Name
Abstract | ||
|---|---|---|
This paper describes an application of high performance computing for industrial sheet metal strain analysis. A grid pattern of small circles is first electrochemically etched on the surface of a sheet metal blank. The blank is then formed into the desired shape. After forming, a laser digitizer scans on the surface of the sheet metal part and collects ( X, Y, Z) coordinate points with the laser beam reflected intensity data. The scan resolution is 10,000 points per square centimetre. Using parallel data processing, each deformed circle is extracted, grouped and fitted. The strains are computed by comparing the fitting result to the original grid element dimensions. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/HPCS.2005.39 | HPCS |
Keywords | Field | DocType |
fitting result,laser digitizer,intensity data,grid pattern,sheet metal part,sheet metal strain analysis,original grid element dimension,sheet metal blank,industrial sheet metal strain,parallel computing,laser beam,parallel data processing,forming processes,data processing,grid computing,shape,parallel computer,etching,capacitive sensors,high performance computing,parallel processing | Data processing,Grid computing,Forming processes,Supercomputer,Computer science,Parallel computing,Laser,Blank,Grid,Sheet metal | Conference |
ISBN | Citations | PageRank |
0-7695-2343-9 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hau-L. Chan | 1 | 0 | 0.34 |
| Allan D. Spence | 2 | 13 | 2.99 |
| Matt P. Sklad | 3 | 0 | 0.34 |