researching cold-bend deformation of the strip steel. In the process of roll forming, some finite strips have the main action for material deformation. These finite strips not only have their own deformation, but also can control other finite strips´ deformation through knot line. The finite strips having this character are defined as eigenfinite strip. Researching the deformation mechanism of eigenfinite strip optimizes the management data of the slab´s deformation. Making eigenfinite strip´s data filter provides guidance for searching eigenfinite strip in theory. Making management for eigenfinite strip´s intelligent agent give suitable actual and automatic design function for pass design. Based on researching spline finite strip method, four characters of eigenfinite strip are provided in this work, which develop theory basis for filtering eigenfinite strip. Furthermore, the arithmetic of filtering eigenfinite strip and plan of intelligent eigenagent are presented, which provide theory basis and structure model for having eigenfinite strip intelligentize
Keywords :
bending; cold rolling; eigenvalues and eigenfunctions; filtering theory; finite element analysis; forming processes; multi-agent systems; slabs; splines (mathematics); steel industry; strips; structural engineering computing; automatic pass design method; cold-bend deformation analysis; eigenfinite strip data filtering; eigenfinite strip intelligent agent; material deformation; roll forming process; slab deformation theory; spline eigenfinite strip deformation method; strip steel; Cybernetics; Educational institutions; Filtering theory; Filtration; Intelligent agent; Intelligent structures; Machine learning; Materials science and technology; Slabs; Spline; Strips; Technology management; Eigentfinite strip; data filtration; eigenagent; knot line; rolling control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258814
Filename :
4028031
Link To Document :
بازگشت