Parallel computing for sheet metal strain analysis

Author

Chan, Hau-L ; Spence, Allan D. ; Sklad, Matt P.

Author_Institution

McMaster Univ., Hamilton, Ont., Canada

fYear

2005

fDate

15-18 May 2005

Firstpage

260

Lastpage

266

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.

Keywords

forming processes; grid computing; mechanical engineering computing; optical scanners; parallel processing; sheet metal processing; strain measurement; grid pattern; high performance computing; industrial sheet metal strain analysis; laser digitizer; parallel computing; parallel data processing; Capacitive sensors; Computer industry; Etching; High performance computing; Metals industry; Parallel processing; Performance analysis; Shape; Surface emitting lasers; Surface fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

High Performance Computing Systems and Applications, 2005. HPCS 2005. 19th International Symposium on

ISSN

1550-5243

Print_ISBN

0-7695-2343-9

Type

conf

DOI

10.1109/HPCS.2005.39

Filename

1430080