Title :
TOPSAW Sawing Optimization Analysis Using Grid Computing
Author :
Bommathanahalli, Ashwin ; Xie, Maoyuan ; Yun, Zhifeng ; Chang, S.J. ; Lei, Zhou ; Allen, Gabrielle
Author_Institution :
Louisiana State Univ., Baton Rouge
Abstract :
TOPSAW program has been developed and successfully used in the replication of sawmill cutting to determine the optimal cutting pattern for a log to get the maximum value for lumber in terms of dollars based on National Hardwood Lumber Association grading rules. Currently Live sawing, which is one direction sawing, can be simulated for only one rotational orientation and one depth of opening cut using a single workstation. The optimal rotational orientation and depth of the opening cut significantly affects the value of lumber produced. The optimal rotational orientation and the opening position outperformed the mean of 432 possible combinations by 14.7 percent. However the computational time involved in simulation of all the 24 different log orientations and 18 different ways to choose the opening depth for a log proves costly and is not effective for sawmill industry. In order to cut the simulation time we collaborate the TOPSAW and Grid Computing technology to leverage this sawing optimization. In this paper we propose a problem solving environment which makes TOPSAW Grid- enabled. The applicability of this solution is shown by a case study.
Keywords :
cutting; grid computing; optimisation; sawing; TOPSAW sawing optimization analysis; grid computing; optimal cutting pattern; optimal rotational orientation; sawmill cutting; Computational modeling; Computed tomography; Computer industry; Grid computing; High performance computing; Mesh generation; Pattern analysis; Sawing; Sun; Workstations;
Conference_Titel :
Computer and Computational Sciences, 2007. IMSCCS 2007. Second International Multi-Symposiums on
Conference_Location :
Iowa City, IA
Print_ISBN :
978-0-7695-3039-0
DOI :
10.1109/IMSCCS.2007.80